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- Probability for Statistics and Machine Learning

- Author : Anirban DasGupta
- Publsiher : Springer Science & Business Media
- Release : 17 May 2011
- ISBN : 9781441996343
- Pages : 784 pages
- Rating : /5 from reviews

GET THIS BOOKProbability for Statistics and Machine Learning

Download or read book entitled *Probability for Statistics and Machine Learning* by author: *Anirban DasGupta* which was release on *17 May 2011* and published by *Springer Science & Business Media* with total page 784 pages . This book available in PDF, EPUB and Kindle Format. 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. 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.

- Author : Anirban DasGupta
- Publisher : Springer Science & Business Media
- Release Date : 2011-05-17
- Total pages : 784
- ISBN : 9781441996343

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**Summary :** 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 ...

- Author : Vijay K. Rohatgi,A. K. Md. Ehsanes Saleh
- Publisher : John Wiley & Sons
- Release Date : 2011-09-15
- Total pages : 744
- ISBN : 9781441996343

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**Summary :** The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material....

- Author : Leon J. Gleser,Michael D. Perlman,S. James Press,Allan R. Sampson
- Publisher : Springer Science & Business Media
- Release Date : 2012-12-06
- Total pages : 505
- ISBN : 9781441996343

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**Summary :** Published in honor of the sixty-fifth birthday of Professor Ingram Olkin of Stanford University. Part I contains a brief biography of Professor Olkin and an interview with him discussing his career and his research interests. Part II contains 32 technical papers written in Professor Olkin's honor by his collaborators, colleagues, and ...

- Author : Ronald Deep
- Publisher : Academic Press
- Release Date : 2006
- Total pages : 686
- ISBN : 9781441996343

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**Summary :** Probability & Statistics with Integrated Software Routines is a calculus-based treatment of probability concurrent with and integrated with statistics through interactive, tailored software applications designed to enhance the phenomena of probability and statistics. The software programs make the book unique. The book comes with a CD containing the interactive software leading ...

- Author : Narayan C Giri
- Publisher : Routledge
- Release Date : 2018-10-31
- Total pages : 560
- ISBN : 9781441996343

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**Summary :** Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statist...

- Author : Michael J. Evans,Jeffrey S. Rosenthal
- Publisher : Macmillan
- Release Date : 2004
- Total pages : 685
- ISBN : 9781441996343

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**Summary :** Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* ...

- Author : Mario Lefebvre
- Publisher : Springer Science & Business Media
- Release Date : 2007-04-03
- Total pages : 358
- ISBN : 9781441996343

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**Summary :** This book moves systematically through the topic of applied probability from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Each chapter concludes with many original, ...

- Author : John Tabak
- Publisher : Infobase Publishing
- Release Date : 2009-01-01
- Total pages : 241
- ISBN : 9781441996343

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**Summary :** Presents a survey of the history and evolution of the branch of mathematics that focuses on probability and statistics, including useful applications and notable mathematicians in this area....

- Author : Arak M. Mathai,Hans J. Haubold
- Publisher : Walter de Gruyter GmbH & Co KG
- Release Date : 2017-12-18
- Total pages : 604
- ISBN : 9781441996343

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**Summary :** This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also covers applied topics such as model building and experiment design. ...

- Author : Leonard Asimow, Ph.D., ASA,Mark Maxwell, Ph.D., ASA
- Publisher : ACTEX Publications
- Release Date : 2015-06-30
- Total pages : 600
- ISBN : 9781441996343

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**Summary :** This text is listed on the Course of Reading for SOA Exam P. Probability and Statistics with Applications is an introductory textbook designed to make the subject accessible to college freshmen and sophomores concurrent with Calc II and III, with a prerequisite of just one smester of calculus. It is ...

- Author : Milan Holický
- Publisher : Springer Science & Business Media
- Release Date : 2013-08-04
- Total pages : 181
- ISBN : 9781441996343

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**Summary :** The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory ...

- Author : Morris H. DeGroot,Mark J. Schervish
- Publisher : Pearson College Division
- Release Date : 2012
- Total pages : 893
- ISBN : 9781441996343

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**Summary :** The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, ...

- Author : Sheldon M. Ross
- Publisher : Academic Press
- Release Date : 2014-08-14
- Total pages : 686
- ISBN : 9781441996343

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**Summary :** Introduction to Probability and Statistics for Engineers and Scientists provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing ...

- Author : Yuri Suhov,Michael Kelbert,Mark Kelbert
- Publisher : Cambridge University Press
- Release Date : 2005-10-13
- Total pages : 372
- ISBN : 9781441996343

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**Summary :** This subject is critical in many modern applications such as mathematical finance, quantitative management, telecommunications, signal processing, bioinformatics, as well as traditional ones such as insurance, social science and engineering. The authors have rectified deficiencies in traditional lecture-based methods by collecting together a wealth of exercises for which they have ...

- Author : Yuri Suhov,Mark Kelbert
- Publisher : Cambridge University Press
- Release Date : 2008-04-24
- Total pages : 487
- ISBN : 9781441996343

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**Summary :** The subject is critical in many modern applications such as mathematical finance, quantitative management, insurance and actuarial studies....