2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.IT2024
Asymptotically Minimax Regret by Bayes Mixtures
Jun'ichi Takeuchi, Andrew R. Barron
We study the problems of data compression, gambling and prediction of a sequence from an alphabet , in terms of regret and expected regret (redundancy)…
cs.IT2023
Improved MDL Estimators Using Fiber Bundle of Local Exponential Families for Non-exponential Families
Kohei Miyamoto, Andrew R. Barron, Jun'ichi Takeuchi
Minimum Description Length (MDL) estimators, using two-part codes for universal coding, are analyzed. For general parametric families under certain regularity conditions, we introd…
math.ST2013★ 2 cited
Contribution to the theory of Pitman estimators
Abram M. Kagan, Tinghui Yu, Andrew Barron +1
New inequalities are proved for the variance of the Pitman estimators (minimum variance equivariant estimators) of θconstructed from samples of fixed size from populations F(x-θ).…