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Inferential Models

, such as p-values. It also constructs posterior probabilistic inferential summaries without a prior and Bayes' formula and offers insight on the;

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Inferential Models

as p-values. It also constructs posterior probabilistic inferential summaries without a prior and Bayes' formula and offers insight on the;

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Asymptotic Theory Of Quantum Statistical Inference

of Quantum Statistical Inference: Selected Papers will give the reader a new insight into physics and statistical inference.;

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Introduction to the Theory of Statistical Inference

, exercises, and figures provide a deeper insight into the material Solutions provided for problems formulated at the end of each chapter Combines;

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Introduction to the Theory of Statistical Inference

cases, exercises, and figures provide a deeper insight into the material Solutions provided for problems formulated at the end of each chapter;

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Active Inference

/PKDD 2020, held in Ghent, Belgium, in September 2020. The 13 full papers along with 6 short papers were thoroughly reviewed and selected from;

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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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Predictive Inference

his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety;

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Predictive Inference

his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety;

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Inference and Consciousness

Inference has long been a central concern in epistemology, as an essential means by which we extend our knowledge and test our beliefs;

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An Introduction to Bayesian Inference in Econometrics

volume is an early introduction to Bayesian inference and methodology which still has lasting value for today's statistician and student. The;

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Constrained Statistical Inference

sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical;

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Generic Inference

schemes) and a practical perspective (formalisms and applications). Researchers in a number of fields including artificial intelligence;

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Nondeductive Inference

deductive models. In particular, inductive inference, predictive inference, statistical inference, and decision making are examined in some detail;

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Nondeductive Inference

deductive models. In particular, inductive inference, predictive inference, statistical inference, and decision making are examined in some detail;

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Ecological Inference

problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make;

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Ecological Inference

problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make;

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Aspects of Statistical Inference

Relevant, concrete, and thorough--the essential data-based text on statistical inference The ability to formulate abstract concepts and;

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Inference for Hidden Markov Models and related Models

Inference for Hidden Markov Models and related Models is een boek van Cuvillier Verlag;

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An Introduction to Bayesian Inference and Decision

An Introduction to Bayesian Inference and Decision is een boek van Robert L Winkler;

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Semimartingales and their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its;

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Semimartingales and Their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its;

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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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Exact Statistical Inference for Categorical Data

statistical inference. This book introduces both conditional and unconditional exact approaches for the data in 2 by 2, or 2 by k contingency tables;

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Advanced Driver Intention Inference

Advanced Driver Intention Inference: Theory and Design describes one of the most important function for future ADAS, namely, the driver;

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A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935

This book offers a detailed history of parametric statistical inference. Covering the period between James Bernoulli and R.A. Fisher, it;

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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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