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Ulrich Matter
An Introduction to Web Mining

Use R!

This book is devoted to the art and science of web mining --- showing how the world's largest information source can be turned into structured, research-ready data. Drawing on many years of teaching gradu…

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Statistical Models and Learning Methods for Complex Data

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data …

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Buch

Michael Griebel, Peter Oswald
Hilbert Space Splittings and Iterative Methods

Springer Series in Computational Mathematics - Band 62

This book is about the theory of so-called Schwarz methods for solving variational problems in a Hilbert space V arising from linear equations and their associated quadratic minimization problems. Schwarz…

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Yury A. Kutoyants
Hidden Markov Processes and Adaptive Filtering

Springer Series in Statistics

This book is devoted to the problem of adaptive filtering for partially observed systems depending on unknown parameters. Adaptive filters are proposed for a wide variety of models: Gaussian and condition…

lieferbar innerhalb 2-3 Wochen

Buch

Ilija Barukcic
Theoriae causalitatis principia mathematica

Dive into a treasure trove of knowledge with over 1,332 equations, 34 detailed figures, and 81 comprehensive tables. Perfect for students, researchers, and enthusiasts seeking clarity and precision. This …

lieferbar innerhalb 2-3 Wochen

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Tsung-Wu Ho
Time Series Forecasting using Machine Learning

Preface.- Chapter 1 Time Series Basics in R.- Chapter 2 Predictive Time Series Modelling.- Chapter 3 Forecasting using Machine Learning Methods.- Chapter 4 Special Topics.- Chapter 5 Predictive Case Studi…

lieferbar innerhalb 2-3 Wochen

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Active Particles, Volume 4

Modeling and Simulation in Science, Engineering and Technology

This edited volume collects nine surveys that present the state-of-the-art in modeling, qualitative analysis, and simulation of active particles, focusing on specific applications in the natural sciences.…

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Hai-Dang Nguyen, George Yin, Chao Zhu
Hybrid Switching Diffusions

This thoroughly revised and expanded edition presents a comprehensive study of hybrid switching diffusion processes and their wide-ranging applications. These processes, which combine continuous dynamics …

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Buch

Wilfredo Urbina-Romero, Ricardo Rios
An Introduction to the Modern Martingale Theory and Applications

Texts in Applied Mathematics - Band 81

Martingale theory is a cornerstone of modern probability, offering a natural extension of the study of sums of independent random variables. Although its roots can be traced back to the work of Paul Lévy …

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Giorgio Picci
An Introduction to Statistical Data Science

This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data. Aime…

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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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Numerical Geometry, Grid Generation and Scientific Computing

Lecture Notes in Computational Science and Engineering - Band 152

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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Stochastic Geophysical Fluid Dynamics

Oberwolfach Seminars - Band 55

This book is based on an Oberwolfach Seminar, and it intends to give an introduction and an overview to several directions of the recent research on stochastic geophysical fluid dynamics and to discuss di…

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Umberto Michelucci
Statistics for Scientists

This book offers researchers and practitioners a concise and accessible guide to the essential concepts in statistics, emphasizing their proper application. It encourages readers to delve deeper into the …

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Buch

Daniel Sorensen
Statistical Learning in Genetics

Statistics for Biology and Health

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…

lieferbar innerhalb 2-3 Wochen

Buch

Thomas Mikosch, Olivier Wintenberger
Extreme Value Theory for Time Series

Springer Series in Operations Research and Financial Engineering

This book deals with extreme value theory for univariate and multivariate time series models characterized by power-law tails. These include the classical ARMA models with heavy-tailed noise and financial…

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Arvid Naess
Applied Extreme Value Statistics

This book does not focus solely on asymptotic extreme value distributions. In addition to the traditional asymptotic methods, it introduces a data-driven, computer-based method, which provides insights in…

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Buch

Mamikon S. Ginovyan
Random Toeplitz Functionals and Their Applications

Frontiers in Probability and the Statistical Sciences

Introduction and Overview.- 2. Preliminaries.- 3. The Model: Second-Order (Weakly) Stationary Processes.- 4. The Trace Problem for Toeplitz Matrices and Operators.- 5. Central Limit Theorems for Random To…

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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…

lieferbar innerhalb 2-3 Wochen

Buch

Pawe¿ Lorek, Tomasz Rolski
Lectures on Monte Carlo Theory

Probability Theory and Stochastic Modelling - Band 108

This book presents a broad range of computational techniques based on repeated random sampling, widely known as Monte Carlo methods and sometimes as stochastic simulation. These methods bring together ide…

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Buch

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