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Trefferliste "Wahrscheinlichkeitstheorie" - alle Bücher

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Dalia Chakrabarty
Learning in the Absence of Training Data

This book introduces the concept of ¿bespoke learning¿, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable.…

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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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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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Lauren Tilton, Taylor Arnold
Humanities Data in R

This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming language. Methods for general-purpose visualization and analysis are introduced f…

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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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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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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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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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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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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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Janis E. Johnston, Kenneth J. Berry
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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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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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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Walter R. Paczkowski
Predictive and Simulation Analytics

This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore m…

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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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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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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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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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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliabilit…

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