Wahrscheinlichkeit – Bücher, CDs, LPs und mehr, Seite 8

Yury A. Kutoyants
Hidden Markov Processes and Adaptive Filtering

1 Auxiliary Result.- 2 Small Noise in Both Equations.- 3 Small Noise in Observations.- 4 Hidden Ergodic O-U process.- 5 Hidden Telegraph Process.- 6 Hidden AR Process.- 7 Source Localization.

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Active Particles, Volume 4

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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Mathematical Modeling in Physical Sciences

Springer Proceedings in Mathematics & Statistics - Band 446

This volume gathers selected papers presented at the ICMSQUARE 2023 - 12th International Conference on Mathematical Modeling in Physical Sciences held in Belgrade, Serbia from August 28-31, 2023. This pro…

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New Frontiers in Statistics and Data Science

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). It covers a wide range of cutting-edge topics in both t…

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Likelihood Ratio Tests and Related Topics in Multivariate Analysis

This book of selected works exhibits a significant part of Carlos A. Coelho's research activity in multivariate statistics, focusing on topics related to likelihood ratio tests. After two introductory cha…

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New Trends in Bayesian Statistics

By integrating cutting-edge statistical research with diverse applications, this book serves as both a reference and an inspiration for those interested in advancing Bayesian methodologies. This volume br…

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

Frontiers in Mathematics

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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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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Fuad Aleskerov, Olga Khutorskaya, Anna Stepochkina, Vyacheslav Yakuba
Bibliometric Analysis by Network Models

The book contains new models of bibliometric analysis based on centrality measures in network analysis, pattern analysis and stability analysis. A distinctive feature of these centrality measures is that …

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Recent Developments in Stochastic Numerics and Computational Finance

ICIAM2023 Springer Series - Band 6

This book presents a collection of recent advances in stochastic numerical analysis and computational finance. Stochastic numerical methods have played a pivotal role in probability theory, statistics, an…

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Pawe¿ Lorek, Tomasz Rolski
Lectures on Monte Carlo Theory

Chapter 1. Introduction.- Chapter 2. The theory of generators.- Chapter 3. Generating random variables.- Chapter 4. Simulation Output Analysis: Independent Replications.- Chapter 5. Variance Reduction Tec…

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Statistics Today

Society, Environment and Statistics

This book offers a broad selection of statistical applications to everyday situations, illustrating how exciting and diverse statistical analysis can be. It covers a wide variety of topics, including offe…

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Boris Vexler, Dominik Meidner
Numerical Analysis for Elliptic Optimal Control Problems

This book presents a systematic approach to the numerical analysis of several carefully selected classes of optimal control problems governed by elliptic partial differential equations (PDEs). A priori er…

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Estimands in Clinical Trials

Springer Series in Pharmaceutical Statistics

This book provides a comprehensive, up-to-date, and practical introduction to the estimand framework and its application in clinical trials. Since its introduction by the International Council for Harmoni…

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Mathematical and Computational Modelling, Approximation and Simulation

SEMA SIMAI Springer Series - Band 41

This book is devoted to the proceedings of the Second International Conference on Mathematical and Computational Modeling, Approximation and Simulation (MACMAS 2023) which was held from May 29 to June 1, …

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