Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), Vol. 58, No. 2 (Jun., 1996), pp. 283-291 (9 pages) It is well entrenched in Bayesian folklore that the posterior distribution when the ...

The Bayesian method is noted to produce spuriously high posterior probabilities for phylogenetic trees in analysis of large datasets, but the precise reasons for this overconfidence are unknown. In ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

Using the Bayesian posterior distribution of market parameters we define selfadjusting uncertainty regions for the robust mean-variance problem. Under a normal-inverse-Wishart conjugate assumption for ...

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

One of the goals of statistics is to make inferences about population parameters from a limited set of observations. Last month, we showed how Bayes' theorem is used to update probability estimates as ...