Some Case Studies Using Bayesian Statistical Models

11/17/2021
by   Juan Sosa, et al.
0

We provide four case studies that use Bayesian machinery to making inductive reasoning. Our main motivation relies in offering several instances where the Bayesian approach to data analysis is exploited at its best to perform complex tasks, such as description, testing, estimation, and prediction. This work is not meant to be either a reference text or a survey in Bayesian statistical inference. Our goal is simply to provide several examples that use Bayesian methodology to solve data-driven problems. The topics we cover here, include problems in Bayesian nonparametrics, Bayesian analysis of times series, and Bayesian analysis of spatial data.

READ FULL TEXT
research
06/21/2023

Bayesian Analysis for Social Science Research

In this manuscript, we discuss the substantial importance of Bayesian re...
research
05/28/2021

A new Bayesian discrepancy measure

A Bayesian Discrepancy Test (BDT) is proposed to evaluate the distance o...
research
12/20/2021

A Review of Bayesian Modelling in Glaciology

Bayesian methods for modelling and inference are being increasingly used...
research
10/08/2020

Statistical Models for the Analysis of Optimization Algorithms with Benchmark Functions

Frequentist statistical methods, such as hypothesis testing, are standar...
research
06/08/2020

Cointegration and unit root tests: A fully Bayesian approach

To perform statistical inference for time series, one should be able to ...
research
06/03/2022

Approximate confidence distribution computing

Approximate confidence distribution computing (ACDC) offers a new take o...
research
03/18/2019

Short Datathon for the Interdisciplinary Development of Data Analysis and Visualization Skills

Understanding the major fraud problems in the world and interpreting the...

Please sign up or login with your details

Forgot password? Click here to reset