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Inference and Intervention

Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications;

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Inference and Intervention

Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications;

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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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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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Causality, Probability, and Time

is critically important for prediction, explanation and intervention. However, given the growing availability of large observational datasets including;

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Causality, Probability, and Time

is critically important for prediction, explanation and intervention. However, given the growing availability of large observational datasets including;

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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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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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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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Elements of Causal Inference

intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for;

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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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