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EBookClubs

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Book Prior Processes and Their Applications

Download or read book Prior Processes and Their Applications written by Eswar G. Phadia and published by Springer. This book was released on 2016-07-27 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic and comprehensive treatment of various prior processes that have been developed over the past four decades for dealing with Bayesian approach to solving selected nonparametric inference problems. This revised edition has been substantially expanded to reflect the current interest in this area. After an overview of different prior processes, it examines the now pre-eminent Dirichlet process and its variants including hierarchical processes, then addresses new processes such as dependent Dirichlet, local Dirichlet, time-varying and spatial processes, all of which exploit the countable mixture representation of the Dirichlet process. It subsequently discusses various neutral to right type processes, including gamma and extended gamma, beta and beta-Stacy processes, and then describes the Chinese Restaurant, Indian Buffet and infinite gamma-Poisson processes, which prove to be very useful in areas such as machine learning, information retrieval and featural modeling. Tailfree and Polya tree and their extensions form a separate chapter, while the last two chapters present the Bayesian solutions to certain estimation problems pertaining to the distribution function and its functional based on complete data as well as right censored data. Because of the conjugacy property of some of these processes, most solutions are presented in closed form. However, the current interest in modeling and treating large-scale and complex data also poses a problem – the posterior distribution, which is essential to Bayesian analysis, is invariably not in a closed form, making it necessary to resort to simulation. Accordingly, the book also introduces several computational procedures, such as the Gibbs sampler, Blocked Gibbs sampler and slice sampling, highlighting essential steps of algorithms while discussing specific models. In addition, it features crucial steps of proofs and derivations, explains the relationships between different processes and provides further clarifications to promote a deeper understanding. Lastly, it includes a comprehensive list of references, equipping readers to explore further on their own.

Book Bayesian Nonparametrics

    Book Details:
  • Author : J.K. Ghosh
  • Publisher : Springer Science & Business Media
  • Release : 2006-05-11
  • ISBN : 0387226540
  • Pages : 311 pages

Download or read book Bayesian Nonparametrics written by J.K. Ghosh and published by Springer Science & Business Media. This book was released on 2006-05-11 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first systematic treatment of Bayesian nonparametric methods and the theory behind them. It will also appeal to statisticians in general. The book is primarily aimed at graduate students and can be used as the text for a graduate course in Bayesian non-parametrics.

Book Bayesian Data Analysis  Third Edition

Download or read book Bayesian Data Analysis Third Edition written by Andrew Gelman and published by CRC Press. This book was released on 2013-11-01 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Book Bayesian Nonparametrics

    Book Details:
  • Author : Nils Lid Hjort
  • Publisher : Cambridge University Press
  • Release : 2010-04-12
  • ISBN : 1139484605
  • Pages : 309 pages

Download or read book Bayesian Nonparametrics written by Nils Lid Hjort and published by Cambridge University Press. This book was released on 2010-04-12 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. All that is needed is an entry point: this intelligent book is the perfect guide to what can seem a forbidding landscape. Tutorial chapters by Ghosal, Lijoi and Prünster, Teh and Jordan, and Dunson advance from theory, to basic models and hierarchical modeling, to applications and implementation, particularly in computer science and biostatistics. These are complemented by companion chapters by the editors and Griffin and Quintana, providing additional models, examining computational issues, identifying future growth areas, and giving links to related topics. This coherent text gives ready access both to underlying principles and to state-of-the-art practice. Specific examples are drawn from information retrieval, NLP, machine vision, computational biology, biostatistics, and bioinformatics.

Book Alternatives in Assessment of Achievements  Learning Processes and Prior Knowledge

Download or read book Alternatives in Assessment of Achievements Learning Processes and Prior Knowledge written by Menucha Birenbaum and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Achievement assessment has undergone a major shift, from what some call a `culture of testing' to a `culture of assessment'. Nowadays, a strong emphasis is placed on the integration of assessment and instruction, on assessing processes rather than just products, and on evaluating individual progress relative to each student's starting point. This book addresses assessment issues in light of the present state of affairs. The first part discusses new alternatives in the assessment of achievement in various subject areas, focusing on agenda, practice, impact and evaluation of the assessment. The second part deals with issues related to assessment of the learning process, specifically: questions concerning the assessment of individual differences in prior knowledge, learning skills and strategies.

Book United States Compiled Statutes  Annotated  1916

Download or read book United States Compiled Statutes Annotated 1916 written by United States and published by . This book was released on 1917 with total page 1610 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Electrical Installation Record

Download or read book Electrical Installation Record written by and published by . This book was released on 1919 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Transcript of Record

Download or read book Transcript of Record written by and published by . This book was released on 1915 with total page 958 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Decennial Edition of the American Digest

Download or read book Decennial Edition of the American Digest written by and published by . This book was released on 1910 with total page 1848 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Federal Reporter

Download or read book The Federal Reporter written by and published by . This book was released on 1928 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Probability and Bayesian Modeling

Download or read book Probability and Bayesian Modeling written by Jim Albert and published by CRC Press. This book was released on 2019-12-06 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.

Book United States Circuit Courts of Appeals Reports

Download or read book United States Circuit Courts of Appeals Reports written by and published by . This book was released on 1899 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Journal of Industrial and Engineering Chemistry

Download or read book The Journal of Industrial and Engineering Chemistry written by and published by . This book was released on 1915 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: