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Relevant bibliographies by topics / Profile Likelihood

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Academic literature on the topic 'Profile Likelihood'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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Journal articles on the topic "Profile Likelihood"

1

Lin, Lu, and Runchu Zhang. "Profile quasi-likelihood." Statistics & Probability Letters 56, no. 2 (January 2002): 147–54. http://dx.doi.org/10.1016/s0167-7152(01)00168-7.

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Flynn, Cheryl, and Patrick Perry. "Profile likelihood biclustering." Electronic Journal of Statistics 14, no. 1 (2020): 731–68. http://dx.doi.org/10.1214/19-ejs1667.

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Murphy, S. A., and A. W. Van Der Vaart. "On Profile Likelihood." Journal of the American Statistical Association 95, no. 450 (June 2000): 449–65. http://dx.doi.org/10.1080/01621459.2000.10474219.

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Cole, S. R., H. Chu, and S. Greenland. "Maximum Likelihood, Profile Likelihood, and Penalized Likelihood: A Primer." American Journal of Epidemiology 179, no. 2 (October 29, 2013): 252–60. http://dx.doi.org/10.1093/aje/kwt245.

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Bickel, Peter J., and Ya'acov Ritov. "On Profile Likelihood: Comment." Journal of the American Statistical Association 95, no. 450 (June 2000): 466. http://dx.doi.org/10.2307/2669387.

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Fan, Jianqing, and Wing-Hung Wong. "On Profile Likelihood: Comment." Journal of the American Statistical Association 95, no. 450 (June 2000): 468. http://dx.doi.org/10.2307/2669388.

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Li, Bing. "On Profile Likelihood: Comment." Journal of the American Statistical Association 95, no. 450 (June 2000): 472. http://dx.doi.org/10.2307/2669389.

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Shen, Xiaotong. "On Profile Likelihood: Comment." Journal of the American Statistical Association 95, no. 450 (June 2000): 474. http://dx.doi.org/10.2307/2669390.

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Robins, James M., Andrea Rotnitzky, and Mark van der Laan. "On Profile Likelihood: Comment." Journal of the American Statistical Association 95, no. 450 (June 2000): 477. http://dx.doi.org/10.2307/2669391.

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Murphy, S. A., and A. W. van der Vaart. "On Profile Likelihood: Rejoinder." Journal of the American Statistical Association 95, no. 450 (June 2000): 482. http://dx.doi.org/10.2307/2669392.

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Dissertations / Theses on the topic "Profile Likelihood"

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Li, Hongfei. "Approximate profile likelihood estimation for spatial-dependence parameters." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1191267954.

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Tunyi, Abongeh Akumbom. "Takeover likelihood modelling : target profile and portfolio returns." Thesis, University of Glasgow, 2014. http://theses.gla.ac.uk/5445/.

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This thesis investigates four interrelated research issues in the context of takeover likelihood modelling. These include: (1) the determinants of target firms’ takeover likelihood, (2) the extent to which targets can be predicted using publicly available information, (3) whether target prediction can form the basis of a profitable investment strategy, and – if not – (4) why investing in predicted targets is a suboptimal investment strategy. The research employs a UK sample of 32,363 firm-year observations (consisting of 1,635 target and 31,737 non-target firm-year observations) between 1988 and 2010. Prior literature relies on eight (old) hypotheses for modelling takeover likelihood – determinants of takeover likelihood. Consistent with prior studies, I find that takeover likelihood increases with the availability of free cash flow (Powell (1997, 2001, 2004)), the level of tangible assets (Ambrose and Megginson (1992)) and management inefficiency (Palepu (1986)), but decreases with firm age (Brar et al. (2009)). The empirical evidence lends no support to the firm undervaluation, industry disturbance, growth-resource mismatch or firm size hypotheses (Palepu (1986)). I extend prior research by developing eleven (new) hypotheses for target prediction. Consistent with the new hypotheses, I find evidence that takeover likelihood is an inverse U-shaped function of firm size, leverage and payroll burden. Takeover likelihood also increases with share repurchase activity, market liquidity and stock market performance and decreases with industry concentration. As anticipated, the new hypotheses improve the within-sample classification and out-of-sample predictive abilities of prior takeover prediction models. This study also contributes to the literature by exploring the effects of different methodological choices on the performance of takeover prediction models. The analyses reveal that the performance of prediction models is moderated by different modelling choices. For example, I find evidence that the use of longer estimation windows (e.g., a recursive model), as well as, portfolio selection techniques which yield larger holdout samples (deciles and quintiles) generally result in more optimal model performance. Importantly, I show that some of the methodological choices of prior researchers (e.g., a one-year holdout period and a matched-sampling methodology) either directly biases research findings or results in suboptimal model performance. Additionally, there is no evidence that model parameters go stale, at least not over a ten-year out-of-sample test period. Hence, the parameters developed in this study can be employed by researchers and practitioners to ascribe takeover probabilities to UK firms. Despite the new model’s success in predicting targets, I find that, consistent with the market efficiency hypothesis, predicted target portfolios do not consistently earn significant positive abnormal returns in the long run. That is, despite the high target concentrations achieved, the portfolios generate long run abnormal returns which are not statistically different from zero. I extend prior literature by showing that these portfolios are likely to achieve lower than expected returns for five reasons. First, a substantial proportion of each predicted target portfolio constitutes type II errors (i.e., non-targets) which, on average, do not earn significant positive abnormal returns. Second, the portfolios tend to hold a high number of firms that go bankrupt leading to a substantial decline in portfolio returns. Third, the presence of poorly-performing small firms within the portfolios further dilutes its returns. Fourth, targets perform poorly prior to takeover bids and this period of poor performance coincides with the portfolio holding period. Fifth, targets that can be successfully predicted tend to earn lower-than-expected holding period returns, perhaps, due to market-wide anticipation. Overall, this study contributes to the literature by developing new hypotheses for takeover prediction, by advancing a more robust methodological framework for developing and testing prediction models and by empirically explaining why takeover prediction as an investment strategy is, perhaps, a suboptimal strategy.

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Liu, Huayu. "Modified Profile Likelihood Approach for Certain Intraclass Correlation Coefficient." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/96.

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In this paper we consider the problem of constructing confidence intervals and lower bounds forthe intraclass correlation coefficient in an interrater reliability study where the raters are randomly selected from a population of raters.The likelihood function of the interrater reliability is derived and simplified, and the profile likelihood based approach is readily available for computing the confidence intervals of the interrater reliability. Unfortunately, the confidence intervals computed by using the profile likelihood function are in general too narrow to have the desired coverage probabilities. From the point view of practice, a conservative approach, if is at least as precise as any existing method, is preferred sinceit gives the correct results with a probability higher than claimed. Under this rationale, we propose the so-called modified likelihood approach in this paper. Simulation study shows that, the proposed method in general has better performance than currently used methods.

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Gerhard, Daniel [Verfasser]. "Simultaneous small sample inference based on profile likelihood / Daniel Gerhard." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover, 2010. http://d-nb.info/1008373680/34.

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Pan, Juming. "Adaptive LASSO For Mixed Model Selection via Profile Log-Likelihood." Bowling Green State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1466633921.

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Läuter, Henning. "On approximate likelihood in survival models." Universität Potsdam, 2006. http://opus.kobv.de/ubp/volltexte/2011/5161/.

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We give a common frame for different estimates in survival models. For models with nuisance parameters we approximate the profile likelihood and find estimates especially for the proportional hazard model.

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Pere, Pekka. "Adjusted profile likelihood applied to estimation and testing of unit roots." Thesis, University of Oxford, 1997. http://ora.ox.ac.uk/objects/uuid:d90da262-5a4b-4114-9426-cbecb1413a30.

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A short review of unit-root econometrics is given from the point of view of testing. The adjusted likelihoods of Cox and Reid (1987, 1993) are presented and applied to the usual AR(1) with constant, an AR(1) process suggested by Bhargava (1986), and an AR(2) process. Biases of the associated maximum-likelihood estimates (MLEs) are pondered briefly. A Wald statistic based on adjusted profile likelihood is proposed. The Cox-Reid adjusted estimate (AE) for the autoregressive coefficient of the unit-root AR(1) model with zero constant is even asymptotically more accurate, in terms of mean-square error (MSE), than the MLE. The derived tests are more powerful than the corresponding Dickey-Fuller tests if the starting value of the process deviates sufficiently from the unconditional mean. An iteratively adjusted estimate is introduced which can also be more accurate than the MLE. We obtain also an estimate and a Wald statistic which are asymptotically distributed compactly and symmetrically around zero under a unit root but the estimate is not consistent in general. The MLE and the AE are consistent not only as the sample size tends to infinity but also when the (absolute value of the) deviation of the starting value from the unconditional mean of the time series is tuned towards infinity. The finding exposes why Wald-kind of tests are more powerful than tests based on standardised coefficients when the starting value lies far from the unconditional mean. The AE and the corresponding Wald statistic are derived for the Bhargava AR(1) model. We obtain the asymptotic distributions of them and simulate the previously unknown finite sample distributions of the MLE and the usual Wald statistic under a unit root. Again the AE is the more accurate estimate. Distortion towards a unit root is pointed out. The adjusted estimate and the Wald statistic follow their asymptotic distributions better than the unadjusted when the process is a unit-root AR(1) with drift or the Bhargava AR(1). Accuracy is gained also under the unit-root AR(2) model. A practical advice is to apply a unit-root test based on the Bhargava model when the process can be assumed to have started from the unconditional mean under the alternative and otherwise a test based on the ordinary AR(1) with constant model. The adjustment often decreases the bias at the cost of variance but it can yield a reduction in both, too, which happens under the Bhargava model and 'typically' under the unit-root AR(2) model. The two most distinctive findings are perhaps that the AE can be asymptotically more accurate than the corresponding MLE or in finite samples when the AE is calculated from an embedding model.

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Di, Gangi Pietro. "Study of the sensitivity of the XENON1T experiment with the profile likelihood method." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8348/.

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Oggi sappiamo che la materia ordinaria rappresenta solo una piccola parte dell'intero contenuto in massa dell'Universo. L'ipotesi dell'esistenza della Materia Oscura, un nuovo tipo di materia che interagisce solo gravitazionalmente e, forse, tramite la forza debole, è stata avvalorata da numerose evidenze su scala sia galattica che cosmologica. Gli sforzi rivolti alla ricerca delle cosiddette WIMPs (Weakly Interacting Massive Particles), il generico nome dato alle particelle di Materia Oscura, si sono moltiplicati nel corso degli ultimi anni. L'esperimento XENON1T, attualmente in costruzione presso i Laboratori Nazionali del Gran Sasso (LNGS) e che sarà in presa dati entro la fine del 2015, segnerà un significativo passo in avanti nella ricerca diretta di Materia Oscura, che si basa sulla rivelazione di collisioni elastiche su nuclei bersaglio. XENON1T rappresenta la fase attuale del progetto XENON, che ha già realizzato gli esperimenti XENON10 (2005) e XENON100 (2008 e tuttora in funzione) e che prevede anche un ulteriore sviluppo, chiamato XENONnT. Il rivelatore XENON1T sfrutta circa 3 tonnellate di xeno liquido (LXe) e si basa su una Time Projection Chamber (TPC) a doppia fase. Dettagliate simulazioni Monte Carlo della geometria del rivelatore, assieme a specifiche misure della radioattività dei materiali e stime della purezza dello xeno utilizzato, hanno permesso di predire con accuratezza il fondo atteso. In questo lavoro di tesi, presentiamo lo studio della sensibilità attesa per XENON1T effettuato tramite il metodo statistico chiamato Profile Likelihood (PL) Ratio, il quale nell'ambito di un approccio frequentista permette un'appropriata trattazione delle incertezze sistematiche. In un primo momento è stata stimata la sensibilità usando il metodo semplificato Likelihood Ratio che non tiene conto di alcuna sistematica. In questo modo si è potuto valutare l'impatto della principale incertezza sistematica per XENON1T, ovvero quella sulla emissione di luce di scintillazione dello xeno per rinculi nucleari di bassa energia. I risultati conclusivi ottenuti con il metodo PL indicano che XENON1T sarà in grado di migliorare significativamente gli attuali limiti di esclusione di WIMPs; la massima sensibilità raggiunge una sezione d'urto σ=1.2∙10-47 cm2 per una massa di WIMP di 50 GeV/c2 e per una esposizione nominale di 2 tonnellate∙anno. I risultati ottenuti sono in linea con l'ambizioso obiettivo di XENON1T di abbassare gli attuali limiti sulla sezione d'urto, σ, delle WIMPs di due ordini di grandezza. Con tali prestazioni, e considerando 1 tonnellata di LXe come massa fiduciale, XENON1T sarà in grado di superare gli attuali limiti (esperimento LUX, 2013) dopo soli 5 giorni di acquisizione dati.

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Dai, Chenglu. "The Profile Likelihood Method in Finding Confidence Intervals and its Comparison with the Bootstrap Percentile Method." Fogler Library, University of Maine, 2008. http://www.library.umaine.edu/theses/pdf/DaiC2008.pdf.

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Debenedetti, Chiara. "Search for VH → leptons + b¯b with the ATLAS experiment at the LHC." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9909.

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The search for a Higgs boson decaying to a b¯b pair is one of the key analyses ongoing at the ATLAS experiment. Despite being the largest branching ratio decay for a Standard Model Higgs boson, a large dataset is necessary to perform this analysis because of the very large backgrounds affecting the measurement. To discriminate the electroweak H → b¯b signal from the large QCD backgrounds, the associated production of the Higgs with a W or a Z boson decaying leptonically is used. Different techniques have been proposed to enhance the signal over background ratio in the VH(b¯b) channel, from dedicated kinematic cuts, to a single large radius jet to identify the two collimated b’s in the Higgs high transverse momentum regime, to multivariate techniques. The high-pT approach, using a large radius jet to identify the b’s coming from the Higgs decay, has been tested against an analysis based on kinematic cuts for a dataset of 4.7 fb−1 luminosity at √s = 7 TeV, and compatible results were found for the same transverse momentum range. Using a kinematic cut based approach the VH(b¯b) signal search has been performed for the full LHC Run 1 dataset: 4.7 fb−1 at √s = 7 TeV and 20.7 fb−1 at √s = 8 TeV. Several backgrounds to this analysis, such as Wb¯b have not been measured in data yet, and an accurate study of the theoretical description has been performed, comparing the predictions of various Monte Carlo generators at different orders. The complexity of the analysis requires a profile likelihood fit with several categories and almost 200 parameters, taking into account all the systematics coming from experimental or modelling limitations, to extract the result. To validate the fit model, a test of the ability to extract the signal is performed on the resonant V Z(b¯b) background. A 4.8σ excess compatible with the Standard Model rate expectation has been measured, with a best fit value μVZ = 0.93+0.22−0.21. The full LHC Run1 dataset result for the VH(b¯b) process is a limit of (1.3)1.4 x SM (expected) observed, with a best fit value of 0.2±0.5(stat)±0.4(sys) for a Higgs boson of 125 GeV mass.

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Books on the topic "Profile Likelihood"

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Fraser, D. A. S. Adjustments to profile likelihood. Toronto: University of Toronto, Dept. of Statistics, 1988.

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DiCiccio, Thomas J. On the implementation of profile likelihood methods. Toronto, Ont: University of Toronto, Dept. of Statistics, 1991.

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Böhning, Dankmar. Meta-analysis of binary data using profile likelihood. Boca Raton: CRC Press, 2008.

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Tibshirani, Robert. A note on profile likelihood, least favourable families and Kullback-Leibler distance. Toronto: University of Toronto, Dept. of Statistics, 1985.

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McCullagh, P. A simple method for the adjustment of profile likelihoods. Toronto: University of Toronto, Dept. of Statistics, 1988.

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Meta-analysis of Binary Data Using Profile Likelihood (Interdisciplinary Statistics). Chapman & Hall/CRC, 2008.

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Cheng, Russell. Standard Asymptotic Theory. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0003.

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This book relies on maximum likelihood (ML) estimation of parameters. Asymptotic theory assumes regularity conditions hold when the ML estimator is consistent. Typically an additional third derivative condition is assumed to ensure that the ML estimator is also asymptotically normally distributed. Standard asymptotic results that then hold are summarized in this chapter; for example, the asymptotic variance of the ML estimator is then given by the Fisher information formula, and the log-likelihood ratio, the Wald and the score statistics for testing the statistical significance of parameter estimates are all asymptotically equivalent. Also, the useful profile log-likelihood then behaves exactly as a standard log-likelihood only in a parameter space of just one dimension. Further, the model can be reparametrized to make it locally orthogonal in the neighbourhood of the true parameter value. The large exponential family of models is briefly reviewed where a unified set of regular conditions can be obtained.

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Feng, Alexander J., George C. Chang Chien, and Alan D. Kaye. NMDA Receptor Antagonists, Gabapentinoids, Alpha-2 Agonists, and Dexamethasone. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190457006.003.0002.

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Surgical pain is a major obstacle in the recovery of patients. Effective pain management is of upmost importance to optimize a patient’s recovery, decrease medical complications, and increase patient satisfaction. Traditional pain management with opioids and nonsteroidal anti-inflammatory drugs have significant side effect profiles leading to medical complications or insufficient pain management from reluctance of use. Adjuvant analgesic can provide improved pain management with significantly less side effect profile. In addition, the clinician can, with synergistic effects of adjuvant medications, lower the total dosages used, thus lessening the likelihood of the side effects that occur when medications are used alone at a higher dosage. This chapter presents several adjuvant analgesics—NMDA receptor antagonists, gabapentinoids, alpha-2 agonists, and dexamethasone—and evidence for their use. Ultimately, through the use of traditional pain management options along with adjuvant analgesics, the effectiveness of acute pain management can be increased while adverse outcomes are reduced and functional recovery and quality of life improved.

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Cheng, Russell. Embedded Distributions: Two Numerical Examples. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0007.

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This chapter illustrates use of (i) the score statistic and (ii) a goodness-of-fit statistic to test if an embedded model provides an adequate fit, in the latter case with critical values calculated by bootstrapping. Also illustrated is (iii) calculation of parameter confidence intervals and CDF confidence bands using both asymptotic theory and bootstrapping, and (iv) use of profile log-likelihood plots to display the form of the maximized log-likelihood and scatterplots for checking convergence to normality of estimated parameter distributions. Two different data sets are analysed. In the first, the generalized extreme value (GEVMin) distribution and its embedded model the simple extreme value (EVMin) are fitted to Kevlar-fibre breaking strength data. In the second sample, the four-parameter Burr XII distribution, its three-parameter embedded models, the GEVMin, Type II generalized logistic and Pareto and two-parameter embedded models, the EVMin and shifted exponential, are fitted to carbon-fibre strength data and compared.

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Cheng, Russell. Change-Point Models. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0011.

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This chapter investigates change-point (hazard rate) probability models for the random survival time in some population of interest. A parametric probability distribution is assumed with parameters to be estimated from a sample of observed survival times. If a change-point parameter, denoted by τ‎, is included to represent the time at which there is a discrete change in hazard rate, then the model is non-standard. The profile log-likelihood, with τ‎ as profiling parameter, has a discontinuous jump at every τ‎ equal to a sampled value, becoming unbounded as τ‎ tends to the largest observation. It is known that maximum likelihood estimation can still be used provided the range of τ‎ is restricted. It is shown that the alternative maximum product of spacings method is consistent without restriction on τ‎. Censored observations which commonly occur in survival-time data can be accounted for using Kaplan-Meier estimation. A real data numerical example is given.

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Book chapters on the topic "Profile Likelihood"

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Koenker, Roger, and Jiaying Gu. "Frailty, Profile Likelihood, and Medfly Mortality." In Contemporary Developments in Statistical Theory, 227–37. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02651-0_14.

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Han, Yanjun, and Kirankumar Shiragur. "On the Competitive Analysis and High Accuracy Optimality of Profile Maximum Likelihood." In Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA), 1317–36. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2021. http://dx.doi.org/10.1137/1.9781611976465.80.

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Dickhaus, Thorsten. "Self-concordant Profile Empirical Likelihood Ratio Tests for the Population Correlation Coefficient: A Simulation Study." In Springer Proceedings in Mathematics & Statistics, 253–60. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13881-7_28.

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van der Land, Sarah F., Lotte M. Willemsen, and Suzanne A. J. Unkel. "Are Spectacles the Female Equivalent of Beards for Men? How Wearing Spectacles in a LinkedIn Profile Picture Influences Impressions of Perceived Credibility and Job Interview Likelihood." In Lecture Notes in Computer Science, 175–84. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20895-4_17.

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Lamminpää, Otto, Marko Laine, Simo Tukiainen, and Johanna Tamminen. "Likelihood Informed Dimension Reduction for Remote Sensing of Atmospheric Constituent Profiles." In 2017 MATRIX Annals, 65–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04161-8_6.

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Fröhlich, Fabian, Fabian J. Theis, and Jan Hasenauer. "Uncertainty Analysis for Non-identifiable Dynamical Systems: Profile Likelihoods, Bootstrapping and More." In Computational Methods in Systems Biology, 61–72. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12982-2_5.

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Hundertmark, Claudia, Lothar Jänsch, and Frank Klawonn. "Fuzzy Clustering of Likelihood Curves for Finding Interesting Patterns in Expression Profiles." In Intelligent Systems Reference Library, 599–622. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01799-5_18.

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Klawonn, Frank, Claudia Choi, Beatrice Benkert, Bernhard Thielen, Richard Münch, Max Schobert, Dietmar Schomburg, and Dieter Jahn. "A Likelihood Ratio Test for Differential Metabolic Profiles in Multiple Intensity Measurements." In Lecture Notes in Computer Science, 485–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74827-4_61.

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Yin, Chao, Yihai He, Zhen Shen, and Chun-hui Wu. "A Comparison of the Modified Likelihood-Ratio-Test-Based Shewhart and EWMA Control Charts for Monitoring Binary Profiles." In The 19th International Conference on Industrial Engineering and Engineering Management, 23–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38391-5_3.

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Tofighi, Maryam, Ebrahim Mazaheri, and Jeffrey E. Anderson. "The Effect of Social Network Endorsement Type on Subsequent Endorsement Likelihood of Nonprofits and For-Profit Companies: An Abstract." In Enlightened Marketing in Challenging Times, 477–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42545-6_158.

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Conference papers on the topic "Profile Likelihood"

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Tran, Son N., and Artur d'Avila Garcez. "Adaptive Transferred-profile Likelihood Learning." In 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016. http://dx.doi.org/10.1109/ijcnn.2016.7727536.

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Dogancay, Kutluyll, and Hatem Hmam. "Profile Likelihood Estimator for Passive Scan-Based Emitter Localization." In 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366880.

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Acharya, Jayadev. "Profile Maximum Likelihood is Optimal for Estimating KL Divergence." In 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 2018. http://dx.doi.org/10.1109/isit.2018.8437461.

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Charikar, Moses, Kirankumar Shiragur, and Aaron Sidford. "Efficient profile maximum likelihood for universal symmetric property estimation." In STOC '19: 51st Annual ACM SIGACT Symposium on the Theory of Computing. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3313276.3316398.

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Zhang, Xinran, Chao Lu, and Ying Wang. "Identifiability Analysis of Load Model Parameter Identification with Likelihood Profile Method." In 2018 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2018. http://dx.doi.org/10.1109/pesgm.2018.8586673.

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Chen, Runze, Hongbin Sun, Wenchuan Wu, Yizhong Hu, and Boming Zhang. "Parameter identifiability analysis of power system transient models based on profile likelihood." In 2014 IEEE Power & Energy Society General Meeting. IEEE, 2014. http://dx.doi.org/10.1109/pesgm.2014.6939242.

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Guoqiang, Feng, Guo Yufei, and Jiang Ruomei. "A fast maximum likelihood measurement for the time delay of pulse profile." In 2018 IEEE CSAA Guidance, Navigation and Control Conference (GNCC). IEEE, 2018. http://dx.doi.org/10.1109/gncc42960.2018.9018948.

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Cornell, Brett, Barbara Rosario Montes Nunez, and Ferella Davide Alfredo. "Hands on XENON-100: background and signal modeling and profile likelihood analysis." In Gran Sasso Summer Institute 2014 Hands-On Experimental Underground Physics at LNGS. Trieste, Italy: Sissa Medialab, 2015. http://dx.doi.org/10.22323/1.229.0017.

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Liu, Wenbo, Gong Zhang, Wangcai Chen, and Cheng Hang. "Radar Hrrp Target Recognition Based ON Stacked Frame Maximum Likelihood Profile-Trajectory Similarity Autoencoders." In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8899159.

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Rogala, Eric W. "Measuring complex index and surface profile through phase-shifting interferometric techniques and maximum-likelihood estimation theory." In 17th Congress of the International Commission for Optics: Optics for Science and New Technology. SPIE, 1996. http://dx.doi.org/10.1117/12.2298968.

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Reports on the topic "Profile Likelihood"

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McDonagh, Marian, Andrea C. Skelly, Amy Hermesch, Ellen Tilden, Erika D. Brodt, Tracy Dana, Shaun Ramirez, et al. Cervical Ripening in the Outpatient Setting. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepccer238.

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Abstract:

Objectives. To assess the comparative effectiveness and potential harms of cervical ripening in the outpatient setting (vs. inpatient, vs. other outpatient intervention) and of fetal surveillance when a prostaglandin is used for cervical ripening. Data sources. Electronic databases (Ovid® MEDLINE®, Embase®, CINAHL®, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews) to July 2020; reference lists; and a Federal Register notice. Review methods. Using predefined criteria and dual review, we selected randomized controlled trials (RCTs) and cohort studies of cervical ripening comparing prostaglandins and mechanical methods in outpatient versus inpatient settings; one outpatient method versus another (including placebo or expectant management); and different methods/protocols for fetal surveillance in cervical ripening using prostaglandins. When data from similar study designs, populations, and outcomes were available, random effects using profile likelihood meta-analyses were conducted. Inconsistency (using I2) and small sample size bias (publication bias, if ≥10 studies) were assessed. Strength of evidence (SOE) was assessed. All review methods followed Agency for Healthcare Research and Quality Evidence-based Practice Center methods guidance. Results. We included 30 RCTs and 10 cohort studies (73% fair quality) involving 9,618 women. The evidence is most applicable to women aged 25 to 30 years with singleton, vertex presentation and low-risk pregnancies. No studies on fetal surveillance were found. The frequency of cesarean delivery (2 RCTs, 4 cohort studies) or suspected neonatal sepsis (2 RCTs) was not significantly different using outpatient versus inpatient dinoprostone for cervical ripening (SOE: low). In comparisons of outpatient versus inpatient single-balloon catheters (3 RCTs, 2 cohort studies), differences between groups on cesarean delivery, birth trauma (e.g., cephalohematoma), and uterine infection were small and not statistically significant (SOE: low), and while shoulder dystocia occurred less frequently in the outpatient group (1 RCT; 3% vs. 11%), the difference was not statistically significant (SOE: low). In comparing outpatient catheters and inpatient dinoprostone (1 double-balloon and 1 single-balloon RCT), the difference between groups for both cesarean delivery and postpartum hemorrhage was small and not statistically significant (SOE: low). Evidence on other outcomes in these comparisons and for misoprostol, double-balloon catheters, and hygroscopic dilators was insufficient to draw conclusions. In head to head comparisons in the outpatient setting, the frequency of cesarean delivery was not significantly different between 2.5 mg and 5 mg dinoprostone gel, or latex and silicone single-balloon catheters (1 RCT each, SOE: low). Differences between prostaglandins and placebo for cervical ripening were small and not significantly different for cesarean delivery (12 RCTs), shoulder dystocia (3 RCTs), or uterine infection (7 RCTs) (SOE: low). These findings did not change according to the specific prostaglandin, route of administration, study quality, or gestational age. Small, nonsignificant differences in the frequency of cesarean delivery (6 RCTs) and uterine infection (3 RCTs) were also found between dinoprostone and either membrane sweeping or expectant management (SOE: low). These findings did not change according to the specific prostaglandin or study quality. Evidence on other comparisons (e.g., single-balloon catheter vs. dinoprostone) or other outcomes was insufficient. For all comparisons, there was insufficient evidence on other important outcomes such as perinatal mortality and time from admission to vaginal birth. Limitations of the evidence include the quantity, quality, and sample sizes of trials for specific interventions, particularly rare harm outcomes. Conclusions. In women with low-risk pregnancies, the risk of cesarean delivery and fetal, neonatal, or maternal harms using either dinoprostone or single-balloon catheters was not significantly different for cervical ripening in the outpatient versus inpatient setting, and similar when compared with placebo, expectant management, or membrane sweeping in the outpatient setting. This evidence is low strength, and future studies are needed to confirm these findings.

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Carney, Nancy, Tamara Cheney, Annette M. Totten, Rebecca Jungbauer, Matthew R. Neth, Chandler Weeks, Cynthia Davis-O'Reilly, et al. Prehospital Airway Management: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), June 2021. http://dx.doi.org/10.23970/ahrqepccer243.

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Objective. To assess the comparative benefits and harms across three airway management approaches (bag valve mask [BVM], supraglottic airway [SGA], and endotracheal intubation [ETI]) by emergency medical services in the prehospital setting, and how the benefits and harms differ based on patient characteristics, techniques, and devices. Data sources. We searched electronic citation databases (Ovid® MEDLINE®, CINAHL®, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews, and Scopus®) from 1990 to September 2020 and reference lists, and posted a Federal Register notice request for data. Review methods. Review methods followed Agency for Healthcare Research and Quality Evidence-based Practice Center Program methods guidance. Using pre-established criteria, studies were selected and dual reviewed, data were abstracted, and studies were evaluated for risk of bias. Meta-analyses using profile-likelihood random effects models were conducted when data were available from studies reporting on similar outcomes, with analyses stratified by study design, emergency type, and age. We qualitatively synthesized results when meta-analysis was not indicated. Strength of evidence (SOE) was assessed for primary outcomes (survival, neurological function, return of spontaneous circulation [ROSC], and successful advanced airway insertion [for SGA and ETI only]). Results. We included 99 studies (22 randomized controlled trials and 77 observational studies) involving 630,397 patients. Overall, we found few differences in primary outcomes when airway management approaches were compared. • For survival, there was moderate SOE for findings of no difference for BVM versus ETI in adult and mixed-age cardiac arrest patients. There was low SOE for no difference in these patients for BVM versus SGA and SGA versus ETI. There was low SOE for all three comparisons in pediatric cardiac arrest patients, and low SOE in adult trauma patients when BVM was compared with ETI. • For neurological function, there was moderate SOE for no difference for BVM compared with ETI in adults with cardiac arrest. There was low SOE for no difference in pediatric cardiac arrest for BVM versus ETI and SGA versus ETI. In adults with cardiac arrest, neurological function was better for BVM and ETI compared with SGA (both low SOE). • ROSC was applicable only in cardiac arrest. For adults, there was low SOE that ROSC was more frequent with SGA compared with ETI, and no difference for BVM versus SGA or BVM versus ETI. In pediatric patients there was low SOE of no difference for BVM versus ETI and SGA versus ETI. • For successful advanced airway insertion, low SOE supported better first-pass success with SGA in adult and pediatric cardiac arrest patients and adult patients in studies that mixed emergency types. Low SOE also supported no difference for first-pass success in adult medical patients. For overall success, there was moderate SOE of no difference for adults with cardiac arrest, medical, and mixed emergency types. • While harms were not always measured or reported, moderate SOE supported all available findings. There were no differences in harms for BVM versus SGA or ETI. When SGA was compared with ETI, there were no differences for aspiration, oral/airway trauma, and regurgitation; SGA was better for multiple insertion attempts; and ETI was better for inadequate ventilation. Conclusions. The most common findings, across emergency types and age groups, were of no differences in primary outcomes when prehospital airway management approaches were compared. As most of the included studies were observational, these findings may reflect study design and methodological limitations. Due to the dynamic nature of the prehospital environment, the results are susceptible to indication and survival biases as well as confounding; however, the current evidence does not favor more invasive airway approaches. No conclusion was supported by high SOE for any comparison and patient group. This supports the need for high-quality randomized controlled trials designed to account for the variability and dynamic nature of prehospital airway management to advance and inform clinical practice as well as emergency medical services education and policy, and to improve patient-centered outcomes.

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