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The Limits of Inference without Theory

number of examples that illustrate the limits of inference without theory: the effect of unemployment benefits on unemployment duration; the;

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Inferential Models

book covers the foundational motivations for this new IM approach, the basic theory behind its calibration properties, a number of important;

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Inferential Models

the foundational motivations for this new IM approach, the basic theory behind its calibration properties, a number of important applications;

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Means Without End

Century; and the emergence of technology without limits in the 20th Century, reflected in the German reactionary modernists' theory of autonomous;

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Introductory Statistical Inference with the Likelihood Function

This textbook covers the fundamentals of statistical inference and statistical theory including Bayesian and frequentist approaches and;

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Information, Inference and Decision

Under the title 'Information, Inference and Decision' this volume in the Theory and Decision Library presents some papers on issues from;

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Probability and Statistical Inference

manner without sacrificing mathematical rigour, bridging the gap between the many excellent introductory books and the more advanced, graduate;

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Probability and Statistical Inference

manner without sacrificing mathematical rigour, bridging the gap between the many excellent introductory books and the more advanced, graduate;

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BAYESIAN INFERENCE

. Topics covered include the central field of statistical inference as well as applications to areas of probability theory, information theory;

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Introduction to the Theory of Statistical Inference

Based on the authors lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage;

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Introduction to the Theory of Statistical Inference

Based on the authors' lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage;

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Asymptotic Theory Of Quantum Statistical Inference

theory, which is one of the central issues of mathematical statistics and had not been investigated in quantum statistical inference until the;

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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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Mathematical Foundations of Infinite-Dimensional Statistical Models

In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood;

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Linear Statistical Inference And Its Applications

book represents a comprehensive account of the main body of results that comprise modern statistical theory. -W. G. Cochran [C. R. Rao;

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Some Basic Theory for Statistical Inference

In this book the author presents with elegance and precision some of the basic mathematical theory required for statistical inference at a;

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Active Inference

The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple;

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A Treatise On Probability - Unabridged

To The Theory Of Knowledge - The Measurement Of Probabilities - The Principle Of Indifference - Other Methods Of Determining Probabilities;

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Semimartingales and their Statistical Inference

modeling. Until now, however, researchers have had no single reference that collected the research conducted on the asymptotic theory for;

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Semimartingales and Their Statistical Inference

modeling. Until now, however, researchers have had no single reference that collected the research conducted on the asymptotic theory for;

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Inference and Asymptotics

focuses on first-order asymptotic theory, and discusses the need for higher-order theory.;

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Active Inference

This book constitutes the refereed proceedings of the First International Workshop on Active Inference, IWAI 2020, co-located with ECML;

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Bayesian Methods For Hackers

Master Bayesian Inference through Practical Examples and Computation-Without Advanced Mathematical Analysis Bayesian methods;

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Essentials of Statistical Inference

explained, as well as basic mathematical theory. Written in a lucid and informal style, this concise text provides both basic material on the main;

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Essentials of Statistical Inference

explained, as well as basic mathematical theory. Written in a lucid and informal style, this concise text provides both basic material on the main;

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Aspects of Statistical Inference

population inference. A. H. Welsh goes beyond the standard texts and expertly synthesizes broad, critical theory with concrete data and relevant;

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Grammatical Inference

, computational biology, formal learning theory and many others. Though the book is largely practical, it also includes elements of learning theory;

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