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Franz Chouly
Finite Element Approximation of Boundary Value Problems

This textbook provides an accessible introduction to the mathematical foundations of the finite element method for a broad audience. The author accomplishes this, in part, by including numerous exercises …

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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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Daniel Sorensen
Statistical Learning in Genetics

This book provides an introduction to computer-based methods for the analysis of genomic data. Breakthroughs in molecular and computational biology have contributed to the emergence of vast data sets, whe…

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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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Biostatistics Modeling and Public Health Applications

This book provides an overview and compilation of contemporary topics and innovative approaches in biostatistical modeling through their applications to evidence-based public health research and decision-…

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Recent Advances in Econometrics and Statistics

This volume presents a unique collection of original research contributions by leading experts in several modern fields of econometrics and statistics, including high-dimensional, nonparametric and robust…

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Giovanni Cerulli
Fundamentals of Supervised Machine Learning

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applicati…

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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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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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Daniel Goodair, Dan Crisan
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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New Trends in Shape Modelling and Approximation Methods

This book presents recent research results from a selection of the talks presented in the international symposium ¿New Trends in Approximation and Applications¿, held at Oujda, Morocco, in June 2022. The …

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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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Katarína Furmanová, Barbora Kozlíková, Renata Georgia Raidou, M. Eduard Gröller
BioMedical Visualization

This book provides an overview of the many visualization strategies that have been proposed in recent decades for solving problems within the disciplines of medicine and biology. It also evaluates which v…

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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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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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Time Series and Wavelet Analysis

Prof. Pedro A. Morettin is a Distinguished Professor of Statistics at the Institute of Mathematics and Statistics of the University of São Paulo (IME-USP), where he has built an academic career spanning a…

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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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Emma Horton, Andreas E. Kyprianou
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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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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Kenneth J. Berry, Janis E. Johnston
Statistical Methods: Connections, Equivalencies, and Relationships

The primary purpose of this book is to introduce the reader to a wide variety of interesting and useful connections, relationships, and equivalencies between and among conventional and permutation statist…

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