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Pre-Owned Bayesian Methods for...Master Bayesian Inference through Practical Examples and Computation-Without A... Master Bayesian Inference through Practical Examples and Computation-Without Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However most discussions of Bayesian inference rely on intensely... more
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Pre-Owned Essential Bayesian M...This accessible reference includes selected contributions from Bayesian Thinki... This accessible reference includes selected contributions from Bayesian Thinking - Modeling and Computation Volume 25 in the Handbook of Statistics Series with a focus on key methodologies and applications for Bayesian models and computation. It... more
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Essential Bayesian Models: A D...This accessible reference includes selected contributions from Bayesian Thinki... This accessible reference includes selected contributions from Bayesian Thinking - Modeling and Computation Volume 25 in the Handbook of Statistics Series with a focus on key methodologies and applications for Bayesian models and computation. It... more
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Pre-Owned Structural Equation ...Structural Equation Modeling: A Bayesian Approach ISBN-10 0470024232 ISBN-13 9... Structural Equation Modeling: A Bayesian Approach ISBN-10 0470024232 ISBN-13 9780470024232 Lee; Sik-Yum 1 edition 432 pages Wiley Binding: Hardcover more
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Pre-Owned Chapman & Hall/CRC S...A Single Cohesive Framework of Tools and Procedures for Psychometrics and Asse... A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques... more
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Bayesian Analysis with Python ...Learn the fundamentals of Bayesian modeling using state-of-the-art Python libr... Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries such as PyMC ArviZ Bambi and more guided by an experienced Bayesian modeler who contributes to these libraries Key Features: - Conduct Bayesian data analysis with... more
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Pre-Owned Chapman & Hall/CRC T...Bayesian Modeling and Computation in Python aims to help beginner Bayesian pra... Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3 Tensorflow Probability ArviZ and other libraries focusing on the practice of applied... more
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Pre-Owned Statistics: Textbook...Along with many practical applications Bayesian Model Selection and Statistica... Along with many practical applications Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts illustrates the derivations of various Bayesian... more
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Pre-Owned Chapman & Hall/CRC T...Probability and Bayesian Modeling is an introduction to probability and Bayesi... Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations conditional... more
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Pre-Owned Wiley Probability an...This book provides clear instructions to researchers on how to apply Structura... This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introduces... more
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Pre-Owned Wiley Probability an...This book brings together a collection of articles on statistical methods rela... This book brings together a collection of articles on statistical methods relating to missing data analysis including multiple imputation propensity scores instrumental variables and Bayesian inference. Covering new research topics and real-world... more
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Pre-Owned Chapman & Hall/CRC T...An engaging sophisticated and fun introduction to the field of Bayesian statis... An engaging sophisticated and fun introduction to the field of Bayesian statistics Bayes Rules!: An Introduction to Applied Bayesian Modeling brings the power of modern Bayesian thinking modeling and computing to a broad audience. In particular the... more
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Pre-Owned Statistics: Textbook...Along with many practical applications Bayesian Model Selection and Statistica... Along with many practical applications Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts illustrates the derivations of various Bayesian... more
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Wiley Probability and Statisti...This book provides clear instructions to researchers on how to apply Structura... This book provides clear instructions to researchers on how to apply Structural Equation Models (SEMs) for analyzing the inter relationships between observed and latent variables. Basic and Advanced Bayesian Structural Equation Modeling introduces... more
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Pre-Owned Bayesian Model Selec...Along with many practical applications Bayesian Model Selection and Statistica... Along with many practical applications Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts illustrates the derivations of various Bayesian... more
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Chapman & Hall/CRC Statistics ...A Single Cohesive Framework of Tools and Procedures for Psychometrics and Asse... A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques... more
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Pre-Owned Bayes Rules!: An Int...Bayes Rules!: An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC... Bayes Rules!: An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science) ISBN-10 0367255391 ISBN-13 9780367255398 Author: Johnson; Alicia A.; Ott; Miles Q.; Dogucu; Mine 1 edition 544 pages Chapman and Hall/CRC... more
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Pre-Owned Chapman & Hall/CRC I...Since the publication of the second edition many new Bayesian tools and method... Since the publication of the second edition many new Bayesian tools and methods have been developed for space-time data analysis the predictive modeling of health outcomes and other spatial biostatistical areas. Exploring these new developments... more
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Multivariate Applications Stru...Modeled after Barbara Byrne s other best-selling structural equation modeling ... Modeled after Barbara Byrne s other best-selling structural equation modeling (SEM) books this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data... more
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Pre-Owned Structural Equation ...This bestselling text provides a practical guide to structural equation modeli... This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear everyday language the text is ideal for those with little to no exposure to either SEM or Amos. The author reviews... more
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Pre-Owned Multivariate Applica...This book illustrates the ease with which various features of LISREL 8 and PRE... This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic... more
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Pre-Owned Multivariate Applica...This bestselling text provides a practical guide to structural equation modeli... This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear everyday language the text is ideal for those with little to no exposure to either SEM or Amos. The author reviews... more
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Pre-Owned Multivariate Applica...Modeled after Barbara Byrne s other best-selling structural equation modeling ... Modeled after Barbara Byrne s other best-selling structural equation modeling (SEM) books this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & 6. The author reviews SEM applications based on actual data... more
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Pre-Owned Structural Equation ...Our books are pre-loved which means they have been read before. We carefully c... Our books are pre-loved which means they have been read before. We carefully check all our books and believe them to be in good condition. If you re not completely satisfied please get in touch & we ll be happy to help. ISBN-10: 0805829245 ISBN-13:... more
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Pre-Owned Multivariate Applica...This book illustrates the ease with which various features of LISREL 8 and PRE... This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic... more
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Pre-Owned Stochastic Modeling ...Stochastic Modeling of Scientific Data combines stochastic modeling and statis... Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common models such as point processes Markov random fields and hidden Markov models in a clear thoughtful and succinct... more
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Pre-Owned Fundamentals of Alge...FUNDAMENTALS OF ALGEBRAIC MODELING 6e presents Algebraic concepts in non-threa... FUNDAMENTALS OF ALGEBRAIC MODELING 6e presents Algebraic concepts in non-threatening easy-to-understand language and numerous step-by-step examples to illustrate ideas. This text aims to help you relate math skills to your daily life as well as a... more
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Pre-Owned Monographs on Mathem...Partial differential equations (PDEs) are used to describe a large variety of ... Partial differential equations (PDEs) are used to describe a large variety of physical phenomena from fluid flow to electromagnetic fields and are indispensable to such disparate fields as aircraft simulation and computer graphics. While most... more
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Pre-Owned Methodology in the S...Growth models are among the core methods for analyzing how and when people cha... Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches this book leads readers step by step through applying each model to longitudinal data to answer... more
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ICTMA: Modeling Students Mathe...Blending theoretical constructs and practical considerations this book explore... Blending theoretical constructs and practical considerations this book explores the vital trend toward using real-world problems as a basis for teaching mathematics skills competencies and applications. It presents papers from the 2009 ICTMA... more
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Pre-Owned Bayesian Models: A S...Bayesian modeling has become an indispensable tool for ecological research bec... Bayesian modeling has become an indispensable tool for ecological research because it is uniquely suited to deal with complexity in a statistically coherent way. This textbook provides a comprehensive and accessible introduction to the latest... more
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Pre-Owned Chapman & Hall/CRC S...An Update of the Most Popular Graduate-Level Introductions to Bayesian Statist... An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has become standard MCMC is well understood and trusted and computing power continues to increase Bayesian Methods: A... more
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Pre-Owned Applied Bayesian For...Practical in its approach Applied Bayesian Forecasting and Time Series Analysi... Practical in its approach Applied Bayesian Forecasting and Time Series Analysis provides the theories methods and tools necessary for forecasting and the analysis of time series. The authors unify the concepts model forms and modeling requirements... more
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Pre-Owned Springer Texts in St...This Bayesian modeling book provides a self-contained entry to computational B... 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... more
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Springer Texts in Statistics B...This Bayesian modeling book provides a self-contained entry to computational B... 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... more
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Pre-Owned Statistics: A Textbo...With Bayesian statistics rapidly becoming accepted as a way to solve applied s... With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems the need for a comprehensive up-to-date source on the latest advances in thisfield has arisen.Presenting the basic theory of a large variety of linear... more
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Pre-Owned A First Course in Ba...9780387922997. Pre-Owned: Good condition. Hard cover. 2009 ed. Language: Engli... 9780387922997. Pre-Owned: Good condition. Hard cover. 2009 ed. Language: English. Pages: 271. Glued binding. Paper over boards. 271 p. Contains: Unspecified Line drawings black & white Tables black & white Figures. Springer Texts in Statistics. A... more
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Pre-Owned Applied Statistical ...Applied Statistical Modelling for Ecologists: A Practical Guide to Bayesian an... Applied Statistical Modelling for Ecologists: A Practical Guide to Bayesian and Likelihood Inference Using R JAGS/Nimble Stan and TMB provides an important guide and comparison of powerful new software packages that are now widely used in research... more
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An Introduction to Bayesian In...These lecture notes provide a rapid accessible introduction to Bayesian statis... These lecture notes provide a rapid accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference including the reasoning behind the prior/likelihood model construction... more
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Pre-Owned Introduction to Prob...The two parts of this book treat probability and statistics as mathematical di... The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum... more
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Pre-Owned Bayesian Methods: A ...Bayesian Methods: A Social and Behavioral Sciences Approach Third Edition (Cha... Bayesian Methods: A Social and Behavioral Sciences Approach Third Edition (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) ISBN-10 1439862486 ISBN-13 9781439862483 Gill; Jeff 3 edition 722 pages Chapman and Hall/CRC Binding:... more
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Pre-Owned Bayesian Inference i...Bayesian Inference in Statistical Analysis by Box George Edward Pelham Bayesian Inference in Statistical Analysis by Box George Edward Pelham more
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Pre-Owned Springer Proceedings...The Contribution of Young Researchers to Bayesian Statistics The Contribution of Young Researchers to Bayesian Statistics more
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Pre-Owned Bayesian Data Analys...Bayesian Data Analysis in Ecology Using Linear Models with R BUGS and STAN exa... Bayesian Data Analysis in Ecology Using Linear Models with R BUGS and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach encouraging readers... more
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Pre-Owned Chapman & Hall/CRC B...Bayesian Missing Data Problems: EM Data Augmentation and Noniterative Computat... Bayesian Missing Data Problems: EM Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes... more
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Pre-Owned Wiley Probability an...Bayesian analysis of complex models based on stochastic processes has in recen... Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes covering the main classes of stochastic... more
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Introduction to Probability an...The two parts of this book treat probability and statistics as mathematical di... The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum... more
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Bayesian Inference: Statistica...The branch of statistical inference which employs the principles of Bayes theo... The branch of statistical inference which employs the principles of Bayes theorem for updating the probability for a hypothesis is known as Bayesian inference. Various techniques and methods studied under this discipline include Markov chains Monte... more
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Pre-Owned The Bayesian Choice:...Bayesian statistics is a very active research area with new theoretical result... Bayesian statistics is a very active research area with new theoretical results and applications. This book will serve as an introduction to the area. more
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Pre-Owned Applied Bayesian Sta...This book is based on over a dozen years teaching a Bayesian Statistics course... This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines including advanced undergraduates studying Mathematics and Statistics and... more
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Pre-Owned Oxford Handbooks The...Bayesian analysis has developed rapidly in applications in the last two decade... Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application... more
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Pre-Owned Wiley Probability an...This book provides an accessible approach to Bayesian computing and data analy... This book provides an accessible approach to Bayesian computing and data analysis with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition this book aims to make a wide range of statistical... more
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Springer Proceedings in Mathem...This book presents a selection of peer-reviewed contributions to the fifth Bay... This book presents a selection of peer-reviewed contributions to the fifth Bayesian Young Statisticians Meeting BaYSM 2021 held virtually due to the COVID-19 pandemic on 1-3 September 2021. Despite all the challenges of an online conference the... more
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Pre-Owned Bayesian Analysis of...In many branches of science relevant observations are taken sequentially over ... In many branches of science relevant observations are taken sequentially over time. Bayesian Analysis of Time Series discusses how to use models that explain the probabilistic characteristics of these time series and then utilizes the Bayesian... more
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Pre-Owned Springer Texts in St...Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a... Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian estimation and forecasting for state space models. The celebrated Kalman filter with its numerous extensions takes centre stage in... more
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Springer Texts in Statistics A...A self-contained introduction to probability exchangeability and Bayes rule pr... A self-contained introduction to probability exchangeability and Bayes rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run as-is allow the reader to perform the data analyses themselves.... more
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Lecture Notes in Statistics Ba...This book links two of the most active areas of statistics Bayesian statistics... This book links two of the most active areas of statistics Bayesian statistics and wavelets. more
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Pre-Owned Bayesian Theory and ...The development of hierarchical models and Markov chain Monte Carlo (MCMC) tec... The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical... more
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Pre-Owned Oxford Science Publi...Statistics lectures have been a source of much bewilderment and frustration fo... Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis. This text is... more
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Pre-Owned Chapman & Hall/CRC T...Bayesian Networks: With Examples in R Second Edition introduces Bayesian netwo... Bayesian Networks: With Examples in R Second Edition introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples illustrate each step of the modelling process and discuss side by side the underlying theory and its... more
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Pre-Owned Scientific Reasoning...In this clearly reasoned defense of Bayes s Theorem -- that probability can be... In this clearly reasoned defense of Bayes s Theorem -- that probability can be used to reasonably justify scientific theories -- Colin Howson and Peter Urbach examine the way in which scientists appeal to probability arguments and demonstrate that... more
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Pre-Owned Springer Statistics ...Bayesian Reliability presents modern methods and techniques for analyzing reli... Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly... more
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Pre-Owned Springer Texts in St...Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a... Bayesian Inference of State Space Models: Kalman Filtering and Beyond offers a comprehensive introduction to Bayesian estimation and forecasting for state space models. The celebrated Kalman filter with its numerous extensions takes centre stage in... more
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Pre-Owned Wiley Probability an...Ein Wiley-Klassiker über Bayes-Statistik jetzt in durchgesehener und erweiter... Ein Wiley-Klassiker über Bayes-Statistik jetzt in durchgesehener und erweiterter Neuauflage! - Werk spiegelt die stürmische Entwicklung dieses Gebietes innerhalb der letzten Jahre wider - vollständige Darstellung der theoretischen Grundlagen -... more
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Bayesian Methods for Structura...Bayesian methods are a powerful tool in many areas of science and engineering ... Bayesian methods are a powerful tool in many areas of science and engineering especially statistical physics medical sciences electrical engineering and information sciences. They are also ideal for civil engineering applications given the numerous... more
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Institute of Mathematical Stat...A graduate-level introduction to advanced topics in Markov chain Monte Carlo (... A graduate-level introduction to advanced topics in Markov chain Monte Carlo (MCMC) as applied broadly in the Bayesian computational context. The topics covered have emerged as recently as the last decade and include stochastic gradient MCMC... more
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Pre-Owned Bayesian Methods for...Broadening its scope to nonstatisticians Bayesian Methods for Data Analysis Th... Broadening its scope to nonstatisticians Bayesian Methods for Data Analysis Third Edition provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a complete reorganization of the material this edition... more
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Pre-Owned Institute of Mathema...Meaningful use of advanced Bayesian methods requires a good understanding of t... Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models with particular focus on computational methods and... more
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Pre-Owned Bayesian Decision An...Bayesian decision analysis supports principled decision making in complex doma... Bayesian decision analysis supports principled decision making in complex domains. This textbook takes the reader from a formal analysis of simple decision problems to a careful analysis of the sometimes very complex and data rich structures... more
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Pre-Owned Bayesian Statistics:...Bayesian Statistics is the school of thought that combines prior beliefs with ... Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee s book appeared in 1989 but the subject has moved ever onwards with... more
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Pre-Owned Wiley Probability an...The use of Bayesian methods for the analysis of data has grown substantially i... The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics psychology economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods... more
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Pre-Owned Institute of Mathema...Meaningful use of advanced Bayesian methods requires a good understanding of t... Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models with particular focus on computational methods and... more
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Pre-Owned Springerbriefs in Op...Accessible to a variety of readers this book is of interest to specialists gra... Accessible to a variety of readers this book is of interest to specialists graduate students and researchers in mathematics optimization computer science operations research management science engineering and other applied areas interested in... more
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Pre-Owned Wiley Probability an...This highly acclaimed text now available in paperback provides a thorough acco... This highly acclaimed text now available in paperback provides a thorough account of key concepts and theoretical results with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts... more
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Fundamentals of Bayesian Epist...Bayesian ideas have recently been applied across such diverse fields as philos... Bayesian ideas have recently been applied across such diverse fields as philosophy statistics economics psychology artificial intelligence and legal theory. Fundamentals of Bayesian Epistemology examines epistemologists use of Bayesian probability... more
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Pre-Owned Scientific Reasoning...In this clearly reasoned defense of Bayes s Theorem -- that probability can be... In this clearly reasoned defense of Bayes s Theorem -- that probability can be used to reasonably justify scientific theories -- Colin Howson and Peter Urbach examine the way in which scientists appeal to probability arguments and demonstrate that... more
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Pre-Owned Multivariate Bayesia...Of the two primary approaches to the classic source separation problem only on... Of the two primary approaches to the classic source separation problem only one does not impose potentially unreasonable model and likelihood constraints: the Bayesian statistical approach. Bayesian methods incorporate the available information... more
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Wiley Probability and Statisti...Bayesian analysis of complex models based on stochastic processes has in recen... Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes covering the main classes of stochastic... more
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Bayesian Nonparametric Statist...Bayesian Nonparametric Statistics: École d Été de Probabilités de ... Bayesian Nonparametric Statistics: École d Été de Probabilités de Saint-Flour Li - 2023 more
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Pre-Owned Multivariate Bayesia...Of the two primary approaches to the classic source separation problem only on... Of the two primary approaches to the classic source separation problem only one does not impose potentially unreasonable model and likelihood constraints: the Bayesian statistical approach. Bayesian methods incorporate the available information... more
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