Bayesian Inference
Dublin Core
Title
Bayesian Inference
Subject
Probability and statistics
Description
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.
Creator
İhsan Ömür Bucak
Source
https://intech-files.s3.amazonaws.com/a043Y00000yJC5bQAG/0014483_Authors_Book%20%282024-01-25%2010%3A25%3A46%29.pdf
Publisher
IntechOpen
Date
2024
Contributor
Mustabsyirah
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
İhsan Ömür Bucak, “Bayesian Inference,” Open Educational Resource (OER) - USK Library, accessed September 18, 2026, https://oer.usk.ac.id/items/show/10032.

