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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 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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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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Probabilistic Graphical Models

This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical;

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Probabilistic Graphical Models

This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical;

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Graphical Models for Security

This book constitutes revised papers from the 6th International Workshop on Graphical Models for Security, GraMSec 2019, held in Hoboken;

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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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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 for Categorical Data

recently introduced in the graphical model literature. It focuses on the discrete case where all variables involved are categorical and, in this;

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Probabilistic Graphical Models

This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective;

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A Handbook of Statistical Graphics Using SAS ODS

Using SAS ODS covers essential graphical methods needed in every statistician's toolkit. It explains how to implement the methods using SAS 9.4;

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A Handbook of Statistical Graphics Using SAS ODS

Using SAS ODS covers essential graphical methods needed in every statistician's toolkit. It explains how to implement the methods using SAS 9.4;

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Mastering Probabilistic Graphical Models Using Python

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Bayesian and grAphical Models for Biomedical Imaging

This book constitutes the refereed proceedings of the First International Workshop on Bayesian and grAphical Models for Biomedical Imaging;

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Handbook of Statistical Systems Biology

statistical methods for complex systems. * Explores networks and graphical modeling as well as a wide range of statistical models for dynamical;

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Handbook Of Electrical Power System Dynamics

frequency and voltage are described. Illustrative examples and graphical representations help readers across many disciplines acquire ample;

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Revival: Handbook of Physical Properties of Rocks (1982)

format is largely tabular and graphical, designed for ease of use in comparisons and referencing. The chapters are contributed by recognized;

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Handbook of Physical Properties of Rocks (1984)

format is largely tabular and graphical, designed for ease of use in comparisons and referencing. The chapters are contributed by recognized;

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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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Probabilistic Graphical Models for Computer Vision.

Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and;

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Advanced Methodologies for Bayesian Networks

researchers explore methodologies for enhancing the effectiveness of graphical models including modeling, reasoning, model selection, logic;

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Probabilistic Graphical Models

. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model;

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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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Pattern Recognition and Machine Learning

that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability;

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Register Des Graphischen

Starting from the smallest elements of the graphical inventory (grapheme variants, punctuation, and pictographs), this book offers;

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Handbook of Data Visualization

and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also examines;

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