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Dmitrii Legatiuk
Mathematical Modelling by Help of Category Theory

This monograph offers a novel structural perspective on the modelling of engineering problems, utilizing abstract mathematics in the form of category theory.Specifically, the book aims to enhance the unde…

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Chafik Samir, Ines Adouani
Regression and Fitting on Manifold-valued Data

This book introduces in a constructive manner a general framework for regression and fitting methods for many applications and tasks involving data on manifolds. The methodology has important and varied a…

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Statistical Modeling Using Bayesian Latent Gaussian Models

This book focuses on the statistical modeling of geophysical and environmental data using Bayesian latent Gaussian models. The structure of these models is described in a thorough introductory chapter, wh…

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Mathematics for Sustainable Industry

This volume gathers selected, peer-reviewed contributions presented at the 5th International Seminar on Mathematics in Industry -- ISMI2024, held on September 9-11, 2024 in Kuala Lumpur, Malaysia. Article…

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Biostatistics in Biopharmaceutical Research and Development

The Deming Conference on Applied Statistics has long been deemed an influential event in the biostatistics and biopharmaceutical profession. It provides learning experience on recent developments in stati…

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Francesca Gasperoni, Anna Maria Paganoni, Francesca Ieva
Exercise Book of Statistical Inference

This book was created with the goal of helping students transition from the theoretical and methodological concepts of statistical inference to their implementation on a computer. The first part of the bo…

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Giacomo Ascione, Yuliya Mishura, Enrica Pirozzi
Fractional Deterministic and Stochastic Calculus

Fractional calculus has emerged as a powerful and effective mathematical tool in the study of several phenomena in science and engineering. This text addressed to researchers, graduate students, and pract…

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Maria Rizzo, Jim Albert
R by Example

Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functio…

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Séminaire de Probabilités LII

The last! This volume closes the Séminaire de Probabilités, a long and rich series that started in 1966 under the name Séminaire de Probabilités de Strasbourg. In addition to a tribute to our colleague Do…

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Stefan Geiss, Hannah Geiss
Measure, Probability and Functional Analysis

This textbook offers a self-contained introduction to probability, covering all topics required for further study in stochastic processes and stochastic analysis, as well as some advanced topics at the in…

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Mai Duc Thanh, Philippe G. Lefloch
The Riemann Problem in Continuum Physics

This monograph provides a comprehensive study of the Riemann problem for systems of conservation laws arising in continuum physics. It presents the state-of-the-art on the dynamics of compressible fluids …

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Stefan Schäffler
Mathematics of Information

Starting with the Shannon-Wiener approach to mathematical information theory, allowing a mathematical "measurement" of an amount of information, the book begins by defining the terms message and…

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Matthew R. Schofield, George A. F. Seber
Estimating Presence and Abundance of Closed Populations

This comprehensive book covers a wide variety of methods for estimating the sizes and related parameters of closed populations. With the effect of climate change, and human territory invasion, we have see…

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Ronald T. Kneusel
Numbers and Computers

Computers are, fundamentally, number manipulators. Therefore, developers, engineers, and scientists must understand how computers represent and operate on numbers.The revised and updated third edition of …

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Sinho Chewi, Philippe Rigollet, Jonathan Niles-Weed
Statistical Optimal Transport

This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning. It is primarily tailored for students and researcher…

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Jochen Ziegenbalg
Algorithmik Eine universelle Methode im Überblick

Dieses essential zeigt aus einer allgemeinbildenden und allgemeinverständlichen Perspektive, wie universell und bedeutend die algorithmische Methode ist. Es beleuchtet dabei sowohl die historischen Anfäng…

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George J. Knafl
Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling

This book formulates methods for modeling continuous and categorical correlated outcomes that extend the commonly used methods: generalized estimating equations (GEE) and linear mixed modeling. Partially …

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Computing Technologies and Applied Mathematics

This proceedings volume convenes revised, selected works presented at the 3rd International Seminar on Computing Technologies and Applied Mathematics (CTAM2024), held at Komsomolsk-na-Amure State Universi…

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Statistical Modelling and Risk Analysis

This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional …

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Nan Chen
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems

This second edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools. Expanding upon the original book, the author covers …

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