Probability and Statistical Inference

Advanced Probability and Statistical Inference I

Pointwise probability reinforcements for robust statistical inference

Statistical inference using machine learning techniques may be difficult with small datasets because of abnormally frequent data (AFDs). AFDs are observations that are much more frequent in the training sample that they should be, with respect to their theoretical probability, and include e.g. outliers. Estimates of parameters tend to be biased towards models which support such data. This paper...

statistical inference via empirical bayes approach for stationary and dynamic contingency tables

چکیده ندارد.

Probability Theory and Statistical Inference Econometric Modeling with Observational Data

A catalogue record for this book is available from the British Library Library of Congress Cataloguing in Publication data Spanos, Aris, 1952– Probability Theory and Statistical Inference: econometric modeling with observational data / Aris Spanos p. cm. Includes bibliographical references (p.) and index. Contents Preface page xi Acknowledgments xxiv 1 An introduction to empirical modeling 1 1....

The Logical Concept of Probability and Statistical Inference

A consistent concept of logical probability affords the employment of interval probability. Such a concept which attributes probability to arguments consisting of premise and conclusion, can be used to generate a system of axioms for statistical inference.