Search 250 million research papers

Read the abstract, see who wrote it and who cites it, and get the citation in APA, MLA, Chicago or Harvard.

About 10,000 papers for “Bayesian analysis”

Bayesian Analysis

Felix Holzmeister, Colin Camerer, Anna Dreber Almenberg et al. · OSF Preprints (OSF Preprints)

Cited by 0

Bayesian Analysis

Shuji Ogino, Robert B. Wilson · 2007

Cited by 0

Bayesian analysis

Wetzels, R., van Ravenzwaaij, D., Wagenmakers, E.--J. et al. · Data Archiving and Networked Services (DANS) · 2015

Cited by 0

After making some general remarks, I consider two examples that illustrate the use of Bayesian Probability Theory. The first is a simple one, the physicist’s favorite “toy, ” that provides a forum for a discussion of the key conceptual

Cited by 0

Bayesian Analysis

Herbie Lee, MIRA, ANTONIETTA · IrInSubria (University of Insubria) · 2011

Cited by 0

Bayesian Analysis

Colin Camerer, Anna Dreber Almenberg, Teck-Hua Ho et al. · OSF Preprints (OSF Preprints) · 2018

Cited by 0

Bayesian Analysis

Martin, Andrew D. · Deep Blue (University of Michigan) · 2015

This article surveys modern Bayesian methods of estimating statistical models.It first provides an introduction to the Bayesian approach for statistical inference, contrasting it with more conventional approaches.It then explains the Monte Carlo principle and reviews commonly used Markov Chain Monte Carlo (MCMC) methods.This is followed by a practical justification for the use of Bayesian methods in the social sciences, and a number of examples from the literature where Bayesian methods have proven useful are shown.The article finally provides a review of modern software for Bayesian inference, and a discussion of the future of Bayesian methods in political science.One area ripe for research is the use of prior information in statistical analyses.Mixture models and those with discrete parameters (such as change point models in the time-series context) are completely underutilized in political science.

Cited by 0Open access

Bayesian Analysis

Directory of Open Access Journals (EBSCO) · 2022

Cited by 0Open access

Bayesian Analysis

Andrew D. Martin · Oxford University Press eBooks · 2009

Abstract This article surveys modern Bayesian methods of estimating statistical models. It first provides an introduction to the Bayesian approach for statistical inference, contrasting it with more conventional approaches. It then explains the Monte Carlo principle and reviews commonly used Markov Chain Monte Carlo (MCMC) methods. This is followed by a practical justification for the use of Bayesian methods in the social sciences, and a number of examples from the literature where Bayesian methods have proven useful are shown. The article finally provides a review of modern software for Bayesian inference, and a discussion of the future of Bayesian methods in political science. One area ripe for research is the use of prior information in statistical analyses. Mixture models and those with discrete parameters (such as change point models in the time-series context) are completely underutilized in political science.

Cited by 15

Bayesian analysis.

Jason Grossman, Mahesh Parmar · Journal of Epidemiology & Community Health · 1999

EDITOR,-I read with interest the recent article detailing changes to the format of the SF-36. 1 The authors present data regarding the psychometric properties and epidemiological characteristics of the SF-36 version 2. The authors present the results from a large data sample of people aged 18-64. The analysis reveals that the questionnaire has good internal consistency and construct validity. The layout of the new questionnaire is certainly improved and in this respect I think that participants will find it easier to complete. However, I believe that many of the problems that were inherent in the original version have not been resolved. The validity and reliability of the questionnaire relies in part upon users completing it accurately. Any change in the questionnaire's format should be designed to improve the accuracy of users responses, which will in turn improve the psychometric qualities of the questionnaire.

Cited by 0Open access

Bayesian Analysis

Rebecca Blank · Elsevier eBooks · 2013

Cited by 0

Bayesian Analysis

Babak Shahbaba · 2011

Cited by 0

Bayesian Analysis

CARLIN B., MIRA, ANTONIETTA · IrInSubria (University of Insubria) · 2009

Cited by 0

Bayesian Analysis.

Margarida D. Duarte (392256), Ana Margarida Henriques (392257), Sílvia Carla Barros (392258) et al. · Figshare · 2015

Bayesian analysis of the vp2 complete nucleotide sequences from one mongoose and one stone marten obtained during this study and other wild carnivore parvoviruses available in Genbank (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0059399#pone.0059399.s001" target="_blank">Table S1</a>). A phylogenetic tree was obtained with a Bayesian inference of phylogeny throughout the MrBayes v3.1.2 software, using the GTR model (nst = 6) with gamma-shaped rate variation with a proportion of invariable sites (rates = invgamma). The analysis was performed with ngen = 106, nchains = 4 and samplefreq = 10. The numbers included on each boot strap represent the Bayesian posterior probability.

Cited by 0Open access