Catholic University of Zimbabwe Library
Online Public Access Catalogue
(OPAC)

Think Bayes (Record no. 19688)

MARC details
000 -LEADER
fixed length control field 02439nam a2200349 4500
001 - CONTROL NUMBER
control field OTLid0000288
003 - CONTROL NUMBER IDENTIFIER
control field MnU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20201105133313.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d s
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180907s2012 mnu o 0 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781449370787
040 ## - CATALOGING SOURCE
Original cataloging agency MnU
Language of cataloging eng
Transcribing agency MnU
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Downey, Allen B.
Relator term author
245 00 - TITLE STATEMENT
Title Think Bayes
Remainder of title Bayesian Statistics Made Simple
Statement of responsibility, etc. Allen Downey
264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Open Textbook Library
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Green Tea Press
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
490 0# - SERIES STATEMENT
Series statement Open textbook library.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Preface -- 1 Bayes's Theorem -- 2 Computational Statistics -- 3 Estimation -- 4 More Estimation -- 5 Odds and Addends -- 6 Decision Analysis -- 7 Prediction -- 8 Observer Bias -- 9 Two Dimensions -- 10 Approximate Bayesian Computation -- 11 Hypothesis Testing -- 12 Evidence -- 13 Simulation -- 14 A Hierarchical Model -- 15 Dealing with Dimensions
520 0# - SUMMARY, ETC.
Summary, etc. Think Bayes is an introduction to Bayesian statistics using computational methods. The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics. Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops. I think this presentation is easier to understand, at least for people with programming skills. It is also more general, because when we make modeling decisions, we can choose the most appropriate model without worrying too much about whether the model lends itself to conventional analysis. Also, it provides a smooth development path from simple examples to real-world problems.
542 1# - INFORMATION RELATING TO COPYRIGHT STATUS
Copyright statement Attribution-NonCommercial
546 ## - LANGUAGE NOTE
Language note In English.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on online resource
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science
Form subdivision Textbooks
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Open Textbook Library
Relator term distributor
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://open.umn.edu/opentextbooks/textbooks/288">https://open.umn.edu/opentextbooks/textbooks/288</a>
Public note Access online version
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Shelving location Date acquired Total Checkouts Full call number Date last seen Uniform Resource Identifier Price effective from Koha item type
          Digital Library Online Access 05.11.2020   QA76 05.11.2020 https://open.umn.edu/opentextbooks/textbooks/288 05.11.2020 eBook

OPENING HOURS

Weekdays: 0815hrs - 1800hrs
Weekends:0900hrs - 1200hrs

Closed for Mass:

Mon, Thur: 1200hrs - 1300hrs
Sunday & Public Holiday’s

CALL SUPPORT

0242-570570, 0242-570169
09200664, +263 8644140602

LOCATION

18443, Cranborne Avenue, Hatfield, Harare

Other Links


©2021 | CUZ Library