research
∙
03/21/2022
Strong posterior contraction rates via Wasserstein dynamics
In this paper, we develop a novel approach to posterior contractions rat...
share
research
∙
01/28/2022
Wasserstein posterior contraction rates in non-dominated Bayesian nonparametric models
Posterior contractions rates (PCRs) strengthen the notion of Bayesian co...
research
∙
09/20/2021
The power of private likelihood-ratio tests for goodness-of-fit in frequency tables
Privacy-protecting data analysis investigates statistical methods under ...
research
∙
02/08/2021
Learning-augmented count-min sketches via Bayesian nonparametrics
The count-min sketch (CMS) is a time and memory efficient randomized dat...
research
∙
02/07/2021
A Bayesian nonparametric approach to count-min sketch under power-law data streams
The count-min sketch (CMS) is a randomized data structure that provides ...
research
∙
11/29/2020
A new approach to posterior contraction rates via Wasserstein dynamics
This paper presents a new approach to the classical problem of quantifyi...
research
∙
09/23/2019
On uniform continuity of posterior distributions
In the setting of dominated statistical models, we provide conditions yi...
research
∙
02/05/2018