Thema Stochastik – alle Bücher

Wim Stefanus van Ackooij, Welington Luis de Oliveira
Methods of Nonsmooth Optimization in Stochastic Programming

This book presents a comprehensive series of methods in nonsmooth optimization, with a particular focus on their application in stochastic programming and dedicated algorithms for decision-making under un…

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Alireza Amirteimoori, Biresh K. Sahoo, Vincent Charles, Saber Mehdizadeh
Stochastic Benchmarking

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of va…

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Jochen Blath, Marcel Ortgiese, Michael Scheutzow
Stochastische Modelle der Versicherungsmathematik

Mathematik Kompakt

Das Ziel dieses kompakten und einführenden Lehrbuches ist es, im Rahmen des Stoffumfangs einer vierstündigen Mathematikvorlesung wesentliche stochastische Modelle der Versicherungsmathematik systematisch …

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Alex Blumenthal, Lai-Sang Young
Ergodic Theory

Texts in Applied Mathematics - Band 84

Ergodic theory provides a powerful lens for understanding dynamical systems, recasting disordered and seemingly random behavior in the language of probability theory. This book offers a concise, rigorous …

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Guido Boffetta, Angelo Vulpiani
Probability in Physics

UNITEXT for Physics

This textbook aims to bridge a longstanding gap by presenting a rigorous yet physics-centered approach to probability theory and its applications. Despite its foundational role across nearly all areas of …

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Ulu¿ Çapar
A Guide to Generalized Functions

The aim of the present work is to give a unifying treatment of the four faces of the theory of generalized functions -- linear, nonlinear, random and infinite dimensional distributions. The book deals wit…

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Federica Cavicchio
Emotion Detection in Natural Language Processing

Synthesis Lectures on Human Language Technologies

This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (N…

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Nan Chen
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems

Synthesis Lectures on Mathematics & Statistics

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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Geon Ho Choe
Quantitative Methods for Finance with Simulations II

Springer Texts in Business and Economics

This self-contained book is the second of a two-volume set providing a thorough introduction to quantitative finance, covering both theoretical and computational methods.This volume covers numerical metho…

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Micha¿ Chorowski, Tomasz Gubiec, Ryszard Kutner
Anomalous Stochastics

Understanding Complex Systems

This textbook provides a comprehensive exploration of anomalous stochastic processes and extreme events, commonly referred to as "black swans," with a particular focus on (multi-)fractal approac…

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Antonius B. Dieker, Steven T. Hackman
QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

Springer Series in Operations Research and Financial Engineering

This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accuratel…

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Özgün Elçi, John Hooker, Peter Zhang
The Structure of Fair Solutions

Synthesis Lectures on Operations Research and Applications

This book provides a novel and unifying perspective on the structural properties of fair solutions in optimization formulations. The book also addresses a growing interest in incorporating fairness into t…

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Hans Föllmer, Alexander Schied
Stochastic Finance

De Gruyter Textbook

This book provides an introduction to probabilistic methods in finance, based on stochastic models in discrete time. It is aimed primarily at graduate students in mathematics but may also benefit mathemat…

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Jeff Gill, Le Bao
Bayesian Social Science Statistics

This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inf…

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Jeff Gill, Le Bao
Bayesian Social Science Statistics

This Element introduces the basics of Bayesian regression modeling using modern computational tools. This Element only assumes that the reader has taken a basic statistics course and has seen Bayesian inf…

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Adriane Gründers
Math Made Clear: From the Basics to Calculus

This book is your all-in-one guide to understanding mathematics clearly and efficiently. Each page tackles a single, central question with straightforward explanations on the left and practical examples o…

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Ivailo Hartarsky, Cristina Toninelli
Kinetically Constrained Models

SpringerBriefs in Mathematical Physics - Band 53

This book offers an in-depth review of kinetically constrained models (KCMs), a topic that lies at the crossroads of probability and statistical mechanics. KCMs have captivated physicists ever since their…

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Andreas Henking, Christian Bluhm, Ludwig Fahrmeir, Karl Tasch
Kreditrisikomessung

Dieses Buch schließt die Lücke zwischen statistischer Grundlagenliteratur und mathematisch anspruchsvollen Werken zur Modellierung von Kreditrisiken: Ausgehend von den wichtigsten Begriffen zum Kreditrisi…

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Alexander Herzog
Stochastische Produktionsplanung

Studienbücher Wirtschaftsmathematik

Produktions- und Logistikprozesse unterliegen systembedingt verschiedensten Unsicherheiten, die bei der Planung und Optimierung entsprechender Abläufe berücksichtigt werden müssen. Dieses Buch diskutiert …

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Masato Hisakado
Urn Models and Their Applications in Finance

This fascinating book begins with fundamental definitions and notations of urn models before moving on to stochastic processes and applications of urn models in the field of finance. The Pólya urn model i…

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