269 citations · 335 across the 12 of their papers we have counts for
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3 papers · 1 filter
stat.CO2018★ 11 cited
An efficient algorithm for sampling from for generating random correlation matrices
Enes Makalic, Daniel F. Schmidt
In this note, we develop a novel algorithm for generating random numbers from a distribution with a probability density function proportional to , and $k \…
stat.ME2018★ 1 cited
A Minimum Message Length Criterion for Robust Linear Regression
Chi Kuen Wong, Enes Makalic, Daniel F. Schmidt
This paper applies the minimum message length principle to inference of linear regression models with Student-t errors. A new criterion for variable selection and parameter estimat…
math.ST2018★ 2 cited
Log-Scale Shrinkage Priors and Adaptive Bayesian Global-Local Shrinkage Estimation
Daniel F. Schmidt, Enes Makalic
Global-local shrinkage hierarchies are an important innovation in Bayesian estimation. We propose the use of log-scale distributions as a novel basis for generating familes of prio…