The main theme in this book is to teach modeling based on the principle that the objective is to extract the information ...
Continue readingInterest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective studies the mathematical issues that arise ...
Continue readingInterest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective studies the mathematical issues that arise ...
Continue readingInverse problems are closely related to statistical inference problems, where the observations are used to infer on an underlying ...
Continue readingThis book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. ...
Continue readingIntroduction to Engineering Statistics and Six Sigma contains precise descriptions of all of the many related methods and ...
Continue readingThis book looks at the mathematical foundations of the models currently in use. This book is unique in the sense that it ...
Continue readingThese notes are designed as a text book for a course on the Modern Physics Theory for undergraduate students. The purpose ...
Continue readingAddresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building Python ...
Continue readingThe KDXD 2006 (Knowledge Discovery from XML Documents) workshop is the ?rst international workshop running this year in conjunction ...
Continue readingThis book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
Continue readingThe three-volume set LNCS 12476 - 12478 constitutes the refereed proceedings of the 9th International Symposium on Leveraging ...
Continue readingThis book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
Continue readingThe aim of this book is to give a systematic introduction to and overview of the relatively simple and popular linearization ...
Continue readingWhen applying the statistical theory of long range dependent (LRD) processes to economics, the strong complexity of macroeconomic ...
Continue readingApproaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
Continue readingThe European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery ...
Continue readingThe present collection of formulas has been composed for students of economics or management science at universities, colleges ...
Continue readingThis collection of formulas constitutes a compendium of mathematics for eco nomics and business. It contains the most important ...
Continue readingThe aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather ...
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