Handbook Of Mixed Membership Models And Their Applications

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Handbook of Mixed Membership Models and Their Applications

Author : Edoardo M. Airoldi
Publisher : CRC Press
ISBN 13 : 1466504080
Total Pages : 622 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Handbook of Mixed Membership Models and Their Applications by : Edoardo M. Airoldi

Download or read book Handbook of Mixed Membership Models and Their Applications written by Edoardo M. Airoldi and published by CRC Press. This book was released on 2014-11-06 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology. Through examples using real data sets, you’ll discover how to characterize complex multivariate data in: Studies involving genetic databases Patterns in the progression of diseases and disabilities Combinations of topics covered by text documents Political ideology or electorate voting patterns Heterogeneous relationships in networks, and much more The handbook spans more than 20 years of the editors’ and contributors’ statistical work in the field. Top researchers compare partial and mixed membership models, explain how to interpret mixed membership, delve into factor analysis, and describe nonparametric mixed membership models. They also present extensions of the mixed membership model for text analysis, sequence and rank data, and network data as well as semi-supervised mixed membership models.

Handbook of Mixed Membership Models and Their Applications

Author : Edoardo M. Airoldi
Publisher : CRC Press
ISBN 13 : 1466504099
Total Pages : 608 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Handbook of Mixed Membership Models and Their Applications by : Edoardo M. Airoldi

Innovative Assessment of Collaboration

Author : Alina A. von Davier
Publisher : Springer
ISBN 13 : 3319332619
Total Pages : 343 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Innovative Assessment of Collaboration by : Alina A. von Davier

Download or read book Innovative Assessment of Collaboration written by Alina A. von Davier and published by Springer. This book was released on 2017-04-04 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume provides a platform for experts from various fields to introduce and discuss their different perspectives on the topic of teamwork and collaborative problem solving. It brings together researchers in organizational teaming, educational collaboration, tutoring, simulation, and gaming as well as those involved in statistical and psychometric process modelling. This book seeks to channel this expertise towards advances in the measurement and assessment of cognitive and non-cognitive skills of individuals and teams.

Network Models for Data Science

Author : Alan Julian Izenman
Publisher : Cambridge University Press
ISBN 13 : 1108889034
Total Pages : 502 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis Network Models for Data Science by : Alan Julian Izenman

Download or read book Network Models for Data Science written by Alan Julian Izenman and published by Cambridge University Press. This book was released on 2023-01-05 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups. Methods and models described in detail include random graph models, percolation processes, methods for sampling from huge networks, network partitioning, and community detection. In addition to static networks the book introduces dynamic networks such as epidemics, where time is an important component.

Policy Analytics, Modelling, and Informatics

Author : J Ramon Gil-Garcia
Publisher : Springer
ISBN 13 : 3319617621
Total Pages : 434 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Policy Analytics, Modelling, and Informatics by : J Ramon Gil-Garcia

Download or read book Policy Analytics, Modelling, and Informatics written by J Ramon Gil-Garcia and published by Springer. This book was released on 2017-10-03 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive approach to the study of policy analytics, modelling and informatics. It includes theories and concepts for understanding tools and techniques used by governments seeking to improve decision making through the use of technology, data, modelling, and other analytics, and provides relevant case studies and practical recommendations. Governments around the world face policy issues that require strategies and solutions using new technologies, new access to data and new analytical tools and techniques such as computer simulation, geographic information systems, and social network analysis for the successful implementation of public policy and government programs. Chapters include cases, concepts, methodologies, theories, experiences, and practical recommendations on data analytics and modelling for public policy and practice, and addresses a diversity of data tools, applied to different policy stages in several contexts, and levels and branches of government. This book will be of interest of researchers, students, and practitioners in e-government, public policy, public administration, policy analytics and policy informatics.

Multilevel Network Analysis for the Social Sciences

Author : Emmanuel Lazega
Publisher : Springer
ISBN 13 : 3319245201
Total Pages : 373 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Multilevel Network Analysis for the Social Sciences by : Emmanuel Lazega

Download or read book Multilevel Network Analysis for the Social Sciences written by Emmanuel Lazega and published by Springer. This book was released on 2015-12-16 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable.

Emerging Technologies During the Era of COVID-19 Pandemic

Author : Ibrahim Arpaci
Publisher : Springer Nature
ISBN 13 : 3030677168
Total Pages : 385 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Emerging Technologies During the Era of COVID-19 Pandemic by : Ibrahim Arpaci

Download or read book Emerging Technologies During the Era of COVID-19 Pandemic written by Ibrahim Arpaci and published by Springer Nature. This book was released on 2021-03-20 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book tackles the recent research directions in using the newly emerged technologies during the era of COVID-19 pandemic. It mainly focuses on using emerging technologies and their impact on health care, education, and society. It also provides insights into the current challenges and constraints in using technologies during the era of COVID-19 pandemic and exposes new opportunities for future research in the domain.

The SAGE Handbook of Multilevel Modeling

Author : Marc A. Scott
Publisher : SAGE
ISBN 13 : 1473971314
Total Pages : 954 pages
Book Rating : 4.4/5 (739 download)

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Book Synopsis The SAGE Handbook of Multilevel Modeling by : Marc A. Scott

Download or read book The SAGE Handbook of Multilevel Modeling written by Marc A. Scott and published by SAGE. This book was released on 2013-08-31 with total page 954 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling. The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field. Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference. Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models. Part III includes discussion of missing data and robust methods, assessment of fit and software. Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines. Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.

Handbook of Research on Mixed Methods Research in Information Science

Author : Ngulube, Patrick
Publisher : IGI Global
ISBN 13 : 1799888460
Total Pages : 737 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Mixed Methods Research in Information Science by : Ngulube, Patrick

Download or read book Handbook of Research on Mixed Methods Research in Information Science written by Ngulube, Patrick and published by IGI Global. This book was released on 2021-11-26 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mixed methods research is becoming prevalent in many fields, yet little has been done to elevate mixed methods research in information science. A comprehensive picture of information science and its problems is needed to further understand and address the issues associated with it as well as how mixed methods research can be adapted and used. The Handbook of Research on Mixed Methods Research in Information Science discusses the quality of mixed methods studies and methodological transparency, sampling in mixed methods research, and the application of theory in mixed methods research throughout various contexts. Covering topics such as the issues and potential directions for further research in mixed methods, this comprehensive major reference work is ideal for researchers, policymakers, academicians, librarians, practitioners, instructors, and students.

Handbook of Latent Variable and Related Models

Author :
Publisher : Elsevier
ISBN 13 : 0080471269
Total Pages : 458 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Handbook of Latent Variable and Related Models by :

Download or read book Handbook of Latent Variable and Related Models written by and published by Elsevier. This book was released on 2011-08-11 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data - Includes illustrative examples with real data sets from business, education, medicine, public health and sociology. - Demonstrates the use of a wide variety of statistical, computational, and mathematical techniques.

SAGE Handbook of Mixed Methods in Social & Behavioral Research

Author : Abbas Tashakkori
Publisher : SAGE
ISBN 13 : 1412972663
Total Pages : 913 pages
Book Rating : 4.4/5 (129 download)

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Book Synopsis SAGE Handbook of Mixed Methods in Social & Behavioral Research by : Abbas Tashakkori

Download or read book SAGE Handbook of Mixed Methods in Social & Behavioral Research written by Abbas Tashakkori and published by SAGE. This book was released on 2010-06-21 with total page 913 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Mixed Methods in Social & Behavioral Research contains a gold mine of articles by leading scholars on what has come to be known as the third methodological movement in social research. Aimed at surveying the differing viewpoints and disciplinary approaches of mixed methods, this breakthrough book examines mixed methods from the research enterprise to paradigmatic issues to application. The book also discusses the strengths and weaknesses of mixed methods designs, and provides an array of specific examples in a variety of disciplines, from psychology to nursing. The book closes with a brief section on how to teach and perform collaborative research using a mixed methods research design. Written so that it can be used either as a pedagogical tool or as a reference for researchers, the book is rich in examples and includes a glossary, easy-to-follow diagrams, and tables to help readers become more familiar with the language and controversies in this evolving area.

Mixed Models

Author : Eugene Demidenko
Publisher : John Wiley & Sons
ISBN 13 : 0471726133
Total Pages : 732 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Mixed Models by : Eugene Demidenko

Download or read book Mixed Models written by Eugene Demidenko and published by John Wiley & Sons. This book was released on 2005-01-28 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: A rigorous, self-contained examination of mixed model theory and application Mixed modeling is one of the most promising and exciting areas of statistical analysis, enabling the analysis of nontraditional, clustered data that may come in the form of shapes or images. This book provides in-depth mathematical coverage of mixed models’ statistical properties and numerical algorithms, as well as applications such as the analysis of tumor regrowth, shape, and image. Paying special attention to algorithms and their implementations, the book discusses: Modeling of complex clustered or longitudinal data Modeling data with multiple sources of variation Modeling biological variety and heterogeneity Mixed model as a compromise between the frequentist and Bayesian approaches Mixed model for the penalized log-likelihood Healthy Akaike Information Criterion (HAIC) How to cope with parameter multidimensionality How to solve ill-posed problems including image reconstruction problems Modeling of ensemble shapes and images Statistics of image processing Major results and points of discussion at the end of each chapter along with "Summary Points" sections make this reference not only comprehensive but also highly accessible for professionals and students alike in a broad range of fields such as cancer research, computer science, engineering, and industry.

Mixed-Effects Models in S and S-PLUS

Author : José C. Pinheiro
Publisher : Springer Science & Business Media
ISBN 13 : 1441903178
Total Pages : 538 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Mixed-Effects Models in S and S-PLUS by : José C. Pinheiro

Download or read book Mixed-Effects Models in S and S-PLUS written by José C. Pinheiro and published by Springer Science & Business Media. This book was released on 2009-04-15 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: R, linear models, random, fixed, data, analysis, fit.

Linear Mixed Models

Author : Brady T. West
Publisher : CRC Press
ISBN 13 : 1466560991
Total Pages : 442 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Linear Mixed Models by : Brady T. West

Download or read book Linear Mixed Models written by Brady T. West and published by CRC Press. This book was released on 2014-07-17 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highly recommended by JASA, Technometrics, and other journals, the first edition of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition continues to lead readers step by step through the process of fitting LMMs. This second edition covers additional topics on the application of LMMs that are valuable for data analysts in all fields. It also updates the case studies using the latest versions of the software procedures and provides up-to-date information on the options and features of the software procedures available for fitting LMMs in SAS, SPSS, Stata, R/S-plus, and HLM. New to the Second Edition A new chapter on models with crossed random effects that uses a case study to illustrate software procedures capable of fitting these models Power analysis methods for longitudinal and clustered study designs, including software options for power analyses and suggested approaches to writing simulations Use of the lmer() function in the lme4 R package New sections on fitting LMMs to complex sample survey data and Bayesian approaches to making inferences based on LMMs Updated graphical procedures in the software packages Substantially revised index to enable more efficient reading and easier location of material on selected topics or software options More practical recommendations on using the software for analysis A new R package (WWGbook) that contains all of the data sets used in the examples Ideal for anyone who uses software for statistical modeling, this book eliminates the need to read multiple software-specific texts by covering the most popular software programs for fitting LMMs in one handy guide. The authors illustrate the models and methods through real-world examples that enable comparisons of model-fitting options and results across the software procedures.

Mixed Effects Models for Complex Data

Author : Lang Wu
Publisher : CRC Press
ISBN 13 : 9781420074086
Total Pages : 431 pages
Book Rating : 4.0/5 (74 download)

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Book Synopsis Mixed Effects Models for Complex Data by : Lang Wu

Download or read book Mixed Effects Models for Complex Data written by Lang Wu and published by CRC Press. This book was released on 2009-11-11 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews the corresponding class of regression model for cross-sectional data. An overview of general models and methods, along with motivating examples After presenting real data examples and outlining general approaches to the analysis of longitudinal/clustered data and incomplete data, the book introduces linear mixed effects (LME) models, generalized linear mixed models (GLMMs), nonlinear mixed effects (NLME) models, and semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values, measurement errors, censoring, and outliers. Self-contained coverage of specific topics Subsequent chapters delve more deeply into missing data problems, covariate measurement errors, and censored responses in mixed effects models. Focusing on incomplete data, the book also covers survival and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating equation (GEE) models for longitudinal or clustered data, and Bayesian methods for mixed effects models. Background material In the appendix, the author provides background information, such as likelihood theory, the Gibbs sampler, rejection and importance sampling methods, numerical integration methods, optimization methods, bootstrap, and matrix algebra. Failure to properly address missing data, measurement errors, and other issues in statistical analyses can lead to severely biased or misleading results. This book explores the biases that arise when naïve methods are used and shows which approaches should be used to achieve accurate results in longitudinal data analysis.

Handbook of Graphical Models

Author : Marloes Maathuis
Publisher : CRC Press
ISBN 13 : 0429874235
Total Pages : 612 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Handbook of Graphical Models by : Marloes Maathuis

Download or read book Handbook of Graphical Models written by Marloes Maathuis and published by CRC Press. This book was released on 2018-11-12 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of applications. Furthermore, directed graphical models allow intuitive causal interpretations and have become a cornerstone for causal inference. While there exist a number of excellent books on graphical models, the field has grown so much that individual authors can hardly cover its entire scope. Moreover, the field is interdisciplinary by nature. Through chapters by leading researchers from different areas, this handbook provides a broad and accessible overview of the state of the art. Key features: * Contributions by leading researchers from a range of disciplines * Structured in five parts, covering foundations, computational aspects, statistical inference, causal inference, and applications * Balanced coverage of concepts, theory, methods, examples, and applications * Chapters can be read mostly independently, while cross-references highlight connections The handbook is targeted at a wide audience, including graduate students, applied researchers, and experts in graphical models.

Information Integration and Web Intelligence

Author : Pari Delir Haghighi
Publisher : Springer Nature
ISBN 13 : 3031483162
Total Pages : 563 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Information Integration and Web Intelligence by : Pari Delir Haghighi

Download or read book Information Integration and Web Intelligence written by Pari Delir Haghighi and published by Springer Nature. This book was released on 2023-11-22 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 25th International Conference on Information Integration and Web Intelligence, iiWAS 2023, organized in conjunction with the 21st International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM2023, held in Denpasar, Bali, Indonesia, during December 4-6, 2023. The 24 full papers and 24 short papers presented in this book were carefully reviewed and selected from 96 submissions. The papers are divided into the following topical sections: business data and applications; data management; deep and machine Learning; generative AI; image data and knowledge graph; recommendation systems; similarity measure and metric; and topic and text matching.