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A First Course in Probability Models and Statistical Inference
Welcome to new territory: A course in probability models and statistical inference. The concept of probability is not new to you of course. You've encountered it since childhood in …
An Introduction to Probability and Statistical Inference
An Introduction to Probability and Statistical Inference, Second Edition, guides you through probability models and statistical methods and helps you to think critically about …
An Introduction to Probability and Statistical Inference
Roussas introduces readers with no prior knowledge in probability or statistics, to a thinking process to guide them toward the best solution to a posed question or situation. An …
Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives
This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental …
Aspects of Statistical Inference
Relevant, concrete, and thorough--the essential data-based text onstatistical inference The ability to formulate abstract concepts and draw conclusionsfrom data is fundamental to …
Bayesian Inference for Partially Identified Models
Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models …
Bayesian nonparametrics for causal inference and missing data
Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions …
Comparative Statistical Inference
This fully updated and revised third edition, presents a wide ranging, balanced account of the fundamental issues across the full spectrum of inference and decision-making. Much …
Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference
This book provides a unified exposition of some fundamental theoretical problems in high-dimensional statistics. It specifically considers the canonical problems of detection and …
Constrained Statistical Inference
This volumes focuses on the theory of statistical inference under inequality constraints, providing a unified and up-to-date treatment of the methodology. The scope of applications …
First Course in Probability Models and Statistical Inference
Welcome to new territory: A course in probability models and statistical inference. The concept of probability is not new to you of course. You've encountered it since childhood in …
Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science
In May of 1973 we organized an international research colloquium on foundations of probability, statistics, and statistical theories of science at the University of Western …