Case Studies in Applied Bayesian Data Science

Case Studies in Applied Bayesian Data Science
Author :
Publisher : Springer Nature
Total Pages : 415
Release :
ISBN-10 : 9783030425531
ISBN-13 : 3030425533
Rating : 4/5 (533 Downloads)

Book Synopsis Case Studies in Applied Bayesian Data Science by : Kerrie L. Mengersen

Download or read book Case Studies in Applied Bayesian Data Science written by Kerrie L. Mengersen and published by Springer Nature. This book was released on 2020-05-28 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting Jean-Morlet Chair and Pierre Pudlo as the local Research Professor. The field of Bayesian statistics has exploded over the past thirty years and is now an established field of research in mathematical statistics and computer science, a key component of data science, and an underpinning methodology in many domains of science, business and social science. Moreover, while remaining naturally entwined, the three arms of Bayesian statistics, namely modelling, computation and inference, have grown into independent research fields. While the research arms of Bayesian statistics continue to grow in many directions, they are harnessed when attention turns to solving substantive applied problems. Each such problem set has its own challenges and hence draws from the suite of research a bespoke solution. The book will be useful for both theoretical and applied statisticians, as well as practitioners, to inspect these solutions in the context of the problems, in order to draw further understanding, awareness and inspiration.


Case Studies in Applied Bayesian Data Science Related Books

Case Studies in Applied Bayesian Data Science
Language: en
Pages: 415
Authors: Kerrie L. Mengersen
Categories: Mathematics
Type: BOOK - Published: 2020-05-28 - Publisher: Springer Nature

GET EBOOK

Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at C
Case Studies in Bayesian Statistical Modelling and Analysis
Language: en
Pages: 0
Authors: Clair L. Alston
Categories: Mathematics
Type: BOOK - Published: 2012-12-17 - Publisher: John Wiley & Sons

GET EBOOK

Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation,
Bayesian Analysis with R for Drug Development
Language: en
Pages: 251
Authors: Harry Yang
Categories: Mathematics
Type: BOOK - Published: 2019-06-26 - Publisher: CRC Press

GET EBOOK

Drug development is an iterative process. The recent publications of regulatory guidelines further entail a lifecycle approach. Blending data from disparate sou
Complex Data Modeling and Computationally Intensive Statistical Methods
Language: en
Pages: 170
Authors: Pietro Mantovan
Categories: Computers
Type: BOOK - Published: 2011-01-27 - Publisher: Springer Science & Business Media

GET EBOOK

Selected from the conference "S.Co.2009: Complex Data Modeling and Computationally Intensive Methods for Estimation and Prediction," these 20 papers cover the l
Bayesian Data Analysis, Third Edition
Language: en
Pages: 677
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2013-11-01 - Publisher: CRC Press

GET 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