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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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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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Sam Efromovich
Survival Analysis

This textbook provides a unified account of estimating the survival function, hazard rate, cumulative hazard, density, regression, conditional distributions, and linear functionals for the current status …

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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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Jordan Smoller, Sylvia Wassertheil-Smoller
Biostatistics and Epidemiology

This book teaches foundations of epidemiological design and statistical methods, as well as including topics applicable to new areas of research. Since the publication of the first edition, Biostatistics …

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Andrea Pascucci
Probability Theory II

This book offers a modern approach to the theory of continuous-time stochastic processes and stochastic calculus. The content is treated rigorously, comprehensively, and independently. In the first part, …

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Steven T. Hackman, Antonius B. Dieker
QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accuratel…

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Eleuterio F. Toro
Computational Algorithms for Shallow Water Equations

This book is a thoroughly revised and enlarged version of ¿Shock-capturing methods for free-surface shallow flows", first published by Wiley and Sons, 2001. The book describes mathematically free-sur…

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Tomasz Rychlik, Narayanaswamy Balakrishnan
Sharp Inequalities for Ordered Random Variables in Statistics and Reliability

The book discusses various inequalities and sharp bounds for the usual order statistics as well as some functions of them. In particular, deterministic bounds, bounds for the case of IID samples from gene…

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Sidney Resnick
The Art of Finding Hidden Risks

This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis. Emphasizing regular variation of measures means theory can be presented systematically and without re…

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Agnes Baran, Gisbert Stoyan
Elementary Numerical Mathematics for Programmers and Engineers

This book covers the basics of numerical methods. Avoiding the definition-theorem-proof style, it instead focuses on numerical examples and simple pseudo-codes.The text begins with a chapter on floating p…

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Frontiers in Computational Fluid-Structure Interaction and Flow Simulation

Computational fluid-structure interaction (FSI) and flow simulation are challenging research areas that bring solution and analysis to many classes of problems in science, engineering, and technology. You…

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Sedentary Behaviour Epidemiology

This book addresses the origins, determinants and magnitude of the global problem of sedentary behaviour, along with concise yet in-depth solutions for tackling it.As a consequence of major technological …

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Anatoliy Swishchuk, Nikolaos Limnios
Discrete-Time Semi-Markov Random Evolutions and Their Applications

This book extends the theory and applications of random evolutions to semi-Markov random media in discrete time, essentially focusing on semi-Markov chains as switching or driving processes. After giving …

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Damiano Rossello
A Cookbook with Probability One

This book offers accessible probabilistic modelling of relevant financial problems. It is divided into two parts. The first part (cookbook) is written by emphasizing the key definitions and theorems witho…

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Constantino Antonio García Martínez, Abraham Otero Quintana, Xosé A. Vila, Arturo José Méndez Penín
Heart Rate Variability Analysis with the R package RHRV

This book introduces readers to the fundamental concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software. HRV re…

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Josafhat Salinas Ruíz, Jose Crossa, Osval Antonio Montesinos López
Introduction to Experimental Designs with PROC GLIMMIX of SAS

In this book, the subject of design and analysis of experiments has been covered in simple language by giving basic concepts of various designs and essential data analysis steps of designed experiments. I…

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Nicolas Privault
Discrete Stochastic Processes

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (…

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Edward C. Waymire, Rabi Bhattacharya
Continuous Parameter Markov Processes and Stochastic Differential Equations

This graduate text presents the elegant and profound theory of continuous parameter Markov processes and many of its applications. The authors focus on developing context and intuition before formalizing …

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Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science¿specifically in continuum physics. It develops the foundations and details a num…

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