Causal inference in statistics : (Record no. 9964)

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control field 017745501
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005 - DATE AND TIME OF LATEST TRANSACTION
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 160210s2016 nju ob 001|0|eng|d
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBB624874
Source bnb
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781119186847 (pbk.) :
Terms of availability $49.95
037 ## - SOURCE OF ACQUISITION
Stock number 9781119186861
Source of stock number/acquisition Wiley
040 ## - CATALOGING SOURCE
Original cataloging agency StDuBDS
Language of cataloging eng
Transcribing agency IISERB
Modifying agency Uk
Description conventions rda
-- pn
042 ## - AUTHENTICATION CODE
Authentication code ukblsr
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.54 P316C
Edition number 23
100 10 - MAIN ENTRY--PERSONAL NAME
Personal name Pearl, Judea.
9 (RLIN) 28984
245 10 - TITLE STATEMENT
Title Causal inference in statistics :
Remainder of title a primer
Statement of responsibility, etc Judea Pearl, Madelyn Glymour, Nicholas Jewell.
250 ## - EDITION STATEMENT
Edition statement 1st
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc The Atrium:
Name of publisher, distributor, etc John Wiley & Sons,
Date of publication, distribution, etc 2016.
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 136p.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note <p>About the Authors ix</p> <p>Preface xi</p> <p>List of Figures xv</p> <p>About the Companion Website xix</p> <p><b>1 Preliminaries: Statistical and Causal Models 1</b></p> <p>1.1 Why Study Causation 1</p> <p>1.2 Simpson’s Paradox 1</p> <p>1.3 Probability and Statistics 7</p> <p>1.3.1 Variables 7</p> <p>1.3.2 Events 8</p> <p>1.3.3 Conditional Probability 8</p> <p>1.3.4 Independence 10</p> <p>1.3.5 Probability Distributions 11</p> <p>1.3.6 The Law of Total Probability 11</p> <p>1.3.7 Using Bayes’ Rule 13</p> <p>1.3.8 Expected Values 16</p> <p>1.3.9 Variance and Covariance 17</p> <p>1.3.10 Regression 20</p> <p>1.3.11 Multiple Regression 22</p> <p>1.4 Graphs 24</p> <p>1.5 Structural Causal Models 26</p> <p>1.5.1 Modeling Causal Assumptions 26</p> <p>1.5.2 Product Decomposition 29</p> <p><b>2 Graphical Models and Their Applications 35</b></p> <p>2.1 Connecting Models to Data 35</p> <p>2.2 Chains and Forks 35</p> <p>2.3 Colliders 40</p> <p>2.4 <i>d</i>-separation 45</p> <p>2.5 Model Testing and Causal Search 48</p> <p><b>3 The Effects of Interventions 53</b></p> <p>3.1 Interventions 53</p> <p>3.2 The Adjustment Formula 55</p> <p>3.2.1 To Adjust or not to Adjust? 58</p> <p>3.2.2 Multiple Interventions and the Truncated Product Rule 60</p> <p>3.3 The Backdoor Criterion 61</p> <p>3.4 The Front-Door Criterion 66</p> <p>3.5 Conditional Interventions and Covariate-Specific Effects 70</p> <p>3.6 Inverse Probability Weighing 72</p> <p>3.7 Mediation 75</p> <p>3.8 Causal Inference in Linear Systems 78</p> <p>3.8.1 Structural versus Regression Coefficients 80</p> <p>3.8.2 The Causal Interpretation of Structural Coefficients 81</p> <p>3.8.3 Identifying Structural Coefficients and Causal Effect 83</p> <p>3.8.4 Mediation in Linear Systems 87</p> <p><b>4 Counterfactuals and Their Applications 89</b></p> <p>4.1 Counterfactuals 89</p> <p>4.2 Defining and Computing Counterfactuals 91</p> <p>4.2.1 The Structural Interpretation of Counterfactuals 91</p> <p>4.2.2 The Fundamental Law of Counterfactuals 93</p> <p>4.2.3 From Population Data to Individual Behavior – An Illustration 94</p> <p>4.2.4 The Three Steps in Computing Counterfactuals 96</p> <p>4.3 Nondeterministic Counterfactuals 98</p> <p>4.3.1 Probabilities of Counterfactuals 98</p> <p>4.3.2 The Graphical Representation of Counterfactuals 101</p> <p>4.3.3 Counterfactuals in Experimental Settings 103</p> <p>4.3.4 Counterfactuals in Linear Models 106</p> <p>4.4 Practical Uses of Counterfactuals 107</p> <p>4.4.1 Recruitment to a Program 107</p> <p>4.4.2 Additive Interventions 109</p> <p>4.4.3 Personal Decision Making 111</p> <p>4.4.4 Sex Discrimination in Hiring 113</p> <p>4.4.5 Mediation and Path-disabling Interventions 114</p> <p>4.5 Mathematical Tool Kits for Attribution and Mediation 116</p> <p>4.5.1 A Tool Kit for Attribution and Probabilities of Causation 116</p> <p>4.5.2 A Tool Kit for Mediation 120</p> <p>References 127</p> <p>Index 133</p>
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics.
9 (RLIN) 28985
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Inference.
9 (RLIN) 28986
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Causation.
9 (RLIN) 28987
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probabilities.
9 (RLIN) 28988
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Glymour, Madelyn,
Relator term author.
9 (RLIN) 28989
700 10 - ADDED ENTRY--PERSONAL NAME
Personal name Jewell, Nicholas P.
Relator term author.
9 (RLIN) 28990
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version :
International Standard Book Number 9781119186847
903 ## - LOCAL DATA ELEMENT C, LDC (RLIN)
a ELD.DS.54139
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type Public note
    Dewey Decimal Classification   Not For Loan Reference Central Library, IISER Bhopal Central Library, IISER Bhopal Reference Section 09/03/2023 1 2764.00   519.54 P316C 11172 09/03/2023 4137.86 09/03/2023 Books Reserve



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