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Inference from Signs

James Allen presents an original and penetrating investigation of the notion of inference from signs, which played a central role;

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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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Inference and Consciousness

. Inference is also a key notion in influential psychological accounts of mental capacities, ranging from problem-solving to perception. Consciousness;

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An Introduction to Bayesian Inference in Econometrics

coverage ranges from the fundamental concepts and operations of Bayesian inference to analysis of applications in specific econometric problems and;

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A Book about Signs

A Book About Signs is a whimsical look at the signs that surround us. From road signs to memorial plaques, from traffic lights to placards;

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Constrained Statistical Inference

An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from;

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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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Generic Inference

from this work.;

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Statistical Inference from High Dimensional Data

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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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Inference and Asymptotics

This book provides a systematic account of some developments in asymptotic parametric inference from a likelihood-based perspective. It;

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Statistical Inference in Science

information into various parts, such that the diverse problems of inference that arise from repeatable experiments may be addressed. A particularly;

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Statistical Inference in Science

information into various parts, such that the diverse problems of inference that arise from repeatable experiments may be addressed. A particularly;

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Statistical Inference for Fractional Diffusion Processes

economics. In model building, statistical inference for stochastic processes is of great importance from both a theoretical and an applications;

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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;...

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Causality and Probability in the Sciences

Causal inference is perhaps the most important form of reasoning in the sciences. A panoply of disciplines, ranging from epidemiology to;

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Grammatical Inference

This book focuses on grammatical inference, presenting classic and modern methods of grammatical inference from the perspective;

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Bayesian Inference for Probabilistic Risk Assessment

perform or review risk analyses. It provides an analytical structure for combining data and information from various sources to generate estimates;

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Aspects of Statistical Inference

draw conclusions from data is fundamental to mastering statistics. Aspects of Statistical Inference equips advanced undergraduate and graduate;

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No dog signs

DOG SIGNS is a collection of images of dogs in all shapes and sizes, taken from signs and posters from around the world. The signs featured;

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Introduction to the Theory of Statistical Inference

statistics, and theoretically-interested students from other disciplines. Results are presented as theorems and corollaries. All theorems are proven;

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Introduction to the Theory of Statistical Inference

, and theoretically-interested students from other disciplines. Results are presented as theorems and corollaries. All theorems are proven and;

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Imperfect Phylogeny Haplotype Inference

The haplotype inference (HI) problem is defined as the problem of inferring 2n haplotype pairs from n observed genotype vectors. The;

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1000 Signs

Made in cooperation with Colors magazine, this book features an amusing collection of signs from around the world. Divided into chapters by;

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Empirical Bayes and Likelihood Inference

Bayesian and such approaches to inference have a number of points of close contact, especially from an asymptotic point of view. Both;

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