Bayesian-enhancedDRL – alle Bücher

David A. Hoeflin, Michael Tortorella
Bayesian Thinking

Apply Bayesian analysis to real engineering, science, and business problemsProfessionals facing uncertain data need a complete workflow from problem framing to defensible decisions. Bayesian Thinking: Cas…

lieferbar ab 2.2.2027.

Buch

Nonparametric Bayesian Inference

This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation. Jean-Marie was professor of statistics at University of Louvain…

lieferbar innerhalb 2-3 Wochen

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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…

lieferbar innerhalb 2-3 Wochen

Buch

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…

lieferbar innerhalb 2-3 Wochen

Buch

Donlapark Ponnoprat
Bayesian Regression and Causal Inference

This textbook provides a practical guide to the Bayesian framework for data modeling and causal inference, focusing on model interpretation, diagnostics, and uncertainty quantification. Central to the boo…

lieferbar ab 24.2.2027.

Buch

New Trends in Bayesian Statistics

Springer Proceedings in Mathematics & Statistics - Band 511

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…

lieferbar innerhalb 2-3 Wochen

Buch

Gilbert W. Fellingham, Scott A. Baldwin
An Introduction to Applied Bayesian Methods

An Introduction to Applied Bayesian Methods is a concise yet comprehensive guide designed to help readers master the fundamentals of Bayesian statistical modeling. This book bridges the gap between theory…

lieferbar ab 18.11.2026.

Buch

Gilbert W. Fellingham, Scott A. Baldwin
An Introduction to Applied Bayesian Methods

An Introduction to Applied Bayesian Methods is a concise yet comprehensive guide designed to help readers master the fundamentals of Bayesian statistical modeling. This book bridges the gap between theory…

lieferbar ab 18.11.2026.

Buch

Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala
Bayesian Machine Learning in Quantitative Finance

This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative fi…

lieferbar innerhalb 2-3 Wochen

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Gianluca Baio, Andrea Berardi, Anna Heath, Nathan Green
Bayesian Cost-Effectiveness Analysis with the R package BCEA

Use R!

The book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach. Some relev…

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Noor Muhammad Khan, Ileana Baldi, Maria Vittoria Chiaruttini, Dario Gregori
Classical and Bayesian Statistical Approaches in Infectious Disease Data Analysis

This open access book is a comprehensive guide that delves into the statistical methodologies used in public health and infectious disease surveillance. It contrasts the foundational principles and method…

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Jacques Balayla
Theorems on the Prevalence Threshold and the Geometry of Screening Curves

In Theorems on the Prevalence Threshold and the Geometry of Screening Curves, the author explores the mathematical underpinnings of screening and diagnostic testing, offering a unique and novel perspectiv…

lieferbar innerhalb 2-3 Wochen

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Statistical Outliers and Related Topics

The book is a collection of different aspects of outliers and related topics written by experts. Topics covered include definition of outliers, their sources, consequences, identification, computational a…

lieferbar innerhalb 1-2 Wochen

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Shimin Gong, Dusit Niyato, Bo Gu, Kaibin Huang
Optimization-Driven Deep Reinforcement Learning for Wireless Networks

This book explores the integration and interplay of model-based optimization and model-free deep reinforcement learning (DRL). It addresses the growing complexity of future wireless networks. This book be…

lieferbar innerhalb 2-3 Wochen

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