Bayes Rules!: An Introduction to Applied Bayesian Modeling

Johnson, Alicia A./ Ott, Miles Q./ Dogucu, Mine

ISBN 10: 1032191597 / ISBN 13: 9781032191591

Edité par Chapman & Hall, 2022

A propos de cet article

552 pages. 10.00x7.00x1.22 inches. In Stock.

N° de réf. du vendeur x-1032191597

Détails bibliographiques

• Titre: Bayes Rules!: An Introduction to Applied Bayesian Modeling
• Éditeur: Chapman & Hall
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 1032191597
• ISBN à 13 chiffres: 9781032191591
• Reliure: Hardcover
• État de l'article: Brand New

A propos de ce titre

Synopsis

This book brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, it is an ideal resource for advanced undergraduate statistics students and practitioners with comparable experience. It empowers readers to weave Bayesian approaches into their everyday practice.

À propos de l?auteur

Alicia Johnson is an Associate Professor of Statistics at Macalester College in Saint Paul, Minnesota. She enjoys exploring and connecting students to Bayesian analysis, computational statistics, and the power of data in contributing to this shared world of ours.

Miles Ott is a Senior Data Scientist at The Janssen Pharmaceutical Companies of Johnson & Johnson. Prior to his current position, he taught at Carleton College, Augsburg University, and Smith College. He is interested in biostatistics, LGBTQ+ health research, analysis of social network data, and statistics/data science education. He blogs at milesott.com and tweets about statistics, gardening, and his dogs on Twitter.

Mine Dogucu is an Assistant Professor of Teaching in the Department of Statistics at University of California Irvine. She spends majority of her time thinking about what to teach, how to teach it, and what tools to use while teaching. She likes intersectional feminism, cats, and R Ladies. She tweets about statistics and data science education on Twitter.