عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
Qualification
(eISBN)
(Number (ISBN
9781003019169
NATIONAL BIBLIOGRAPHY NUMBER
Number
E3999
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Bayesian modeling and computation in Python
General Material Designation
[electronic resources: book]
First Statement of Responsibility
/ Osvaldo A. Martin, Ravin Kumar and Junpeng Lao.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boca Raton
Name of Publisher, Distributor, etc.
: CRC Press
Date of Publication, Distribution, etc.
, 2022.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
SERIES
Series Title
(Texts in statistical science)
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
SUMMARY OR ABSTRACT
Text of Note
"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"--
TYPE OF ELECTRONIC RESOURCE NOTE
Text of Note
pdf file.
TOPICAL NAME USED AS SUBJECT
Entry Element
Bayesian statistical decision theory.
Entry Element
Python (Computer program language)
Entry Element
Mathematical statistics.
DEWEY DECIMAL CLASSIFICATION
Edition
23
PERSONAL NAME - PRIMARY RESPONSIBILITY
Entry Element
Martin, Osvaldo,
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Kumar, Ravin.
Lao, Junpeng.
ORIGINATING SOURCE
Country
Iran
Agency
University of Tehran. Library of College of Science
Date of Transaction
20230520162635.0
Cataloguing Rules (Descriptive Conventions))
rda
ELECTRONIC LOCATION AND ACCESS
Date and Hour of Consultation and Access
UT_SCI_BL_DB_1004315_0001.pdf
e
BL
278840
a
Y
