没有合适的资源?快使用搜索试试~ 我知道了~
Doing Bayesian Data Analysis, Second Edition: A Tutorial with R,...
5星 · 超过95%的资源 需积分: 15 21 下载量 165 浏览量
2019-04-24
14:26:05
上传
评论 2
收藏 28.89MB PDF 举报
温馨提示
试读
769页
第二版.作者: John Kruschke 出版社: Academic Press 副标题: A Tutorial with R, JAGS, and Stan
资源推荐
资源详情
资源评论
Doing Bayesian
Data Analysis
A Tutorial with R, JAGS,
and Stan
EDITION
2
JOHN K. KRUSCHKE
Dept. of Psychological and Brain Sciences
Indiana University, Bloomington
AMSTERDAM • BOSTON • HEIDELBERG • LONDON
NEW YORK • OXFORD • PARIS • SAN DIEGO
SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO
Academic Press is an imprint of Elsevier
Academic Press is an imprint of Elsevier
32 Jamestown Road, London NWI 7BY, UK
525 B Street, Suite 1800, San Diego, CA 92101-4495, USA
225 Wyman Street, Waltham, MA 02451, USA
The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, UK
Copyright © 2015, 2011 Elsevier Inc. All rights reserved.
No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical,
including photocopying, recording, or any information storage and retrieval system, without permission in writing from
the publisher. Details on how to seek permission, further information about the Publishers permissions policies and our
arrangement with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be
found at our website: www.elsevier.com/permissions.
This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as
may be noted herein).
Notices
Knowledge and best practice in this eld are constantly changing. As new research and experience broaden our
understanding, changes in research methods, professional practices, or medical treatment may become necessary.
Practitioners and researchers must always rely on their own experience and knowledge in evaluating and using any
information, methods, compounds, or experiments described herein. In using such information or methods they should
be mindful of their own safety and the safety of others, including parties for whom they have a professional responsibility.
To the fullest extent of the law, neither the Publisher nor the authors, contributors, or editors, assume any liability for
any injury and/or damage to persons or property as a matter of products liability, negligence or otherwise, or from any
use or operation of any methods, products, instructions, or ideas contained in the material herein.
ISBN: 978-0-12-405888-0
Library of Congress Cataloging-in-Publication Data
Kruschke, John K.
Doing Bayesian data analysis : a tutorial with R, JAGS, and Stan / John K. Kruschke. – 2E [edition].
pages cm
Includes bibliographical references.
ISBN 978-0-12-405888-0
1. Bayesian statistical decision theory. 2. R (Computer program language) I. Title.
QA279.5.K79 2014
519.5
42–dc23
2014011293
British Library Cataloguing in Publication Data
A catalogue record for this book is available from the British Library
For information on all Academic Press publications
visit our website at store.elsevier.com
Dedicated to my mother, Marilyn A. Kruschke,
and to the memory of my father, Earl R. Kruschke,
both of whom brilliantly exemplied and taught sound reasoning.
And, in honor of my father,
who dedicated his rst book to his children,
I also dedicate this book to mine:
Claire A. Kruschke and Loren D. Kruschke.
CONTENTS
1. What’s in This Book (Read This First!) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.1 RealPeopleCanReadThisBook.................................................. 1
1.2 What’sinThisBook.............................................................. 3
1.3 What’sNewintheSecondEdition?............................................... 6
1.4 GimmeFeedback(BePolite)...................................................... 8
1.5 ThankYou!..................................................................... 8
PARTI TheBasics:Models,Probability,Bayes’Rule,andR........... 13
2. Introduction:Credibility,Models,andParameters............................. 15
2.1 Bayesian Inference Is Reallocation of Credibility Across Possibilities . ................... 16
2.2 PossibilitiesAreParameterValuesinDescriptiveModels............................. 22
2.3 TheStepsofBayesianDataAnalysis............................................... 25
2.4 Exercises....................................................................... 31
3. TheRProgrammingLanguage............................................... 33
3.1 GettheSoftware................................................................ 35
3.2 ASimpleExampleofRinAction.................................................. 36
3.3 BasicCommandsandOperatorsinR.............................................. 38
3.4 VariableTypes.................................................................. 42
3.5 LoadingandSavingData........................................................ 53
3.6 SomeUtilityFunctions........................................................... 56
3.7 ProgramminginR............................................................... 61
3.8 GraphicalPlots:OpeningandSaving.............................................. 69
3.9 Conclusion..................................................................... 69
3.10 Exercises....................................................................... 70
4. WhatIsThisStuCalledProbability?......................................... 71
4.1 TheSetofAllPossibleEvents..................................................... 72
4.2 Probability:OutsideorInsidetheHead............................................ 73
4.3 ProbabilityDistributions......................................................... 78
4.4 Two-WayDistributions........................................................... 89
4.5 Appendix:RCodeforFigure4.1................................................... 93
4.6 Exercises....................................................................... 95
vii
剩余768页未读,继续阅读
资源评论
- taotaogou2020-05-07确实是第二版,非常清晰,彩色的,推荐!
chenyu2010550221
- 粉丝: 5
- 资源: 11
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功