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Graphical Models with R

Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the;

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Learning Probabilistic Graphical Models in R

Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R About This Book;

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Graphical Models in Applied Multivariate Statistics

Graphical models----a subset of log--linear models----reveal the interrelationships between multiple variables and features of the;

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Graphical Models for Security

contains two invited talk. The contributions deal with the latest research and developments on graphical models for security.;

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Handbook of Graphical Models

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models;

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Handbook of Graphical Models

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models;

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Graphical Data Analysis with R

See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The;

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Graphical Data Analysis with R

See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The;

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Probabilistic Graphical Models

with probabilistic graphical models Covers multidimensional Bayesian classifiers, relational graphical models, and causal models Provides;

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Probabilistic Graphical Models

with probabilistic graphical models Covers multidimensional Bayesian classifiers, relational graphical models, and causal models Provides;

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Biostatistical Design and Analysis Using R

R the statistical and graphical environment is rapidlyemerging as an important set of teaching and research tools forbiologists. This book;

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Biostatistical Design & Analysis Using R

R the statistical and graphical environment is rapidlyemerging as an important set of teaching and research tools forbiologists. This book;

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Time-Like Graphical Models

probabilistic graphical models. In 2011, Burdzy and Pal proposed a continuous version of graphical models indexed by graphs with an embedded time;

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Programming Graphical User Interfaces in R

Programming Graphical User Interfaces with R introduces each of the major R packages for GUI programming: RGtk2, qtbase, Tcl/Tk, and;

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Electric Machines

covers advanced subjects in electric machines, starting from principles, to applications and case studies with ample graphical (numerical;

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Discrete Data Analysis with R

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and;

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Solutions Manual Accompany Models Life

A solutions manual to accompany An Introduction to Discrete Mathematical Modeling with Microsoft(R) Office Excel (R) With a focus on;

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Two-Way Analysis of Variance

actions. This brief provides guidance on how R can be used to facilitate Two-Way ANOVA for data analysis and graphical presentation. Along with;

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Microeconomics With Calculus

Microeconomics with Calculus integrates the graphical and mathematical development of basic microeconomic theory and stresses the;

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Graphics for Statistics and Data Analysis with R

of Applied Statistics Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles of graphical design and applies;

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Graphics for Statistics and Data Analysis with R

of R code is particularly useful to assist readers' understanding of the graphical techniques discussed in the book. ... It not only summarises;

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A Handbook of Statistical Analyses Using R

relevant statistical background, along with appropriate references. New to the Second Edition New chapters on graphical displays, generalized;

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MATLAB Programming for Engineers

Master today's MATLAB (R) technical programming language while strengthening problem-solving skills with the help of Chapman's successful;

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Bayesian Networks and Decision Graphs

This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical;

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Biomarker Analysis in Clinical Trials with R

Early Clinical Development, Pfizer, Inc. Biomarker Analysis in Clinical Trials with R offers practical guidance to statisticians in the;

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Biomarker Analysis in Clinical Trials with R

Early Clinical Development, Pfizer, Inc. Biomarker Analysis in Clinical Trials with R offers practical guidance to statisticians in the;

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Multilevel Modeling Using R

Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting;

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