This paper presents a concept for a software system called RAIL represen...
We describe a four-level hierarchy mapping both all discrete estimation
...
We define a new class of Bayesian point estimators, which we refer to as...
We describe a Big Data-practical, SQL-implementable algorithm for effici...
Neyman-Scott is a classic example of an estimation problem with a
partia...
Strict Minimum Message Length (SMML) is a statistical inference method w...
We introduce a problem set-up we call the Iterated Matching Pennies (IMP...