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Probability and Statistical Models in Operations Research, Computer and Management Sciences

This book explores the convergence of stochastic modeling, reliability tools, and the quest for solutions in an era of globalized challenges. The tools have become only more important in the unforeseen em…

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Hang Lee
Foundations of Applied Statistical Methods

This book covers methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate…

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Dan Crisan, Daniel Goodair
Stochastic Calculus in Infinite Dimensions and SPDEs

Introducing a groundbreaking framework for stochastic partial differential equations (SPDEs), this work presents three significant advancements over the traditional variational approach.Firstly, Stratonov…

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Eduardo Sánchez-García, Bartolomé Marco-Lajara, Luis A. Millán-Tudela, Javier Martínez-Falcó
Sustainable Management Through Knowledge and Innovation

This book explores multiple types of innovation within the modern wine industry and how it has developed historically.The book provides and extensive examination of the existing knowledge in this subject.…

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Learning and Intelligent Optimization

This book constitutes the refereed proceedings of the 18th International Conference on Learning and Intelligent Optimization, LION 18, held in Ischia Island, Italy, in June 2024.The 31 full papers and 4 s…

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Guillaume Mercère
Data Driven Model Learning for Engineers

The main goal of this comprehensive textbook is to cover the core techniques required to understand some of the basic and most popular model learning algorithms available for engineers, then illustrate th…

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Andreas E. Kyprianou, Emma Horton
Stochastic Neutron Transport

This monograph highlights the connection between the theory of neutron transport and the theory of non-local branching processes. By detailing this frequently overlooked relationship, the authors provide …

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A³N²M: Approximation, Applications, and Analysis of Nonlocal, Nonlinear Models

This volume collects papers based on plenary and invited talks given at the 50th Barrett Memorial Lectures on Approximation, Applications, and Analysis of Nonlocal, Nonlinear Models that was organized by …

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Potter C. Chang
Data Analysis of Medical Studies

This book is written for the many health professionals who are regularly frustrated by elegant but ambiguous descriptions of results of data analysis. It uses articles of the New England Journal of Medici…

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Sebastian Ani¿a, Simone Scacchi, Vincenzo Capasso
Mathematical Modeling and Control in Life and Environmental Sciences

This monograph explores the use of mathematical modeling and control theory in a variety of contemporary challenges in mathematical biology and environmental sciences. Emphasizing an approach of learning …

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Johannes Lederer
A First Course in Statistical Learning

This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from be…

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Approximation and Online Algorithms

This book constitutes the refereed proceedings of the 22nd International Workshop on Approximation and Online Algorithms, WAOA 2024, held in Egham, UK, during September 5-6, 2024.The 15 full papers includ…

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Sidney A. Morris
Calculating Chance: Card and Casino Games

This book offers a gentle yet rigorous introduction to probability theory, with a special focus on finite probability spaces. Drawing inspiration from card games, casino games, mahjong, and two-up, it als…

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Stephen S. -T. Yau, Xiuqiong Chen, Yangtianze Tao, Jiayi Kang
Principles of Nonlinear Filtering Theory

This text presents a comprehensive and unified treatment of nonlinear filtering theory, with a strong emphasis on its mathematical underpinnings. It is tailored to meet the needs of a diverse readership, …

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Peter E. Caines, David Levanony
Stochastic Lagrangian Adaptation

This book introduces a cutting-edge continuous time stochastic linear quadratic (LQ) adaptive control algorithm for fully observed linear stochastic systems with unknown parameters. The adaptive estimatio…

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Numerical Geometry, Grid Generation and Scientific Computing

This volume presents a selection of papers presented at the 11th International Conference on Numerical Geometry, Grid Generation, and Scientific Computing held December 12-14, 2022 in memory of Sergei Ale…

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Advances in Machine Learning and Big Data Analytics I

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a referenc…

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Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science

This book presents a unique collection of contributions on modern methods and applications in three key areas of statistics, celebrating the significant work of Wolfgang Schmid in this field. It is struct…

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Wolfgang Karl Härdle, Matthias R. Fengler, Léopold Simar
Applied Multivariate Statistical Analysis

Now in its sixth edition, this textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. Each chapter features hands-on ex…

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Henning Omre, Ole Bernhard Forberg, Torstein M. Fjeldstad
Bayesian Spatial Modelling with Conjugate Prior Models

This book offers a comprehensive overview of statistical methodology for modelling and evaluating spatial variables useful in a variety of applications. These spatial variables fall into three categories:…

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