Uncertainty modeling decision making (24 Ergebnisse)

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Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingUnlock the power of Bayesian methods and probabilistic programming with this clear, practical guide designed for data scientists, statisticians, and analysts working in R.This book bridges the gap between theory and real-world application by teaching you how to build, fit, and interpret hierarchical Bayesian models using Stan, the leading platform for probabilistic programming. Through hands-on examples and intuitive explanations, you'll learn how to effectively quantify uncertainty, make robust inferences, and support better decision-making under complexity.What You'll Learn: - The fundamentals of Bayesian modeling and why it outperforms traditional frequentist approaches in many modern applications- How to construct and diagnose hierarchical models for grouped, nested, and multilevel data- Practical workflows for probabilistic programming with Stan and R- Techniques for uncertainty quantification and propagation through complex models- Model comparison, validation, and communication of results for stakeholdersWritten for intermediate to advanced R users, this guide emphasizes code you can immediately apply to your own projects, whether in research, industry, or academia. Each chapter combines conceptual clarity with reproducible examples, helping you move confidently from basic Bayesian concepts to sophisticated modeling techniques.If you want to move beyond point estimates and p-values toward a more principled, uncertainty-aware approach to data analysis and decision making, this book provides the practical foundation you need.Perfect for: Data scientists, quantitative researchers, statisticians, and R programmers looking to master modern Bayesian workflows.…

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Taschenbuch. Zustand: Neu. Neuware - Reactive PublishingIn an era where financial markets are driven by noise, complexity, and uncertainty, Bayesian Methods for Quantitative Finance delivers a decisive framework for navigating volatility with confidence. This authoritative guide redefines modern financial modeling through the Bayesian lens, empowering traders, analysts, and quants to make smarter, adaptive decisions in uncertain environments.Unravel the mechanics behind belief updating, posterior inference, and probabilistic modeling as you explore hands-on applications in risk modeling, asset pricing, portfolio optimization, and algorithmic trading. Whether you're recalibrating macroeconomic assumptions or building real-time market prediction engines, Bayesian thinking provides a mathematically rigorous yet intuitive path to clarity.From hierarchical models to Monte Carlo simulations, this book bridges theory and practice with advanced Python examples and real-world use cases. Equip yourself with the tools to not just analyze data-but learn from it.…

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Taschenbuch. Zustand: Neu. Optimal Decision-Making for Catastrophic Earthquakes | Seismic hazard modeling, loss estimation, and decision-making under uncertainty | Katsuichiro Goda | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639138962 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Paperback. Zustand: Brand New. 520 pages. 10.00x7.00x10.00 inches. In Stock.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2023-06 Pages: 172 Publisher: Science Press Granular computing simulates the cognitive thinking rules of the human brain to improve the efficiency of solving complex problems. and has played an important role in the field of intelligent information processing. This book focuses on studying uncertainty problems from a multi-granularity perspective. From the perspectives of multi-granularity modeling and decision-making. the structural characteristics of mu.…

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book systematically explores theories related to linguistic computational models and group decision making methods under uncertainty. It introduces innovative linguistic computational models capable of fusing complex linguistic information, including multi-granular linguistic information, unbalanced linguistic information and hesitant fuzzy linguistic information. Building upon the linguistic computational models, this book presents methods tailored to various types of group decision making problems under uncertainty. Additionally, it delves into group decision making problems where the personalized individual semantics of experts are considered. The book also showcases practical applications of the proposed group decision making methods, ranging from ERP system supplier selection to talent recruitment, subway line selection, and location selection for electric vehicle charging stations. By shedding light on novel models for modeling complex linguistic information and introducing new approaches to addressing linguistic group decision making challenges, this book offers valuable insights for engineers, researchers, and postgraduates interested in decision analysis, operations research, computational intelligence, management science and engineering, and related fields.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book systematically explores theories related to linguistic computational models and group decision making methods under uncertainty. It introduces innovative linguistic computational models capable of fusing complex linguistic information, including multi-granular linguistic information, unbalanced linguistic information and hesitant fuzzy linguistic information. Building upon the linguistic computational models, this book presents methods tailored to various types of group decision making problems under uncertainty. Additionally, it delves into group decision making problems where the personalized individual semantics of experts are considered. The book also showcases practical applications of the proposed group decision making methods, ranging from ERP system supplier selection to talent recruitment, subway line selection, and location selection for electric vehicle charging stations. By shedding light on novel models for modeling complex linguistic information and introducing new approaches to addressing linguistic group decision making challenges, this book offers valuable insights for engineers, researchers, and postgraduates interested in decision analysis, operations research, computational intelligence, management science and engineering, and related fields.…

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Hardcover. Zustand: Brand New. 520 pages. 10.00x7.00x1.36 inches. In Stock.

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