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Foundations of Bayesian Statistics for Data Scientists : With R and Python
Foundations of Bayesian Statistics for Data Scientists : With R and Python
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Author(s): Agresti, Alan
Grove, Ranjini
Kateri, Maria
ISBN No.: 9781041202912
Pages: 456
Year: 202606
Format: Trade Cloth (Hard Cover)
Price: $ 280.00
Dispatch delay: Dispatched between 7 to 15 days
Status: Available (Forthcoming)

Alan Agresti , Distinguished Professor Emeritus at the University of Florida, is the author of seven books, and has presented short courses in 35 countries. His awards include an honorary doctorate from De Montfort University (UK) and Statistician of the Year from the American Statistical Association (Chicago chapter). Maria Kateri , Professor of Statistics and Data Science at the RWTH Aachen University. She has long-term experience in teaching statistics courses to students of Data Science, Mathematics, Statistics, Computer Science, Business Administration, and Engineering. Ranjini Grove is an Associate Teaching Professor in the Department of Statistics at the University of Washington. Since receiving her doctoral degree at Cornell University, she has also held faculty appointments at Brown University and at the University of Florida. In 2022 she was a finalist for a distinguished teaching award at the University of Washington. Since taking a break from academia to be a stay-at-home mom, she has been devoting much energy towards creating an inclusive, learner-centered, and engaging classroom.


Antonietta Mira is a Professor of Statistics at the Università della Svizzera italiana and Insubria University. She is a Fellow of both the International Society for Bayesian Analysis and the Institute of Mathematical Statistics, elected member of the International Statistical Institute, and a recipient of the Savage Award for outstanding doctoral dissertations in Bayesian econometrics and statistics. Her research focuses on Bayesian learning and computing, with a strong interdisciplinary approach. She is also passionate about science communication through books, exhibitions, and mathematical magic conference shows.


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