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Relevant bibliographies by topics / Estimation theory. Bayesian statistical decision theory. Prediction theory / Dissertations / Theses

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Dissertations / Theses on the topic 'Estimation theory. Bayesian statistical decision theory. Prediction theory'

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Published: 4 June 2021

Last updated: 6 February 2022

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1

Zhang, Jian. "Loss function approaches to predict a spatial quantile and its exceedance region." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1165513428.

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2

Calanni, Fraccone Giorgio M. "Bayesian networks for uncertainty estimation in the response of dynamic structures." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24714.

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Thesis (Ph.D.)--Aerospace Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Dr. Vitali Volovoi; Committee Co-Chair: Dr. Massimo Ruzzene; Committee Member: Dr. Andrew Makeev; Committee Member: Dr. Dewey Hodges; Committee Member: Dr. Peter Cento

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3

Srivastava, Santosh. "Bayesian minimum expected risk estimation of distributions for statistical learning /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6765.

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4

Armstrong, Helen School of Mathematics UNSW. "Bayesian estimation of decomposable Gaussian graphical models." Awarded by:University of New South Wales. School of Mathematics, 2005. http://handle.unsw.edu.au/1959.4/24295.

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This thesis explains to statisticians what graphical models are and how to use them for statistical inference; in particular, how to use decomposable graphical models for efficient inference in covariance selection and multivariate regression problems. The first aim of the thesis is to show that decomposable graphical models are worth using within a Bayesian framework. The second aim is to make the techniques of graphical models fully accessible to statisticians. To achieve these aims the thesis makes a number of statistical contributions. First, it proposes a new prior for decomposable graphs

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5

Lee, Suhwon. "Nonparametric bayesian density estimation with intrinsic autoregressive priors /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p3115565.

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6

Farrell, Patrick John. "Empirical Bayes estimation of small area proportions." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70301.

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Due to the nature of survey design, the estimation of parameters associated with small areas is extremely problematic. In this study, techniques for the estimation of small area proportions are proposed and implemented. More specifically, empirical Bayes estimation methodologies, where random effects which reflect the complex structure of a multi-stage sample design are incorporated into logistic regression models, are derived and studied.<br>The proposed techniques are applied to data from the 1950 United States Census to predict local labor force participation rates of females. Results are c

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7

Ren, Cuirong. "Topics in bayesian estimation : frequentist risks and hierarchical models for time to pregnancy /." free to MU campus, to others for purchase, 2001. http://wwwlib.umi.com/cr/mo/fullcit?p3025647.

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8

Jung, Hyungmin. "Essays on business cycles persistence, shocks and estimation /." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1120465599.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xi, 126 p.; also includes graphics. Includes bibliographical references (p. 121-126). Available online via OhioLINK's ETD Center

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9

Keim, Michelle. "Bayesian information retrieval /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/8937.

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10

Yang, Boye. "Online auction price prediction a Bayesian updating framework based on the feedback history /." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43085830.

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11

Poole, David. "Bayesian inference for noninvertible deterministic simulation models, with application to bowhead whale assessment /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/8981.

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12

Van, der Merwe Rudolph. "Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models." Full text open access at:, 2004. http://content.ohsu.edu/u?/etd,8.

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13

Oleson, Jacob J. "Bayesian spatial models for small area estimation /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3052203.

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14

Yang, Boye, and 扬博野. "Online auction price prediction: a Bayesian updating framework based on the feedback history." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43085830.

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15

Liu, Ka-yee. "Bayes and empirical Bayes estimation for the panel threshold autoregressive model and non-Gaussian time series." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B30706166.

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16

Liu, Ka-yee, and 廖家怡. "Bayes and empirical Bayes estimation for the panel threshold autoregressive model and non-Gaussian time series." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B30706166.

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17

Campbell, David Alexander. "Bayesian collocation tempering and generalized profiling for estimation of parameters from differential equation models." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=103368.

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The widespread use of ordinary differential equation (ODE) models has long been underrepresented in the statistical literature. The most common methods for estimating parameters from ODE models are nonlinear least squares and an MCMC based method. Both of these methods depend on a likelihood involving the numerical solution to the ODE. The challenge faced by these methods is parameter spaces that are difficult to navigate, exacerbated by the wide variety of behaviours that a single ODE model can produce with respect to small changes in parameter values.<br>In this work, two competing methods,

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18

Cai, Kun, and 蔡琨. "Bayesian carrier frequency offset estimation in orthogonal frequency division multiplexing systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42841367.

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19

Cai, Kun. "Bayesian carrier frequency offset estimation in orthogonal frequency division multiplexing systems." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42841367.

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20

Ardia, David. "Financial risk management with Bayesian estimation of GARCH models theory and applications." Berlin Heidelberg Springer, 2008. http://d-nb.info/987538780/04.

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21

Anderson, Sandra Lee. "Prediction of a school superintendent's tenure using regression and Bayesian analyses." Diss., Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/49917.

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A model was developed to incorporate the major forces impacting upon a school superintendent and the descriptors, stability measures, intentions and processes of those forces. Tenure was determined to be the best outcome measure, thus the model became a quantitative method for predicting tenure. A survey measuring characteristics of the community, School Board, and the superintendent was sent to superintendents nationwide who had left a superintendency between 1983 and 1985. Usable forms were returned by 835 persons. The regression analysis was significant (p ≤ .0000) and accounted for 40% of

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22

Scuderi, Marco Giovanni. "Bayesian approaches to learning from data how to untangle the travel behavior and land use relationships." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/3201.

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Thesis (Ph. D.)--University of Maryland, College Park, 2005.<br>"Bayesian scoring is used to evaluate and compare results from actual data collected for the Baltimore Metropolitan Area with the set of predominant conceptual frameworks linking travel behavior and land use obtained from the literature"--Abstract. Includes bibliographical references (p. 167-176) and abstract.

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23

Conlon, Erin Marie. "Estimation and flexible correlation structures in spatial hierarchical models of disease mapping /." Diss., ON-CAMPUS Access For University of Minnesota, Twin Cities Click on "Connect to Digital Dissertations", 1999. http://www.lib.umn.edu/articles/proquest.phtml.

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24

Eldud, Omer Ahmed Abdelkarim. "Prediction of protein secondary structure using binary classificationtrees, naive Bayes classifiers and the Logistic Regression Classifier." Thesis, Rhodes University, 2016. http://hdl.handle.net/10962/d1019985.

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The secondary structure of proteins is predicted using various binary classifiers. The data are adopted from the RS126 database. The original data consists of protein primary and secondary structure sequences. The original data is encoded using alphabetic letters. These data are encoded into unary vectors comprising ones and zeros only. Different binary classifiers, namely the naive Bayes, logistic regression and classification trees using hold-out and 5-fold cross validation are trained using the encoded data. For each of the classifiers three classification tasks are considered, namely helix

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25

Remenyi, Norbert. "Contributions to Bayesian wavelet shrinkage." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45898.

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This thesis provides contributions to research in Bayesian modeling and shrinkage in the wavelet domain. Wavelets are a powerful tool to describe phenomena rapidly changing in time, and wavelet-based modeling has become a standard technique in many areas of statistics, and more broadly, in sciences and engineering. Bayesian modeling and estimation in the wavelet domain have found useful applications in nonparametric regression, image denoising, and many other areas. In this thesis, we build on the existing techniques and propose new methods for applications in nonparametric regression, image d

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26

Greer, Brandi A. Young Dean M. "Bayesian and pseudo-likelihood interval estimation for comparing two Poisson rate parameters using under-reported data." Waco, Tex. : Baylor University, 2008. http://hdl.handle.net/2104/5283.

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27

Kroon, Rodney Stephen. "A framework for estimating risk." Thesis, Link to the online version, 2008. http://hdl.handle.net/10019.1/1104.

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28

Cross, Richard J. (Richard John). "Inference and Updating of Probabilistic Structural Life Prediction Models." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19828.

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Aerospace design requirements mandate acceptable levels of structural failure risk. Probabilistic fatigue models enable estimation of the likelihood of fatigue failure. A key step in the development of these models is the accurate inference of the probability distributions for dominant parameters. Since data sets for these inferences are of limited size, the fatigue model parameter distributions are themselves uncertain. A hierarchical Bayesian approach is adopted to account for the uncertainties in both the parameters and their distribution. Variables specifying the distribution of the f

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29

Aerts, Xing Qin. "Time Series Data Analysis of Single Subject Experimental Designs Using Bayesian Estimation." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804882/.

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This study presents a set of data analysis approaches for single subject designs (SSDs). The primary purpose is to establish a series of statistical models to supplement visual analysis in single subject research using Bayesian estimation. Linear modeling approach has been used to study level and trend changes. I propose an alternate approach that treats the phase change-point between the baseline and intervention conditions as an unknown parameter. Similar to some existing approaches, the models take into account changes in slopes and intercepts in the presence of serial dependency. The Bayes

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30

Erhardt, Erik Barry. "Bayesian Simultaneous Intervals for Small Areas: An Application to Mapping Mortality Rates in U.S. Health Service Areas." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0105104-195633/.

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Thesis (M.S.) -- Worcester Polytechnic Institute.<br>Keywords: Poisson-Gamma Regression; MCMC; Bayesian; Small Area Estimation; Simultaneous Inference; Statistics Includes bibliographical references (p. 61-67).

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31

Wiggins, Matthew Corbin. "Bayesian based risk stratification of atrial fibrillation in coronary artery bypass graft patients." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/24775.

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Thesis (Ph.D.)--Bioengineering, Georgia Institute of Technology, 2007.<br>Committee Co-Chair: Litt, Brian; Committee Co-Chair: Vachtsevanos, George; Committee Member: Butera, Robert; Committee Member: Frazier, Bruno; Committee Member: Gerstenfeld, Edward; Committee Member: Hunt, William.

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32

Merkle, Edgar C. "Bayesian estimation of factor analysis models with incomplete data." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1126895149.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xi, 106 p.; also includes graphics. Includes bibliographical references (p. 103-106). Available online via OhioLINK's ETD Center

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33

Martins, Marcella Scoczynski Ribeiro. "A hybrid multi-objective bayesian estimation of distribution algorithm." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2806.

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Atualmente, diversas metaheurísticas têm sido desenvolvidas para tratarem problemas de otimização multiobjetivo. Os Algoritmos de Estimação de Distribuição são uma classe específica de metaheurísticas que exploram o espaço de variáveis de decisão para construir modelos de distribuição de probabilidade a partir das soluções promissoras. O modelo probabilístico destes algoritmos captura estatísticas das variáveis de decisão e suas interdependências com o problema de otimização. Além do modelo probabilístico, a incorporação de métodos de busca local em Algoritmos Evolutivos Multiobjetivo pode mel

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34

Barette, Tammy S. "A Bayesian approach to the estimation of adult skeletal age assessing the facility of multifactorial and three-dimensional methods to improve accuracy of age estimation /." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1180543680.

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35

Vo, Ba Tuong. "Random finite sets in Multi-object filtering." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2009.0045.

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[Truncated abstract] The multi-object filtering problem is a logical and fundamental generalization of the ubiquitous single-object vector filtering problem. Multi-object filtering essentially concerns the joint detection and estimation of the unknown and time-varying number of objects present, and the dynamic state of each of these objects, given a sequence of observation sets. This problem is intrinsically challenging because, given an observation set, there is no knowledge of which object generated which measurement, if any, and the detected measurements are indistinguishable from false ala

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36

Han, Gang. "Modeling the output from computer experiments having quantitative and qualitative input variables and its applications." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1228326460.

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37

Jiang, Zhuojun. "Incorporating image-based data in AADT estimation methodology and numerical investigation of increased accuracy /." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1123724063.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xi, 184 p.; also includes graphics (some col.). Includes bibliographical references (p. 158-167). Available online via OhioLINK's ETD Center

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38

Haj, Chhadé Hiba. "Data fusion and collaborative state estimation in wireless sensor networks." Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2207/document.

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L'objectif de la thèse est de développer des algorithmes de fusion de données recueillies à l’aide d'un réseau de capteurs sans fil afin de localiser plusieurs sources émettant un agent chimique ou biologique dans l'air. Ces capteurs détectent la concentration de la substance émise, transportée par advection et diffusion, au niveau de leurs positions et de communiquer cette information à un centre de traitement. L’information recueillie de façon collaborative est d'abord utilisée pour localiser les capteurs déployés au hasard et ensuite pour localiser les sources. Les applications comprennent,

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39

Nguyen, Dinh Tuan. "Propriétés asymtpotiques et inférence avec des données manquantes pour les modèles de maintenance imparfaite." Thesis, Troyes, 2015. http://www.theses.fr/2015TROY0034/document.

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Cette thèse est consacrée à la modélisation de la maintenance imparfaite par les modèles statistiques. La maintenance imparfaite est le cas intermédiaire de deux situations extrêmes : la maintenance minimale où le système est remis en état qu’il se trouve juste avant la défaillance, et la maintenance parfaite où le système est remplacé à neuf. Dans ce cadre, les expressions analytiques des grandeurs de fiabilité d’un modèle de maintenance imparfaite sont développées. La convergence du modèle est soulignée, et les lois asymptotiques dans le régime stationnaire sont proposées. Ensuite, les lois

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40

Antelo, Junior Ernesto Willams Molina. "Estimação conjunta de atraso de tempo subamostral e eco de referência para sinais de ultrassom." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2616.

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CAPES<br>Em ensaios não destrutivos por ultrassom, o sinal obtido a partir de um sistema de aquisição de dados real podem estar contaminados por ruído e os ecos podem ter atrasos de tempo subamostrais. Em alguns casos, esses aspectos podem comprometer a informação obtida de um sinal por um sistema de aquisição. Para lidar com essas situações, podem ser utilizadas técnicas de estimativa de atraso temporal (Time Delay Estimation ou TDE) e também técnicas de reconstrução de sinais, para realizar aproximações e obter mais informações sobre o conjunto de dados. As técnicas de TDE podem ser utiliza

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41

Lin, Lie-fen. "Uses of Bayesian posterior modes in solving complex estimation problems in statistics." Thesis, 1992. http://hdl.handle.net/1957/36872.

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In Bayesian analysis, means are commonly used to summarize Bayesian posterior distributions. Problems with a large number of parameters often require numerical integrations over many dimensions to obtain means. In this dissertation, posterior modes with respect to appropriate measures are used to summarize Bayesian posterior distributions, using the Newton-Raphson method to locate modes. Further inference of modes relies on the normal approximation, using asymptotic multivariate normal distributions to approximate posterior distributions. These techniques are applied to two statistical estimat

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42

Yang, Lili. "Joint models for longitudinal and survival data." Thesis, 2014. http://hdl.handle.net/1805/4666.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Epidemiologic and clinical studies routinely collect longitudinal measures of multiple outcomes. These longitudinal outcomes can be used to establish the temporal order of relevant biological processes and their association with the onset of clinical symptoms. In the first part of this thesis, we proposed to use bivariate change point models for two longitudinal outcomes with a focus on estimating the correlation between the two change points. We adopted a Bayesian approach for parameter estimation and inference. In the second par

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43

"Some developments of local quasi-likelihood estimation and optimal Bayesian sampling plans for censored data." 1999. http://library.cuhk.edu.hk/record=b6073148.

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by Jian Wei Chen.<br>"May 1999."<br>Thesis (Ph.D.)--Chinese University of Hong Kong, 1999.<br>Includes bibliographical references (p. 178-180).<br>Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Electronic reproduction. Ann Arbor, MI : ProQuest Information and Learning Company, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Mode of access: World Wide Web.

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44

Post, van der Burg Max. "Pseudorandom walks in ecological analysis capturing uncertainty for better estimation and decision making /." 2008. http://proquest.umi.com/pqdweb?did=1633768271&sid=1&Fmt=2&clientId=14215&RQT=309&VName=PQD.

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Thesis (Ph.D.)--University of Nebraska-Lincoln, 2008.<br>Title from title screen (site viewed Feb. 17, 2009). PDF text: x, 145 p. : ill. (some col.) ; 2 Mb. UMI publication number: AAT 3331439. Includes bibliographical references. Also available in microfilm and microfiche formats.

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45

"Analysis of multivariate probit model in several populations." Thesis, 2007. http://library.cuhk.edu.hk/record=b6074209.

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Keywords: MCEM algorithm; Gibbs sampler; Multivariate probit model; Multi-group; BIC.<br>The main purpose of this paper is to develop maximum likelihood and Bayesian approach for the multivariate probit model in several populations. A Monte Carlo EM algorithm is proposed for obtaining the maximum likelihood estimates and the Gibbs sampler is used to produce the joint Bayesian estimates. To test hypotheses involving constraints among the structural parameters of MP model across groups, we use the method of Bayesian Information Criterion(BIC). The simulation study will be given to certify the ac

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46

Tao, Shuqin Vispoel Walter P. "Using collateral information in the estimation of sub-scores --- a fully Bayesian approach." 2009. http://ir.uiowa.edu/etd/321.

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Kilaru, Gokhul Krishna. "USE OF APRIORI KNOWLEDGE ON DYNAMIC BAYESIAN MODELS IN TIME-COURSE EXPRESSION DATA PREDICTION." Thesis, 2012. http://hdl.handle.net/1805/2774.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Bayesian networks, one of the most widely used techniques to understand or predict the future by making use of current or previous data, have gained credence over the last decade for their ability to simulate large gene expression datasets to track and predict the reasons for changes in biological systems. In this work, we present a dynamic Bayesian model with gene annotation scores such as the gene characterization index (GCI) and the GenCards inferred functionality score (GIFtS) to understand and assess the prediction performance o

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48

Teravainen, Timothy. "Semiparametric Estimation of a Gaptime-Associated Hazard Function." Thesis, 2014. https://doi.org/10.7916/D80R9MDV.

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This dissertation proposes a suite of novel Bayesian semiparametric estimators for a proportional hazard function associated with the gaptimes, or inter-arrival times, of a counting process in survival analysis. The Cox model is applied and extended in order to identify the subsequent effect of an event on future events in a system with renewal. The estimators may also be applied, without changes, to model the effect of a point treatment on subsequent events, as well as the effect of an event on subsequent events in neighboring subjects. These Bayesian semiparametric estimators are used to an

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49

Sehlabana, Makwelantle Asnath. "Modelling malaria in the Limpopo Province, South Africa : comparison of classical and bayesian methods of estimation." Thesis, 2020. http://hdl.handle.net/10386/3375.

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Thesis (M.Sc. (Statistics)) -- University of Limpopo, 2020<br>Malaria is a mosquito borne disease, a major cause of human morbidity and mortality in most of the developing countries in Africa. South Africa is one of the countries with high risk of malaria transmission, with many cases reported in Mpumalanga and Limpopo provinces. Bayesian and classical methods of estimation have been applied and compared on the effect of climatic factors (rainfall, temperature, normalised difference vegetation index, and elevation) on malaria incidence. Credible and confidence intervals from a negative b

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50

Fang, Yan. "Extensions to Gaussian copula models." Thesis, 2012. http://hdl.handle.net/1957/29482.

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A copula is the representation of a multivariate distribution. Copulas are used to model multivariate data in many fields. Recent developments include copula models for spatial data and for discrete marginals. We will present a new methodological approach for modeling discrete spatial processes and for predicting the process at unobserved locations. We employ Bayesian methodology for both estimation and prediction. Comparisons between the new method and Generalized Additive Model (GAM) are done to test the performance of the prediction. Although there exists a large variety of copula functio

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