research
∙
10/19/2022
BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models
Two linearly uncorrelated binary variables must be also independent beca...
share
research
∙
04/04/2022
Scalable Spike-and-Slab
Spike-and-slab priors are commonly used for Bayesian variable selection,...
research
∙
06/10/2021
Are We There Yet? Big Data Significantly Overestimates COVID-19 Vaccination in the US
Public health efforts to control the COVID-19 pandemic rely on accurate ...
research
∙
10/17/2020
A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Trade-off
Transitional inference is an empiricism concept, rooted and practiced in...
research
∙
08/28/2020
Double Happiness: Enhancing the Coupled Gains of L-lag Coupling via Control Variates
The recently proposed L-lag coupling for unbiased MCMC <cit.> calls for ...
research
∙
08/24/2020
Congenial Differential Privacy under Mandated Disclosure
Differentially private data releases are often required to satisfy a set...
research
∙
06/16/2019
Designing Test Information and Test Information in Design
DeGroot (1962) developed a general framework for constructing Bayesian m...
research
∙
12/24/2017
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss, and Simpson's Paradox
Statistical learning using imprecise probabilities is gaining more atten...
research
∙
11/26/2017
Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage
Calibration data are often obtained by observing several well-understood...
research
∙
11/23/2017