Probability for Statistics and Machine Learning : (Record no. 7234)

MARC details
000 -LEADER
fixed length control field 01823 a2200193 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114155429.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241224b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781461428848
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.2
Item number DasP
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name DasGupta, Anirban
245 ## - TITLE STATEMENT
Title Probability for Statistics and Machine Learning :
Remainder of title Fundamentals and advanced topics /
Statement of responsibility, etc Anirban DasGupta
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication New York :
Name of publisher Springer,
Year of publication ©2011.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xix, 782 p
520 ## - SUMMARY, ETC.
Summary, etc This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in its unification of probability and statistics, its coverage and its superb exercise sets, detailed bibliography, and in its substantive treatment of many topics of current importance.<br/><br/>This book can be used as a text for a year long graduate course in statistics, computer science, or mathematics, for self-study, and as an invaluable research reference on probabiliity and its applications. Particularly worth mentioning are the treatments of distribution theory, asymptotics, simulation and Markov Chain Monte Carlo, Markov chains and martingales, Gaussian processes, VC theory, probability metrics, large deviations, bootstrap, the EM algorithm, confidence intervals, maximum likelihood and Bayes estimates, exponential families, kernels, and Hilbert spaces, and a self contained complete review of univariate probability.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Probabilities
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical models
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Collection code Home library Current library Shelving location Date acquired Source of acquisition Purchase Price Bill number Full call number Accession Number Copy number Print Price Bill Date/Price effective from Koha item type
      Mathematics Indian Institute of Technology Tirupati Indian Institute of Technology Tirupati General Stacks 15/09/2025 Capital Books Pvt. Ltd. 9245.80 395/25-26 519.2 DasP (11644) 11644 Copy 01 13208.28 15/09/2025 Books