Bayesian Inference - Recent Trends : Recent Trends

¿Hsan Bucak

ISBN 10: 1837693560 / ISBN 13: 9781837693566

Published by Intechopen, 2024

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - In an era where data is abundant and computational power is soaring, Bayesian Inference - Recent Trends emerges as an essential guide to understanding and applying Bayesian methods in various scientific and technological domains. This book uniquely blends theoretical rigor with practical insights, showcasing the latest advancements and applications of Bayesian inference.¿ Discover the renaissance of Bayesian inference and its vital role in modern-day statistical analysis and prediction.¿ Explore the depth of hidden Markov models and their power in inferring hidden states and transitions in stochastic systems.¿ Dive into the complexity of nested sampling and its effectiveness in parameter estimation, particularly in signal processing.¿ Examine the precision of naive Bayes algorithms in news classification, a critical task in the digital information age.This book is an invaluable resource for anyone interested in the intersection of statistics, machine learning, and data science. It offers a unique perspective on Bayesian inference, revealing its potential to provide robust solutions in an increasingly data-driven world. Whether you are a seasoned researcher, a budding scientist, or a curious enthusiast, Bayesian Inference - Recent Trends is your gateway to understanding and leveraging the power of Bayesian methods in the ever-evolving landscape of data analysis.

Seller Inventory # 9781837693566

Bibliographic Details

• Title: Bayesian Inference - Recent Trends : Recent Trends
• Publisher: Intechopen
• Publication Date: 2024
• Language: English
• ISBN 10: 1837693560
• ISBN 13: 9781837693566
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 11D millimeters 260 millimeters width by 183 millimeters height by 11 millimeters depth
• Weight: 400 grams

About this title

Synopsis

In an era where data is abundant and computational power is soaring, Bayesian Inference - Recent Trends emerges as an essential guide to understanding and applying Bayesian methods in various scientific and technological domains. This book uniquely blends theoretical rigor with practical insights, showcasing the latest advancements and applications of Bayesian inference. • Discover the renaissance of Bayesian inference and its vital role in modern-day statistical analysis and prediction. • Explore the depth of hidden Markov models and their power in inferring hidden states and transitions in stochastic systems. • Dive into the complexity of nested sampling and its effectiveness in parameter estimation, particularly in signal processing. • Examine the precision of naive Bayes algorithms in news classification, a critical task in the digital information age. This book is an invaluable resource for anyone interested in the intersection of statistics, machine learning, and data science. It offers a unique perspective on Bayesian inference, revealing its potential to provide robust solutions in an increasingly data-driven world. Whether you are a seasoned researcher, a budding scientist, or a curious enthusiast, Bayesian Inference - Recent Trends is your gateway to understanding and leveraging the power of Bayesian methods in the ever-evolving landscape of data analysis.