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.