Moving Beyond Non-Informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research

Moving Beyond Non-Informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research
Author :
Publisher : Frontiers Media SA
Total Pages : 197
Release :
ISBN-10 : 9782889742141
ISBN-13 : 2889742148
Rating : 4/5 (41 Downloads)

Book Synopsis Moving Beyond Non-Informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research by : Christoph Koenig

Download or read book Moving Beyond Non-Informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research written by Christoph Koenig and published by Frontiers Media SA. This book was released on 2022-02-01 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Moving Beyond Non-Informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research Related Books

Moving Beyond Non-Informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research
Language: en
Pages: 197
Authors: Christoph Koenig
Categories: Science
Type: BOOK - Published: 2022-02-01 - Publisher: Frontiers Media SA

DOWNLOAD EBOOK

Bayesian Structural Equation Modeling
Language: en
Pages: 549
Authors: Sarah Depaoli
Categories: Social Science
Type: BOOK - Published: 2021-08-16 - Publisher: Guilford Publications

DOWNLOAD EBOOK

This book offers researchers a systematic and accessible introduction to using a Bayesian framework in structural equation modeling (SEM). Stand-alone chapters
Novel Applications of Bayesian and Other Models in Translational Neuroscience
Language: en
Pages: 169
Authors: Reza Rastmanesh
Categories: Science
Type: BOOK - Published: 2024-05-06 - Publisher: Frontiers Media SA

DOWNLOAD EBOOK

It has been proposed that the brain works in a Bayesian manner, and based on the free-energy principle, the brain's main function is to reduce environmental unc
Bayesian Data Analysis, Third Edition
Language: en
Pages: 677
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2013-11-01 - Publisher: CRC Press

DOWNLOAD EBOOK

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzin
Bayesian Structural Equation Modeling
Language: en
Pages: 550
Authors: Sarah Depaoli
Categories: Social Science
Type: BOOK - Published: 2021-07-01 - Publisher: Guilford Publications

DOWNLOAD EBOOK

This book offers researchers a systematic and accessible introduction to using a Bayesian framework in structural equation modeling (SEM). Stand-alone chapters