Information and Complexity in Statistical Modeling
The main theme in this book is to teach modeling based on the principle that the objective is to extract the information ...
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Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective
Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective studies the mathematical issues that arise ...
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Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective
Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective studies the mathematical issues that arise ...
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Introduction to Bayesian Scientific Computing
Inverse problems are closely related to statistical inference problems, where the observations are used to infer on an underlying ...
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Introduction to Empirical Processes and Semiparametric Inference
This book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. ...
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Introduction to Engineering Statistics and Six Sigma
Introduction to Engineering Statistics and Six Sigma contains precise descriptions of all of the many related methods and ...
اقرأ المزيدIntroduction to Mathematical Methods in Bioinformatics
This book looks at the mathematical foundations of the models currently in use. This book is unique in the sense that it ...
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Introduction to the Basic Concepts of Modern Physics : Special Relativity, Quantum and Statistical Physics
These notes are designed as a text book for a course on the Modern Physics Theory for undergraduate students. The purpose ...
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Kernel Methods for Machine Learning with Math and Python : 100 Exercises for Building Logic / Joe Suzuki
Addresses the fundamentals of kernel methods for machine learning by considering relevant math problems and building Python ...
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Knowledge Discovery from XML Documents
The KDXD 2006 (Knowledge Discovery from XML Documents) workshop is the ?rst international workshop running this year in conjunction ...
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Le raisonnement bayésien : Modélisation et inférence = Bayesian reasoning: Modeling and inference
This book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
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Leveraging Applications of Formal Methods, Verification and Validation: Verification Principles : 9th International Symposium on Leveraging Applications of Formal Methods, ISoLA 2020, Rhodes, Greece, October 20–30, 2020, Proceedings, Part I
The three-volume set LNCS 12476 - 12478 constitutes the refereed proceedings of the 9th International Symposium on Leveraging ...
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Linear and Generalized Linear Mixed Models and Their Applications
This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and ...
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Linearization Methods for Stochastic Dynamic Systems
The aim of this book is to give a systematic introduction to and overview of the relatively simple and popular linearization ...
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Long Memory in Economics
When applying the statistical theory of long range dependent (LRD) processes to economics, the strong complexity of macroeconomic ...
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Machine Learning : The Basics / Alexander Jung
Approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting ...
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Machine Learning: ECML 2005
The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery ...
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Mathematical Formulas for Economists
The present collection of formulas has been composed for students of economics or management science at universities, colleges ...
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Mathematical Formulas for Economists
This collection of formulas constitutes a compendium of mathematics for eco nomics and business. It contains the most important ...
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Mathematical Methods in Signal Processing and Digital Image Analysis
The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather ...
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