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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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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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Probabilistic Risk Analysis

Probabilistic risk analysis aims to quantify the risk caused by high technology installations in situations where classical statistical;

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Biostatistics for Human Genetic Epidemiology

data analysis. It examines probabilistic and statistical theories for modeling human genetic epidemiology - leading the readers;

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Foundations of Statistical Natural Language Processing

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first;

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Bayesian Networks Handbook

A Bayesian network is also known as a Bayes network, belief network or causal probabilistic network. Bayesian belief networks are effective;

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Statistical Physics

, probabilistic approach to statistical mechanics. The treatment employs Gauss's principle and incorporates Bose-Einstein and Fermi-Dirac statistics to;

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Laws of Chaos

theoretical framework for the foundations of political economy. It relies on probabilistic and statistical methods of the kind used in the modern;

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Data Analysis from Statistical Foundations

Data Analysis from Statistical Foundations;

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Probabilistic Methods in Geotechnical Engineering

slopes. Other papers on analytical techniques in geotechnical reliability, modelling of soil properties, and probabilistic analysis of slopes;

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Stochastic Causality

analysis of probabilistic data; others address causal issues in physics, with an emphasis on physical processes that are also probabilistic-i.e;

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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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Random Signals

filtering; and statistical estimation - the measurement and analysis of random data to determine the structure and parameter values of probabilistic;

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Analysis of Microarray Data: A Network-Based Approach

* Reconstruction of the Yeast Cell Cycle by Partial Correlations of Higher Order* Bilayer Verification Algorithm* Probabilistic Boolean Networks as Models;

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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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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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Data-Driven Computational Neuroscience

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

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Improving Statistical Reasoning

traced in a neural network model of human performance on statistical reasoning problems. This book apppeals to judgment and decision making;

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Neural Networks and Statistical Learning

This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single;

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Statistical Analysis of Network Data with R

The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been;

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Statistical Analysis of Hydrologic Variables

Environmental and Water Resources Institute. Statistical Analysis of Hydrologic Variables: Methods and Applications provides a compilation of state;

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Probabilistic models for computer networks

Probabilistic models for computer networks: Tools and solved problems overviews the main probabilistic tools and theory used in the;

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Applied Probabilistic Calculus for Financial Engineering

necessary probabilistic and statistical foundations, before moving on to topics related to asset allocation and portfolio optimization with R codes;

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14th International Probabilistic Workshop

new developments as well as accurate and practically applicable probabilistic and statistical engineering methods to support these;

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18th International Probabilistic Workshop

give rise to new developments as well as accurate and practically applicable probabilistic and statistical engineering methods to support these;

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