Bayesian Methods for Statistical Analysis by Borek Puza Publisher: ANU Press 2015ISBN-13: 9781921934254Number of pages: 697 Description:A book on statistical methods for analysing a wide variety of data. Topics
Bayesian Methods: An Analysis for Statisticians and Interdisciplinary Researchers - Leonard, Hsu - 1999 () Citation Context ...lysis are potentially overcome by using what is known as the Laplacian approximation to the marginal probability (see, for example, Carlin & Louis, 2000, pp.122–129; ...
Because Bayesian statistical methods can be applied to any data, regardless of the type of cognitive model (Bayesian or otherwise) that motivated the data collection, Bayesian methods for data analysis will continue to be appropriate even if Bayesian models of mind lose their appeal. View article ...
By contrast,Bayesian analysisprovides coherent methods for computing the power and replication probability. Bayesian power analysis uses the posterior distribution to sample many different plausible parameter values, and for each parameter value generates plausible data that simulate a repetition of the exper...
Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (GLM). The...
This paper presents a conceptual introduction to Bayesian methods, without the use of equations. It would be a good initial piece to introduce to students new to the topic, or those who are from more of a nontechnical background. It is written for developmental psychologists, but students and...
formally incorporated into statistical evaluation, Bayesian methods explicitly quantify the otherwise implicit influ- ence of clinical judgment and prior beliefs on the interpretation of trial results. 在临床试验的统计分析中,常规的频率主...
Bayesian estimation methods for two-way contingency tables. Journal of the Royal Statistical Society, Series B, Methodological, 37, 23-37.Leonard T (1975) Bayesian estimation methods for two-way contingency tables. Journal of the Royal Statistical Society, Series B, Methodological 37: 23-37...
moregeneralstatisticalmethodsformodelfitness.Themediationanalysis basedonstructuralequationmodelmade it possible to analyze the complex structure between variables including mediation effect. Bayesian SEM can provided a more flexible and efficient framework for the estimation of complex models. Based on an...
Bayesian methods provide a complete paradigm for statistical inference under uncertainty. These may be derived from an axiomatic system and provide a coherent methodology which makes it possible to incorporate relevant initial information, and which solves many of the difficulties that frequentist methods ...