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 ...
AlphaGalileo

Bayesian Spatial Modeling Enhances Precision of Forest Biomass Estimation

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to ...
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.
Risk

Bayesian nonparametric covariance estimation with noisy and nonsynchronous asset prices

The covariance matrix of asset returns is the key input for many problems in finance and economics. This paper introduces a Bayesian nonparametric method to estimate the ex post covariance matrix from ...
lse

Bayesian Machine Learning

This course is available on the MSc in Applied Social Data Science, MSc in Data Science, MSc in Quantitative Methods for Risk Management, MSc in Statistics, MSc in Statistics (Financial Statistics), ...