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Probabilistic Inference and Statistical Methods in Network Analysis

Probabilistic Inference and Statistical Methods in Network Analysis examines various aspects of network analysis and analysis several;

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Statistical Inference in Stochastic Processes

statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that determine the drift and the;

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Probabilistic Foundations of Statistical Network Analysis

Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major;

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Probabilistic Foundations of Statistical Network Analysis

Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful perspective on the fundamental tenets and major;

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Analysis of Microarray Data: A Network-Based Approach

* Statistical Methods for Inference of Genetic Networks and Regulatory Modules* Identification of Genetic Networks by Structural Equations* Predicting;

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Inferential Models

applications, and new directions for research. It discusses alternative, meaningful probabilistic interpretations of some common inferential summaries;

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Inferential Models

, and new directions for research. It discusses alternative, meaningful probabilistic interpretations of some common inferential summaries, such;

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Statistical Analysis of Network Data with R

chapters. The book concludes by featuring chapters on network flows, dynamic networks, and networked experiments. Statistical Analysis of Network;

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Machine Learning for Knowledge Discovery with R

, regularized regression, support vector machine, neural network, clustering, and causal-effect inference. Additionally, it emphasizes statistical;

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Bayesian Inference for Probabilistic Risk Assessment

Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing;

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Bayesian Inverse Problems

Gain a fundamental understanding of the use of probabilistic methods and reliability analysis techniques in engineering applications;

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Introduction to Probability Theory and Statistical Inference

Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on;

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Operational Subjective Statistical Methods

in subjectivist statistical method, this book offers a fresh look at the role of personal judgments in statistical analysis. Frank Lad demonstrates how;

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Linear Statistical Inference And Its Applications

. Efrom Translated into six major languages of the world, C. R. Rao's Linear Statistical Inference and Its Applications is one of the foremost;

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Statistical Inference

solutions to difficult model comparison problems and offers direct Bayesian counterparts of frequentist t-tests and other standard statistical;

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Statistical Inference

solutions to difficult model comparison problems and offers direct Bayesian counterparts of frequentist t-tests and other standard statistical;

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Group Invariance In Statistical Inference

In applied and pure sciences, the structural properties of groups are increasingly utilised to find better solutions in statistical;

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Statistical Methods Of Analysis

This textbook systematically presents fundamental methods of statistical analysis: from probability and statistical distributions, through;

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Statistical Methods Of Analysis

This textbook systematically presents fundamental methods of statistical analysis: from probability and statistical distributions, through;

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Data-Driven Computational Neuroscience

trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic;

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Propensity Score Analysis: Statistical Methods and Applications

Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and;

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Probability Theory and Statistical Inference

research methods, teaching the probabilistic and statistical foundations that enable the specification and validation of statistical models;

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Probability Theory and Statistical Inference

research methods, teaching the probabilistic and statistical foundations that enable the specification and validation of statistical models;

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Maximum Entropy and Bayesian Methods

Mexico, USA, from July 31 to August 4, 1995. Maximum entropy and Bayesian methods are widely applied to statistical data analysis and scientific;

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Inferential Network Analysis

that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from;

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Inferential Network Analysis

that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from;

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An Introduction to Statistical Inference and Its Applications with R

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition;

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