Bayesian Nonparametrics

Download Bayesian Nonparametrics PDF Online Free

Author :
Publisher : Cambridge University Press
ISBN 13 : 1139484605
Total Pages : 309 pages
Book Rating : 4.1/5 (394 download)

DOWNLOAD NOW!


Book Synopsis Bayesian Nonparametrics by : Nils Lid Hjort

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.

Finite Mixture Models

Download Finite Mixture Models PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 047165406X
Total Pages : 419 pages
Book Rating : 4.4/5 (716 download)

DOWNLOAD NOW!


Book Synopsis Finite Mixture Models by : Geoffrey McLachlan

Download or read book Finite Mixture Models written by Geoffrey McLachlan and published by John Wiley & Sons. This book was released on 2004-03-22 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-to-date, comprehensive account of major issues in finitemixture modeling This volume provides an up-to-date account of the theory andapplications of modeling via finite mixture distributions. With anemphasis on the applications of mixture models in both mainstreamanalysis and other areas such as unsupervised pattern recognition,speech recognition, and medical imaging, the book describes theformulations of the finite mixture approach, details itsmethodology, discusses aspects of its implementation, andillustrates its application in many common statisticalcontexts. Major issues discussed in this book include identifiabilityproblems, actual fitting of finite mixtures through use of the EMalgorithm, properties of the maximum likelihood estimators soobtained, assessment of the number of components to be used in themixture, and the applicability of asymptotic theory in providing abasis for the solutions to some of these problems. The author alsoconsiders how the EM algorithm can be scaled to handle the fittingof mixture models to very large databases, as in data miningapplications. This comprehensive, practical guide: * Provides more than 800 references-40% published since 1995 * Includes an appendix listing available mixture software * Links statistical literature with machine learning and patternrecognition literature * Contains more than 100 helpful graphs, charts, and tables Finite Mixture Models is an important resource for both applied andtheoretical statisticians as well as for researchers in the manyareas in which finite mixture models can be used to analyze data.

Bayesian inference with INLA

Download Bayesian inference with INLA PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1351707205
Total Pages : 330 pages
Book Rating : 4.3/5 (517 download)

DOWNLOAD NOW!


Book Synopsis Bayesian inference with INLA by : Virgilio Gomez-Rubio

Download or read book Bayesian inference with INLA written by Virgilio Gomez-Rubio and published by CRC Press. This book was released on 2020-02-20 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time required by typical Markov chain Monte Carlo (MCMC) methods. INLA focuses on marginal inference on the model parameters of latent Gaussian Markov random fields models and exploits conditional independence properties in the model for computational speed. Bayesian Inference with INLA provides a description of INLA and its associated R package for model fitting. This book describes the underlying methodology as well as how to fit a wide range of models with R. Topics covered include generalized linear mixed-effects models, multilevel models, spatial and spatio-temporal models, smoothing methods, survival analysis, imputation of missing values, and mixture models. Advanced features of the INLA package and how to extend the number of priors and latent models available in the package are discussed. All examples in the book are fully reproducible and datasets and R code are available from the book website. This book will be helpful to researchers from different areas with some background in Bayesian inference that want to apply the INLA method in their work. The examples cover topics on biostatistics, econometrics, education, environmental science, epidemiology, public health, and the social sciences.

Handbook of Bayesian Variable Selection

Download Handbook of Bayesian Variable Selection PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1000510204
Total Pages : 491 pages
Book Rating : 4.0/5 (5 download)

DOWNLOAD NOW!


Book Synopsis Handbook of Bayesian Variable Selection by : Mahlet G. Tadesse

Download or read book Handbook of Bayesian Variable Selection written by Mahlet G. Tadesse and published by CRC Press. This book was released on 2021-12-24 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian variable selection has experienced substantial developments over the past 30 years with the proliferation of large data sets. Identifying relevant variables to include in a model allows simpler interpretation, avoids overfitting and multicollinearity, and can provide insights into the mechanisms underlying an observed phenomenon. Variable selection is especially important when the number of potential predictors is substantially larger than the sample size and sparsity can reasonably be assumed. The Handbook of Bayesian Variable Selection provides a comprehensive review of theoretical, methodological and computational aspects of Bayesian methods for variable selection. The topics covered include spike-and-slab priors, continuous shrinkage priors, Bayes factors, Bayesian model averaging, partitioning methods, as well as variable selection in decision trees and edge selection in graphical models. The handbook targets graduate students and established researchers who seek to understand the latest developments in the field. It also provides a valuable reference for all interested in applying existing methods and/or pursuing methodological extensions. Features: Provides a comprehensive review of methods and applications of Bayesian variable selection. Divided into four parts: Spike-and-Slab Priors; Continuous Shrinkage Priors; Extensions to various Modeling; Other Approaches to Bayesian Variable Selection. Covers theoretical and methodological aspects, as well as worked out examples with R code provided in the online supplement. Includes contributions by experts in the field. Supported by a website with code, data, and other supplementary material

A Mixture Model Approach to Empirical Bayes Testing and Estimation

Download A Mixture Model Approach to Empirical Bayes Testing and Estimation PDF Online Free

Author :
Publisher : Stanford University
ISBN 13 :
Total Pages : 89 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!


Book Synopsis A Mixture Model Approach to Empirical Bayes Testing and Estimation by : Omkar Muralidharan

Download or read book A Mixture Model Approach to Empirical Bayes Testing and Estimation written by Omkar Muralidharan and published by Stanford University. This book was released on 2011 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many modern statistical problems require making similar decisions or estimates for many different entities. For example, we may ask whether each of 10,000 genes is associated with some disease, or try to measure the degree to which each is associated with the disease. As in this example, the entities can often be divided into a vast majority of "null" objects and a small minority of interesting ones. Empirical Bayes is a useful technique for such situations, but finding the right empirical Bayes method for each problem can be difficult. Mixture models, however, provide an easy and effective way to apply empirical Bayes. This thesis motivates mixture models by analyzing a simple high-dimensional problem, and shows their practical use by applying them to detecting single nucleotide polymorphisms.

Advances in Information Retrieval

Download Advances in Information Retrieval PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642009573
Total Pages : 841 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!


Book Synopsis Advances in Information Retrieval by : Mohand Boughanem

Download or read book Advances in Information Retrieval written by Mohand Boughanem and published by Springer Science & Business Media. This book was released on 2009-03-27 with total page 841 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 30th annual European Conference on Information Retrieval Research, ECIR 2009, held in Toulouse, France in April 2009. The 42 revised full papers and 18 revised short papers presented together with the abstracts of 3 invited lectures and 25 poster papers were carefully reviewed and selected from 188 submissions. The papers are organized in topical sections on retrieval model, collaborative IR / filtering, learning, multimedia - metadata, expert search - advertising, evaluation, opinion detection, web IR, representation, clustering / categorization as well as distributed IR.

Advances in Case-Based Reasoning

Download Advances in Case-Based Reasoning PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9783540619550
Total Pages : 548 pages
Book Rating : 4.6/5 (195 download)

DOWNLOAD NOW!


Book Synopsis Advances in Case-Based Reasoning by : Ian Smith

Download or read book Advances in Case-Based Reasoning written by Ian Smith and published by Springer Science & Business Media. This book was released on 1996-10-23 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third European Workshop on Case-Based Reasoning, EWCBR-96, held in Lausanne, Switzerland, in November 1996. Case-based reasoning is an appealing technique for dealing with the knowledge acquisition bottleneck in computer applications; solutions to new problems are found by adapting similar experience from the past, called cases. The 38 revised full papers presented were carefully selected from a broad variety of submissions after a thorough refereeing process. The volume refleats the state of the art in case-based reasoning research and applications.

Mixtures

Download Mixtures PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119998441
Total Pages : 352 pages
Book Rating : 4.1/5 (199 download)

DOWNLOAD NOW!


Book Synopsis Mixtures by : Kerrie L. Mengersen

Download or read book Mixtures written by Kerrie L. Mengersen and published by John Wiley & Sons. This book was released on 2011-05-03 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete. The editors provide a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions along with MCMC computational methods, together with a range of detailed discussions covering the applications of the methods and features chapters from the leading experts on the subject. The applications are drawn from scientific discipline, including biostatistics, computer science, ecology and finance. This area of statistics is important to a range of disciplines, and its methodology attracts interest from researchers in the fields in which it can be applied.

Handbook of Mixture Analysis

Download Handbook of Mixture Analysis PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 0429508867
Total Pages : 489 pages
Book Rating : 4.4/5 (295 download)

DOWNLOAD NOW!


Book Synopsis Handbook of Mixture Analysis by : Sylvia Fruhwirth-Schnatter

Download or read book Handbook of Mixture Analysis written by Sylvia Fruhwirth-Schnatter and published by CRC Press. This book was released on 2019-01-04 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool. They can be applied to a wide range of data: univariate or multivariate, continuous or categorical, cross-sectional, time series, networks, and much more. Mixture analysis is a very active research topic in statistics and machine learning, with new developments in methodology and applications taking place all the time. The Handbook of Mixture Analysis is a very timely publication, presenting a broad overview of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian mixture models, model-based clustering, high-dimensional data, hidden Markov models, and applications in finance, genomics, and astronomy. Features: Provides a comprehensive overview of the methods and applications of mixture modelling and analysis Divided into three parts: Foundations and Methods; Mixture Modelling and Extensions; and Selected Applications Contains many worked examples using real data, together with computational implementation, to illustrate the methods described Includes contributions from the leading researchers in the field The Handbook of Mixture Analysis is targeted at graduate students and young researchers new to the field. It will also be an important reference for anyone working in this field, whether they are developing new methodology, or applying the models to real scientific problems.

Methodological Issues in Psychology and Social Sciences Research

Download Methodological Issues in Psychology and Social Sciences Research PDF Online Free

Author :
Publisher : Frontiers Media SA
ISBN 13 : 2832505783
Total Pages : 180 pages
Book Rating : 4.8/5 (325 download)

DOWNLOAD NOW!


Book Synopsis Methodological Issues in Psychology and Social Sciences Research by : Begoña Espejo

Download or read book Methodological Issues in Psychology and Social Sciences Research written by Begoña Espejo and published by Frontiers Media SA. This book was released on 2023-01-11 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Model-Based Clustering and Classification for Data Science

Download Model-Based Clustering and Classification for Data Science PDF Online Free

Author :
Publisher : Cambridge University Press
ISBN 13 : 1108640591
Total Pages : 447 pages
Book Rating : 4.1/5 (86 download)

DOWNLOAD NOW!


Book Synopsis Model-Based Clustering and Classification for Data Science by : Charles Bouveyron

Download or read book Model-Based Clustering and Classification for Data Science written by Charles Bouveyron and published by Cambridge University Press. This book was released on 2019-07-25 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.

Advances in Intelligent Data Analysis V

Download Advances in Intelligent Data Analysis V PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3540452311
Total Pages : 638 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!


Book Synopsis Advances in Intelligent Data Analysis V by : Michael R. Berthold

Download or read book Advances in Intelligent Data Analysis V written by Michael R. Berthold and published by Springer. This book was released on 2011-03-16 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are glad to present the proceedings of the 5th biennial conference in the Intelligent Data Analysis series. The conference took place in Berlin, Germany, August 28–30, 2003. IDA has by now clearly grown up. Started as a small si- symposium of a larger conference in 1995 in Baden-Baden (Germany) it quickly attractedmoreinterest(bothsubmission-andattendance-wise),andmovedfrom London (1997) to Amsterdam (1999), and two years ago to Lisbon. Submission ratesalongwiththeeverimprovingqualityofpapershaveenabledtheor- nizers to assemble increasingly consistent and high-quality programs. This year we were again overwhelmed by yet another record-breaking submission rate of 180 papers. At the Program Chairs meeting we were – based on roughly 500 reviews – in the lucky position of carefully selecting 17 papers for oral and 42 for poster presentation. Poster presenters were given the opportunity to summarize their papers in 3-minute spotlight presentations. The oral, spotlight and poster presentations were then scheduled in a single-track, 2. 5-day conference program, summarized in this book. In accordance with the goal of IDA, “to bring together researchers from diverse disciplines,” we achieved a nice balance of presentations from the more theoreticalside(bothstatisticsandcomputerscience)aswellasmoreapplicati- oriented areas that illustrate how these techniques can be used in practice. Work presented in these proceedings ranges from theoretical contributions dealing, for example, with data cleaning and compression all the way to papers addressing practical problems in the areas of text classi?cation and sales-rate predictions. A considerable number of papers also center around the currently so popular applications in bioinformatics.

Advances in Evolutionary Algorithms

Download Advances in Evolutionary Algorithms PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3540317597
Total Pages : 180 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!


Book Synopsis Advances in Evolutionary Algorithms by : Chang Wook Ahn

Download or read book Advances in Evolutionary Algorithms written by Chang Wook Ahn and published by Springer. This book was released on 2007-05-22 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. This book provides effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms.

Advanced Medical Statistics

Download Advanced Medical Statistics PDF Online Free

Author :
Publisher : World Scientific
ISBN 13 : 9789810248000
Total Pages : 1118 pages
Book Rating : 4.2/5 (48 download)

DOWNLOAD NOW!


Book Synopsis Advanced Medical Statistics by : Ying Lu

Download or read book Advanced Medical Statistics written by Ying Lu and published by World Scientific. This book was released on 2003 with total page 1118 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new and powerful advanced statistical methods that have been used in modern medicine, drug development, and epidemiology. Some of these methods were initially developed for tackling medical problems. All 29 chapters are self-contained. Each chapter represents the new development and future research topics for a medical or statistical branch. For the benefit of readers with different statistical background, each chapter follows a similar style: the explanation of medical challenges, statistical ideas and strategies, statistical methods and techniques, mathematical remarks and background and reference. All chapters are written by experts of the respective topics.

Mixture Models and Applications

Download Mixture Models and Applications PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3030238768
Total Pages : 356 pages
Book Rating : 4.0/5 (32 download)

DOWNLOAD NOW!


Book Synopsis Mixture Models and Applications by : Nizar Bouguila

Download or read book Mixture Models and Applications written by Nizar Bouguila and published by Springer. This book was released on 2019-08-13 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent unsupervised and semi-supervised frameworks that consider mixture models as their main tool. The chapters considers mixture models involving several interesting and challenging problems such as parameters estimation, model selection, feature selection, etc. The goal of this book is to summarize the recent advances and modern approaches related to these problems. Each contributor presents novel research, a practical study, or novel applications based on mixture models, or a survey of the literature. Reports advances on classic problems in mixture modeling such as parameter estimation, model selection, and feature selection; Present theoretical and practical developments in mixture-based modeling and their importance in different applications; Discusses perspectives and challenging future works related to mixture modeling.

Research Anthology on Usage and Development of Open Source Software

Download Research Anthology on Usage and Development of Open Source Software PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 : 1799891593
Total Pages : 904 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!


Book Synopsis Research Anthology on Usage and Development of Open Source Software by : Management Association, Information Resources

Download or read book Research Anthology on Usage and Development of Open Source Software written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-06-25 with total page 904 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quick growth of computer technology and development of software caused it to be in a constant state of change and advancement. This advancement in software development meant that there would be many types of software developed in order to excel in usability and efficiency. Among these different types of software was open source software, one that grants permission for users to use, study, change, and distribute it freely. Due to its availability, open source software has quickly become a valuable asset to the world of computer technology and across various disciplines including education, business, and library science. The Research Anthology on Usage and Development of Open Source Software presents comprehensive research on the design and development of open source software as well as the ways in which it is used. The text discusses in depth the way in which this computer software has been made into a collaborative effort for the advancement of software technology. Discussing topics such as ISO standards, big data, fault prediction, open collaboration, and software development, this anthology is essential for computer engineers, software developers, IT specialists and consultants, instructors, librarians, managers, executives, professionals, academicians, researchers, and students.

Conjugate Dirichlet Process Mixture Models

Download Conjugate Dirichlet Process Mixture Models PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 128 pages
Book Rating : 4.:/5 (89 download)

DOWNLOAD NOW!


Book Synopsis Conjugate Dirichlet Process Mixture Models by : David Boyack Dahl

Download or read book Conjugate Dirichlet Process Mixture Models written by David Boyack Dahl and published by . This book was released on 2004 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: