International Monetary Fund

Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods

Bayesian Model Averaging (BMA) provides a coherent mechanism to address the problem of model uncertainty. In this paper we extend the BMA framework to panel data models where the lagged dependent ...
JSTOR Daily

Bayesian Networks Model Averaging for Bes Indicators

Social Indicators Research, Vol. 151, No. 3 (October 2020), pp. 897-919 (23 pages) The measure of the equitable and sustainable well-being (Bes) is of growing interest in the last years. The National ...
International Monetary Fund

Limited Information Bayesian Model Averaging for Dynamic Panels with An Application to a Trade Gravity Model

This paper extends the Bayesian Model Averaging framework to panel data models where the lagged dependent variable as well as endogenous variables appear as regressors. We propose a Limited ...
JSTOR Daily

Merging Seasonal Rainfall Forecasts from Multiple Statistical Models through Bayesian Model Averaging

ABSTRACT Merging forecasts from multiple models has the potential to combine the strengths of individual models and to better represent forecast uncertainty than the use of a single model. This study ...
Nature

Bayesian Prediction and Modeling in Clinical Trials

Bayesian prediction and modeling have emerged as transformative tools in the design and management of clinical trials. By integrating prior knowledge with accumulating trial data, Bayesian methods ...