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 14.2.2027.

Buch

Andrew Carpent Gelman
Bayesian Workflow Using Stan

Explores the intricate workflows of applied Bayesian statistics, aiming to uncover the tacit knowledge often overlooked in published papers and textbooks. By systematizing the process of Bayesian model de…

sofort lieferbar

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

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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

An Liu, Ming-Min Zhao
Advanced Bayesian Signal Processing

Textbooks in Telecommunication Engineering

This textbook provides a systematical introduction of Bayesian signal processing from Bayesian parameter estimation, factor graph, and message passing to sparse Bayesian inference (compressive sensing). T…

lieferbar innerhalb 2-3 Wochen

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Andrés Ramírez-Hassan
Introduction to Bayesian Econometrics

Introduction to Bayesian Econometrics: A GUIded Toolkit Using R offers a practical, conceptually clear, and computationally accessible pathway into Bayesian data analysis. Designed for readers who wish to…

lieferbar innerhalb 1-2 Wochen

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Andrés Ramírez-Hassan
Introduction to Bayesian Econometrics

This book offers computationally accessible pathway into Bayesian data analysis. Designed for readers who wish to apply Bayesian methods without necessarily investing years in programming, it combines fou…

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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

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Gianluca Baio
Bayesian Models in Health Technology Assessment

Aims at presented a thorough and yet accessible description of the philosophy underlying the Bayesian approach to statistical inference, as specifically applied to the process of health technology assessm…

lieferbar innerhalb 2-3 Wochen

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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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Eliane Regina Rodrigues
Stochastic Models Applied to Air Pollution Studies

Stochastic Models Applied to Air Pollution Studies: A Bayesian Approach offers a comprehensive and accessible guide to the stochastic methods that underpin modern environmental analysis. Grounded in realw…

lieferbar ab 7.2.2027.

Buch

Dani Gamerman, Hedibert F Lopes, Flávio Bambirra Gonçalves
Markov Chain Monte Carlo

Marking a pivotal moment in the evolution of Bayesian inference, this third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the fi…

lieferbar innerhalb 1-2 Wochen

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Dani Gamerman, Hedibert F. Lopes, Flávio Bambirra Gonçalves
Markov Chain Monte Carlo

Marking a pivotal moment in the evolution of Bayesian inference, the third edition of this seminal textbook on Markov Chain Monte Carlo (MCMC) methods reflects the profound transformations in both the fie…

lieferbar innerhalb 2-3 Wochen

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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…

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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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