یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
"Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying mathematical theory. The book starts with a refresher of the Bayesian Inference concepts. The second chapter introduces modern methods for Exploratory Analysis of Bayesian Models. With an understanding of these two fundamentals the subsequent chapters talk through various models including linear regressions, splines, time series, Bayesian additive regression trees. The final chapters include Approximate Bayesian Computation, end to end case studies showing how to apply Bayesian modelling in different settings, and a chapter about the internals of probabilistic programming languages. Finally the last chapter serves as a reference for the rest of the book by getting closer into mathematical aspects or by extending the discussion of certain topics. This book is written by contributors of PyMC3, ArviZ, Bambi, and Tensorflow Probability among other libraries"--
یادداشتهای مربوط به نوع منابع الکترونیکی
متن يادداشت
pdf file.
موضوع (اسم عام یاعبارت اسمی عام)
عنصر شناسه ای
Bayesian statistical decision theory.
عنصر شناسه ای
Python (Computer program language)
عنصر شناسه ای
Mathematical statistics.
رده بندی ديویی
ويراست
23
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
عنصر شناسه اي
Martin, Osvaldo,
نام شخص - (مسئولیت معنوی برابر )
مستند نام اشخاص تاييد نشده
Kumar, Ravin.
مستند نام اشخاص تاييد نشده
Lao, Junpeng.
مبدا اصلی
کشور
Iran
سازمان
University of Tehran. Library of College of Science