Relevant bibliographies by topics / Partial likelihood (Statistics)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Partial likelihood (Statistics)'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Partial likelihood (Statistics)"

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Broström, Göran, and Marie Lindkvist. "Partial Partial Likelihood." Communications in Statistics - Simulation and Computation 37, no. 4 (2008): 679–86. http://dx.doi.org/10.1080/03610910701884021.

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Wang, Qi-Hua, and Bing-Yi Jing. "Empirical likelihood for partial linear models." Annals of the Institute of Statistical Mathematics 55, no. 3 (2003): 585–95. http://dx.doi.org/10.1007/bf02517809.

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Chan, Schultz, and Malay Ghosh. "A geometric optimally of Cox's partial likelihood." Canadian Journal of Statistics 27, no. 2 (1999): 315–20. http://dx.doi.org/10.2307/3315641.

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Fan, Jianqing, Huazhen Lin, and Yong Zhou. "Local partial-likelihood estimation for lifetime data." Annals of Statistics 34, no. 1 (2006): 290–325. http://dx.doi.org/10.1214/009053605000000796.

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Yip, Paul S. F., and Qizhi Chen. "A Partial Likelihood Estimator of Vaccine Efficacy." Australian & New Zealand Journal of Statistics 42, no. 3 (2000): 367–74. http://dx.doi.org/10.1111/1467-842x.00133.

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Slud, Eric V. "Inefficiency of inferences with the partial likelihood." Communications in Statistics - Theory and Methods 15, no. 11 (1986): 3333–51. http://dx.doi.org/10.1080/03610928608829314.

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Kim, Yongdai, and Dohyun Kim. "Bayesian partial likelihood approach for tied observations." Journal of Statistical Planning and Inference 139, no. 2 (2009): 469–77. http://dx.doi.org/10.1016/j.jspi.2008.05.008.

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Qin, Gengsheng, and Bing-Yi Jing. "Censored Partial Linear Models and Empirical Likelihood." Journal of Multivariate Analysis 78, no. 1 (2001): 37–61. http://dx.doi.org/10.1006/jmva.2000.1944.

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Taylor, Julian D., and Arūnas P. Verbyla. "ASYMPTOTIC LIKELIHOOD APPROXIMATIONS USING A PARTIAL LAPLACE APPROXIMATION." Australian & New Zealand Journal of Statistics 48, no. 4 (2006): 465–76. http://dx.doi.org/10.1111/j.1467-842x.2006.00451.x.

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Chen, Songnian, and Lingzhi Zhou. "Local partial likelihood estimation in proportional hazards regression." Annals of Statistics 35, no. 2 (2007): 888–916. http://dx.doi.org/10.1214/009053606000001299.

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Dissertations / Theses on the topic "Partial likelihood (Statistics)"

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Yang, Hanfang. "Jackknife Emperical Likelihood Method and its Applications." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/math_diss/9.

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In this dissertation, we investigate jackknife empirical likelihood methods motivated by recent statistics research and other related fields. Computational intensity of empirical likelihood can be significantly reduced by using jackknife empirical likelihood methods without losing computational accuracy and stability. We demonstrate that proposed jackknife empirical likelihood methods are able to handle several challenging and open problems in terms of elegant asymptotic properties and accurate simulation result in finite samples. These interesting problems include ROC curves with missing data
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Zhang, Shiju. "Statistical Inferences under a semiparametric finite mixture model." See Full Text at OhioLINK ETD Center (Requires Adobe Acroba Reader for viewing), 2005. http://www.ohiolink.edu/etd/view.cgi?toledo1135779503.

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Thesis (Ph.D.)--University of Toledo, 2005.<br>Typescript. "A dissertation [submitted] as partial fulfillment of the requirements of the Doctor of Philosophy degree in Mathematics." Bibliography: leaves 100-105.
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Sampath, Srinath. "Analysis of Agreement Between Two Long Ranked Lists." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1385415346.

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Xie, Lin. "Statistical inference for rankings in the presence of panel segmentation." Diss., Kansas State University, 2011. http://hdl.handle.net/2097/13247.

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Doctor of Philosophy<br>Department of Statistics<br>Paul Nelson<br>Panels of judges are often used to estimate consumer preferences for m items such as food products. Judges can either evaluate each item on several ordinal scales and indirectly produce an overall ranking, or directly report a ranking of the items. A complete ranking orders all the items from best to worst. A partial ranking, as we use the term, only reports rankings of the best q out of m items. Direct ranking, the subject of this report, does not require the widespread but questionable practice of treating ordinal measurement
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Chang, Shu-Ching. "Antedependence Models for Skewed Continuous Longitudinal Data." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/4827.

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This thesis explores the problems of fitting antedependence (AD) models and partial antecorrelation (PAC) models to continuous non-Gaussian longitudinal data. AD models impose certain conditional independence relations among the measurements within each subject, while PAC models characterize the partial correlation relations. The models are parsimonious and useful for data exhibiting time-dependent correlations. Since the relation of conditional independence among variables is rather restrictive, we first consider an autoregressively
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Borges, Cristiano Amâncio Vieira. "Modelos lineares generalizadas para series temporais com memoria longa." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306149.

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Orientador: Mauricio Enrique Zevallos Herencia<br>Dissertação (mestrado) - Universidade Estadadual de Campinas, Instituto de Matematica, Estatistica e Computação Cientifica<br>Made available in DSpace on 2018-08-15T13:14:28Z (GMT). No. of bitstreams: 1 Borges_CristianoAmancioVieira_M.pdf: 2172730 bytes, checksum: 3a0a212a114d920caf7bafe3f7a04868 (MD5) Previous issue date: 2010<br>Resumo: A modelagem de séries temporais não gaussianas é um tema de alta relevância na análise de séries temporais. Utilizando-se de estimação por verossimilhança parcial, Kedem e Fokianos (2002) estenderam sistemat
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Adkins, Laura Jean. "A Generalization of the EM Algorithm for Maximum Likelihood Estimation in Mallows' Model Using Partially Ranked Data and Asymptotic Relative Efficiencies for Some Ranking Tests of The K-Sample Problem /." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487933245538208.

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Schliep, Klaus Peter. "Some applications of statistical phylogenetics : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Biomathematics at Massey University." Massey University, 2009. http://hdl.handle.net/10179/931.

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The increasing availability of molecular data means that phylogenetic studies nowadays often use datasets which combine a large number of loci for many different species. This leads to a trade-off. On the one hand more complex models are preferred to account for heterogeneity in evolutionary processes. On the other hand simple models that can answer biological questions of interest that are easy to interpret and can be computed in reasonable time are favoured. This thesis focuses on four cases of phylogenetic analysis which arise from this conflict. - It is shown that edge weight estimates can
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Li, Chenxue. "Some Novel Statistical Inferences." 2016. http://scholarworks.gsu.edu/math_diss/33.

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In medical diagnostic studies, the area under the Receiver Operating Characteristic (ROC) curve (AUC) and Youden index are two summary measures widely used in the evaluation of the diagnostic accuracy of a medical test with continuous test results. The first half of this dissertation will highlight ROC analysis including extension of Youden index to the partial Youden index as well as novel confidence interval estimation for AUC and Youden index in the presence of covariates in induced linear regression models. Extensive simulation results show that the proposed methods perform well with small
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Löcherbach, Eva. "Statistical models and likelihood ratio proesses for interacting particle systems with branching and immigration /." 1999. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015163778&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Books on the topic "Partial likelihood (Statistics)"

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McCleary, Richard, David McDowall, and Bradley J. Bartos. Noise Modeling. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190661557.003.0003.

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Chapter 3 introduces the Box-Jenkins AutoRegressive Integrated Moving Average (ARIMA) noise modeling strategy. The strategy begins with a test of the Normality assumption using a Kolomogov-Smirnov (KS) statistic. Non-Normal time series are transformed with a Box-Cox procedure is applied. A tentative ARIMA noise model is then identified from a sample AutoCorrelation function (ACF). If the sample ACF identifies a nonstationary model, the time series is differenced. Integer orders p and q of the underlying autoregressive and moving average structures are then identified from the ACF and partial a
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Book chapters on the topic "Partial likelihood (Statistics)"

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Greenwood, P., and W. Wefelmeyer. "Partial Likelihood and Estimating Equations." In Institute of Mathematical Statistics Lecture Notes - Monograph Series. Institute of Mathematical Statistics, 1997. http://dx.doi.org/10.1214/lnms/1215455035.

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Ghosh, J. K. "Likelihood and Partial Likelihood." In Statistical Information and Likelihood. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3894-2_17.

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Ghosh, J. K. "Partial Sufficiency." In Statistical Information and Likelihood. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3894-2_6.

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Lindley, Dennis V. "Bernoulli Pairs with Invariant Reversals: An Example of Partial Likelihood." In Advances in the Statistical Sciences: Foundations of Statistical Inference. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4788-7_5.

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Beckett, Laurel A. "Maximum Likelihood Estimation in Mallows’s Model Using Partially Ranked Data." In Probability Models and Statistical Analyses for Ranking Data. Springer New York, 1993. http://dx.doi.org/10.1007/978-1-4612-2738-0_6.

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"Parametric Likelihood Fits." In Statistical Analysis Techniques in Particle Physics. Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527677320.ch2.

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Ye, Xujiong, and Greg Slabaugh. "A Model-Driven Bayesian Method for Polyp Detection and False Positive Suppression in CT Colonography Computer-Aided Detection." In Machine Learning in Computer-Aided Diagnosis. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0059-1.ch011.

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This chapter presents an automated method to identify colonic polyps and suppress false positives for Computer-Aided Detection (CAD) in CT Colonography (CTC). The method formulates the problem of polyp detection as a probability calculation through a unified Bayesian statistical approach. The polyp likelihood is modeled with a combination of shape, intensity, and location features, while also taking into account the spatial prior probability encoded by a Markov Random Field. A second principal curvature PDE provides a shape model; and partial volume effect is incorporated in the intensity model. When evaluated on a large multi-center dataset of colonic CT scans, the CAD detection performance as well as the volume overlap ratio demonstrate the potential of the proposed method. The method results in an average 24% reduction of false positives with no impact on sensitivity. The method is also applicable to generation of initial candidates for CTC CAD with high detection sensitivity and relatively lower false positives, compared to other non-Bayesian methods.
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Conference papers on the topic "Partial likelihood (Statistics)"

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Ikoma, Norikazu. "Likelihood adjustment among multiple targets for particle dependent tracking in particle filters." In 2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP). IEEE, 2009. http://dx.doi.org/10.1109/ssp.2009.5278536.

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Repp, Rene, Pavel Rajmic, Florian Meyer, and Franz Hlawatsch. "Target Tracking Using a Distributed Particle-Pda Filter With Sparsity-Promoting Likelihood Consensus." In 2018 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2018. http://dx.doi.org/10.1109/ssp.2018.8450815.

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Closas, Pau, Juan A. Fernandez-Rubio, and Carles Fernandez Prades. "Particle Filtering Applied to Robust Multivariate Likelihood Optimization in the Absence of a Closed-Form Solution." In 2006 IEEE Nonlinear Statistical Signal Processing Workshop. IEEE, 2006. http://dx.doi.org/10.1109/nsspw.2006.4378849.

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Palally, H. R., S. Chen, W. Yao, and L. Hanzo. "Particle swarm optimisation aided semi-blind joint maximum likelihood channel estimation and data detection for MIMO systems." In 2009 IEEE/SP 15th Workshop on Statistical Signal Processing (SSP). IEEE, 2009. http://dx.doi.org/10.1109/ssp.2009.5278578.

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Youn, Byeng D., Byung C. Jung, Zhimin Xi, and Sang Bum Kim. "A Hierarchical Model Validation of Predictive Models for Engineering Product Development." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87571.

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As the role of predictive models has increased, the fidelity of computational results has been of great concern to engineering decision makers. Often our limited understanding of complex systems leads to building inappropriate predictive models. To address a growing concern about the fidelity of the predictive models, this paper proposes a hierarchical model validation procedure with two validation activities: (1) validation planning (top-down) and (2) validation execution (bottom-up). In the validation planning, engineers define either the physics-of-failure (PoF) mechanisms or the system per
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Shahidi, Parham, Reza A. Soltan, Steve C. Southward, and Mehdi Ahmadian. "Estimating Changes in Speech Metrics Indicative of Fatigue Levels." In ASME 2010 Rail Transportation Division Fall Technical Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/rtdf2010-42010.

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In this paper, we are presenting a novel approach to estimate fatigue levels of train conductors, by analyzing the speech signal. An independent neural network joined with a Markov Model, will output the probability density, which illustrates the likelihood of the result of the first step to be accurate. Vigilance research has shown that, for most operators engaged in attention-intensive and monotonous tasks, retaining a constant level of alertness is almost impossible. Sleeping disorders, reduced hours of rest and disrupted circadian rhythms amplify this effect and lead to significantly incre
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