JSTOR Daily

On the Comparative Performance of Bayesian and Classical Point Estimators under Asymmetric Loss

Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 64, No. 3 (Dec., 2002), pp. 239-266 (28 pages) A comparison between Bayes and classical estimators was executed by Samaniego and ...
Nature

Bayesian Estimation and Maximum Likelihood Methods

Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...
JSTOR Daily

Bayes Linear Estimators for Randomized Response Models

Bayes linear estimators provide simple Bayesian methods and require a minimum of prior specification. In this article, Bayes linear estimators are derived for a variety of randomized response models.
Nature

Bayesian Predictive Density Estimation

Bayesian predictive density estimation represents a cornerstone of modern statistical inference by integrating prior knowledge with observed data to produce a predictive distribution for future ...
Insurancenewsnet.com

Research from Towson University Provides New Study Findings on Risk Management (Bayesian Inference for the Loss Models via Mixture Priors): Insurance – Risk Management

2023 SEP 19 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- New research on risk management is the subject of a new report. According to news originating from Towson, ...
Risk

Robust calibration of financial models using Bayesian estimators

The authors consider a general calibration problem for derivative pricing models, which they reformulate into a Bayesian framework to attain posterior distributions for model parameters. They then ...