Do Prior Type and Sample Size have Effect on Mixtures of Normal? The Monte Carlo evidence
Ojo O. Oluwadare, Enesi O. Lateifat, Owonipa R. Oluremi
Asian Journal of Probability and Statistics · pp. 60–71 · Published 6 Feb 2021
10.9734/ajpas/2020/v10i430255Abstract
Overtime finite mixtures of Normal in regression have gained popularity and also shown to be useful in modelling heterogeneous data. This study examines the effects of prior and sample size in regression mixtures of Normal models with Bayesian approach. Monte Carlo experiment was carried out on the Normal mixtures model in order to examine the strength of priors and also to know the suitable sample size to produce stable results. Results obtained from the experiment indicate that an informative prior gives a reliable estimate than non-informative prior while large sample sizes maybe needed to obtain stable results.
Cited by 0
No indexed citations yet.
Related research
- Detection of and Adjustment for Multiple Unmeasured Confounding Variables in Logistic Regression by Bayesian Structural Equation Modeling — shares topic coverage
- Bayesian and Frequentist Comparison: An Application to Low Birth Weight Babies in Ghana — shares topic coverage
- Bayesian Approach for Bonus-Malus Systems with Gamma Distributed Claim Severities in Vehicles Insurance — shares topic coverage
- Applications of Vose ModelRisk Software in Simulated Data — shares topic coverage
- Bayesian Analysis of a Shape Parameter of the Weibull-Frechet Distribution — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.