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