Bayesian Design

New Statistics for Design Researchers: A Bayesian Workflow in Tidy R  eBooks & eLearning

Posted by AvaxGenius at July 13, 2021
New Statistics for Design Researchers: A Bayesian Workflow in Tidy R

New Statistics for Design Researchers: A Bayesian Workflow in Tidy R by Martin Schmettow
English | PDF,EPUB | 2021 | 475 Pages | ISBN : 3030463796 | 35.9 MB

Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations.

Bayesian Adaptive Design for Immunotherapy and Targeted Therapy  eBooks & eLearning

Posted by AvaxGenius at April 21, 2023
Bayesian Adaptive Design for Immunotherapy and Targeted Therapy

Bayesian Adaptive Design for Immunotherapy and Targeted Therapy by Haitao Pan , Ying Yuan
English | PDF,EPUB | 2023 | 267 Pages | ISBN : 9811981744 | 30.4 MB

This book provides a comprehensive review of novel adaptive trial designs for targeted therapies and immunotherapies. This book covers a wide range of novel statistical designs for various clinical settings, including early phase dose-escalation study, proof-of-concept trials, and confirmatory studies with registrational. The book includes real-life examples and software to facilitate practitioners to learn and use the designs in practice.

Bayesian Filter Design for Computational Medicine  eBooks & eLearning

Posted by hill0 at March 30, 2024
Bayesian Filter Design for Computational Medicine

Bayesian Filter Design for Computational Medicine: A State-Space Estimation Framework
English | 2024 | ISBN: 3031471032 | 243 Pages | PDF EPUB (True) | 44 MB
Bayesian Analysis with Python: A Practical Guide to Probabilistic Modeling, 3rd Edition [Repost]

Bayesian Analysis with Python: A Practical Guide to Probabilistic Modeling, 3rd Edition by Osvaldo A. Martin
English | January 31, 2024 | ISBN: 1805127160 | True EPUB/PDF | 394 pages | 38.2/37.7 MB
Bayesian Analysis with Python: A Practical Guide to Probabilistic Modeling, 3rd Edition [Repost]

Bayesian Analysis with Python: A Practical Guide to Probabilistic Modeling, 3rd Edition by Osvaldo A. Martin
English | January 31, 2024 | ISBN: 1805127160 | True EPUB/PDF | 394 pages | 38.2/37.7 MB

Bayesian Analysis with Python - Third Edition  eBooks & eLearning

Posted by TiranaDok at Sept. 25, 2024
Bayesian Analysis with Python - Third Edition

Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling by Osvaldo Martin, Christopher Fonnesbeck, Thomas Wiecki
English | January 31, 2024 | ISBN: 1805127160 | 394 pages | PDF, EPUB | 74 Mb
Bayesian Analysis with Python: A Practical Guide to Probabilistic Modeling, 3rd Edition [Repost]

Bayesian Analysis with Python: A Practical Guide to Probabilistic Modeling, 3rd Edition by Osvaldo A. Martin
English | January 31, 2024 | ISBN: 1805127160 | True EPUB/PDF | 394 pages | 38.2/37.7 MB

Bayesian Analysis with Python - Third Edition  eBooks & eLearning

Posted by TiranaDok at Sept. 25, 2024
Bayesian Analysis with Python - Third Edition

Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling by Osvaldo Martin, Christopher Fonnesbeck, Thomas Wiecki
English | January 31, 2024 | ISBN: 1805127160 | 394 pages | PDF, EPUB | 74 Mb
Bayesian Analysis with Python: A Practical Guide to Probabilistic Modeling, 3rd Edition [Repost]

Bayesian Analysis with Python: A Practical Guide to Probabilistic Modeling, 3rd Edition by Osvaldo A. Martin
English | January 31, 2024 | ISBN: 1805127160 | True EPUB/PDF | 394 pages | 38.2/37.7 MB
Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger (Repost)

Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger by Ming-Hui Chen
English | PDF | 2010 | 645 Pages | ISBN : 1441969438 | 8.1 MB

Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers.