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Wahrscheinlichkeiten – Bücher, CDs, LPs und mehr, Seite 7

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Alain Franc
Linear Dimensionality Reduction

Introduction.- 2. Principal Component Analysis (PCA).- 3. Complements on PCA.- 4. PCA with Metrics on Rows and Columns.- 5. Correspondence Analysis.- 6. PCA with Instrumental Variables.- 7. Canonical Corr…

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Dany Cajas
Advanced Portfolio Optimization

This book is an innovative and comprehensive guide that provides readers with the knowledge about the latest trends, models and algorithms used to build investment portfolios and the practical skills nece…

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Jos W. R. Twisk
Basic Principles of Applied Medical Statistics

This book describes the basic principles of medical statistics. Although there are many texts on this topic, this one is different in that it limits the mathematics to an absolute minimum. It will therefo…

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Mike Nguyen
Advanced Modeling and Data Challenges

Missing data. - Variable transformation. - Variable selection. - Hypothesis testing.- Marginal effects. - Mediation.

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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making

This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San José, Costa Rica, July 15--…

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Statistics for Innovation IV

Preface.- Contributed Sessions 3.

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Machine Learning Perspectives of Agent-Based Models

Agent-Based Models and the Economics of Crisis.- The Machine Learning perspective.- Setting up Agent-Based Models of Crisis (Microeconomic Model of Crisis; Virus on a Network Spread Model).- Developing mo…

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Alexander Iksanov, Alexander Marynych, Andrey Pilipenko, Ihor Samoilenko
Locally Perturbed Random Walks

This monograph provides a comprehensive overview of locally perturbed random walks, tools used for their analysis, and current research on their applications. The authors present the material in a self-co…

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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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Sebastian Ani¿a, Vincenzo Capasso, Simone Scacchi
Mathematical Modeling and Control in Life and Environmental Sciences

Part I: Regional Control of Spatially Structured Epidemics.- Regional Control for a Class of Spatially Structured Epidemics.- Controlling the Spread of a Vector-Borne Epidemic: The Case of Malaria.- Part …

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XIV Symposium on Probability and Stochastic Processes

The geometry of the deep linear network.- An introduction to the stochastic heat equation: global existence and blowup.- On the number of crossings in a random labelled tree.- Crossing bridges between per…

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Statistics for Innovation I

Preface.- Plenary Sessions.- Specialized Sessions.- Solicited Sessions.

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Digital Public Health

Part I: Introduction.- Why is it essential to address digital public health in an interdisciplinary way?.- Part II: Theoretical approaches.- Public health in the digital era---digital entry points for pop…

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Statistics, Society and Environment

This volume features a collection of peer-reviewed contributions from the biannual conference organized by the Mexican Statistical Society, held in Cuernavaca, Mexico, from September 27-29, 2023. Statisti…

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Matteo Mazziotta, Adriano Pareto
Statistics for Composite Indicators

This book provides a systematic and integrated approach to construct measures of complex and multidimensional concepts called composite indicators. One of the most pressing needs of scientists and policy …

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Yannik Venohr
Deep Learning in Personalized Music Emotion Recognition

Music has a unique power to evoke strong emotions in us-bringing us to tears, lifting us into ecstasy or triggering vivid memories. Often described as a universal language, it conveys feelings that transc…

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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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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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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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Linda Herkenhoff, John Fogli
Applied Statistics for Business and Management using Microsoft Excel

This book illustrates the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to sol…

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