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Maximum Entropy Econometrics

replicated, the estimation rules optimal and the inferences free of distortion. Faced with these problems, Maximum Entropy Economeirics provides a;

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Non-Extensive Entropy Econometrics for Low Frequency Series

maximum entropy principle and the Bayesian generalized method of moments. Rival econometric techniques are not conceptually adapted to solving;

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Non-Extensive Entropy Econometrics for Low Frequency Series

concepts: Jayne's maximum entropy principle and the Bayesian generalized method of moments. Rival econometric techniques are not conceptually;

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Maximum Entropy and Bayesian Methods

This volume contains the proceedings of the Fifteenth International Workshop on Maximum Entropy and Bayesian Methods, held in Sante Fe, New;

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Maximum Entropy and Bayesian Methods in Applied Statistics

This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy;

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Linear Inverse Problems

The book describes a useful tool for solving linear inverse problems subject to convex constraints. The method of maximum entropy in the;

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The Maximum Entropy Method

Forty years ago, in 1957, the Principle of Maximum Entropy was first intro- duced by Jaynes into the field of statistical mechanics. Since;

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Entropy Theory and its Application in Environmental and Water Engineering

practical problems of environmental and water engineering. The book presents and explains the Principle of Maximum Entropy (POME) and the Principle;

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Energy and Entropy

, which corresponds to maximum entropy Analysis of energy and entropy of matter and photons, with examples ranging from rubber bands;

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Energy and Entropy

, which corresponds to maximum entropy Analysis of energy and entropy of matter and photons, with examples ranging from rubber bands;

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Spatial and Spatiotemporal Econometrics

of econometric methods including, maximum likelihood, Bayesian and hierarchical Bayes, instrumental variables, generalized method of moments, maximum;

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Modern Spatiotemporal Geostatistics

, focusing on the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables. 2000 edition.;

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Statistical Data Analysis and Entropy

This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis;

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Non-Equilibrium Thermodynamics and the Production of Entropy: Life, Earth, and Beyond

the Maximum Entropy Production (MEP) principle and applications to Geosphere-Biosphere couplings. Written by leading researchers from a wide;

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Non-Equilibrium Thermodynamics and the Production of Entropy: Life, Earth, and Beyond

the Maximum Entropy Production (MEP) principle and applications to Geosphere-Biosphere couplings. Written by leading researchers from a wide;

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Introduction to the Theory of Econometrics

Familiarity with the standard linear regression model and a thorough understanding of the principles of maximum likelihood are essential;

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Entropy Theory in Hydrologic Science and Engineering

throughout this practical resource. Entropy Theory in Hydrologic Science and Engineering covers: Introduction to entropy theory Maximum entropy;

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Topics in Advanced Econometrics

subjects include nonlinear estimation, maximum likelihood theory, ARMA and ARMAX models, unit roots and cointegration, and nonparametric regression;

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Econometrics

, except maximum likelihood, are treated as special cases of GMM (generalized methods of moments). Maximum likelihood estimators for a variety;

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Charge Transport in Low Dimensional Semiconductor Structures: The Maximum Entropy Approach

This book offers, from both a theoretical and a computational perspective, an analysis of macroscopi;...

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Hands-on Intermediate Econometrics Using R

them. (xv) Confusion matrix. (xvi) Quantile regression (xvii) Elastic net estimator. (xviii) generalized Correlations (xix) maximum entropy;

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Hands-on Intermediate Econometrics Using R

them. (xv) Confusion matrix. (xvi) Quantile regression (xvii) Elastic net estimator. (xviii) generalized Correlations (xix) maximum entropy;

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From Plant Traits to Vegetation Structure

with a trait-based approach. After reviewing these two approaches, it then explains how models based on the Maximum Entropy Formalism can be;

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From Plant Traits To Vegetation Structure

with a trait-based approach. After reviewing these two approaches, it then explains how models based on the Maximum Entropy Formalism can be;

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Introductory Econometrics

. Each chapter contains exercises for subject revision and new chapters include: maximum likelihood estimation; extensions of classical linear;

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Information Theory in Computer Vision and Pattern Recognition

...), principles (maximum entropy, minimax entropy...) and theories (rate distortion theory, method of types...). This book explores and;

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Probability And Information

. Topics covered include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit;

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