Three Essays On Bayesian Choice Models Microform
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Three Essays On Bayesian Choice Models Microform
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Author : Jin Gyo Kim
language : en
Publisher: National Library of Canada = Bibliothèque nationale du Canada
Release Date : 2002
Three Essays On Bayesian Choice Models Microform written by Jin Gyo Kim and has been published by National Library of Canada = Bibliothèque nationale du Canada this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.
Three Essays On Choice Modeling
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Author : Tiziano Razzolini
language : en
Publisher:
Release Date : 2005
Three Essays On Choice Modeling written by Tiziano Razzolini and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
The Bayesian Choice
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Author : Christian Robert
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-27
The Bayesian Choice written by Christian Robert and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-27 with Mathematics categories.
This is an introduction to Bayesian statistics and decision theory, including advanced topics such as Monte Carlo methods. This new edition contains several revised chapters and a new chapter on model choice.
Three Essays On The Application Of Discrete Choice Models With Discrete Continuous Heterogeneity Distributions
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Author : Chen Wang
language : en
Publisher:
Release Date : 2016
Three Essays On The Application Of Discrete Choice Models With Discrete Continuous Heterogeneity Distributions written by Chen Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Unobserved heterogeneity is comprehensively acknowledged as an important feature to be considered in discrete choice modeling. Over the last decade, there were abundant studies showing the great outperformance of capturing unobserved heterogeneity of Mixed-Mixed Logit(MM-MNL) models. However, most empirical researches still use mixed logit(MIXL) models or latent class(LC) models which introduced strong assumptions on distributions of marginal utility. In this dissertation, a Mixed-Mixed Logit model(MM-MNL) that assumes a non-parametric mixing distribution for marginal utility is discussed. Consequently, three empirical studies solving different transportation problems are introduced.
Three Essays On Using Data Mining For Covariate Interactions In Discrete Choice Models
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Author : Ingo Bentrott
language : en
Publisher:
Release Date : 2012
Three Essays On Using Data Mining For Covariate Interactions In Discrete Choice Models written by Ingo Bentrott and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Consumers' preferences categories.
Essays On Model Specification Tests And On Binary Response Models
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Author : Xiangjin Shen
language : en
Publisher:
Release Date : 2013
Essays On Model Specification Tests And On Binary Response Models written by Xiangjin Shen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Bayesian statistical decision theory categories.
This dissertation consists of three essays evaluating model selection criteria in both sampling theory and Bayesian analysis. In chapter one, I compare the Bayesian model selection criteria (DIC, PDIC and MSEF) and the conditional Kolmogorov test for the spot asset pricing models (Vasicek and CIR models); MCMC and block Bootstrap methods are applied. In chapter two, I compare parametric and semiparametric methods for the binary response models. The comparison is made by model specifications, ROC area, and marginal effects. Monte Carlo simulation, quasi-maximum likelihood and kernel density methods are applied. In chapter three, I compare two bandwidths of the kernel density: the standard bandwidth and computationally optimized bandwidth. The computationally optimized bandwidth is obtained by using the graphic processing unit (GPU) that shortens the computational time.
Bayesian Structural Equation Modeling
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Author : Sarah Depaoli
language : en
Publisher: Guilford Publications
Release Date : 2021-08-16
Bayesian Structural Equation Modeling written by Sarah Depaoli and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-16 with Social Science categories.
This book offers researchers a systematic and accessible introduction to using a Bayesian framework in structural equation modeling (SEM). Stand-alone chapters on each SEM model clearly explain the Bayesian form of the model and walk the reader through implementation. Engaging worked-through examples from diverse social science subfields illustrate the various modeling techniques, highlighting statistical or estimation problems that are likely to arise and describing potential solutions. For each model, instructions are provided for writing up findings for publication, including annotated sample data analysis plans and results sections. Other user-friendly features in every chapter include "Major Take-Home Points," notation glossaries, annotated suggestions for further reading, and sample code in both Mplus and R. The companion website (www.guilford.com/depaoli-materials) supplies data sets; annotated code for implementation in both Mplus and R, so that users can work within their preferred platform; and output for all of the book’s examples.
Dissertation Abstracts International
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Author :
language : en
Publisher:
Release Date : 2004
Dissertation Abstracts International written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Dissertations, Academic categories.
American Doctoral Dissertations
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Author :
language : en
Publisher:
Release Date : 2002
American Doctoral Dissertations written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Dissertation abstracts categories.
Bayesian Essentials With R
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Author : Jean-Michel Marin
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-10-28
Bayesian Essentials With R written by Jean-Michel Marin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-28 with Computers categories.
This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable. Bayesian Essentials with R can be used as a textbook at both undergraduate and graduate levels. It is particularly useful with students in professional degree programs and scientists to analyze data the Bayesian way. The text will also enhance introductory courses on Bayesian statistics. Prerequisites for the book are an undergraduate background in probability and statistics, if not in Bayesian statistics.