95 citations · 158 across the 8 of their papers we have counts for
9 papers
Online Bayesian Model Averaging with Joint Uncertainty Quantification for Models and Regression Coefficients in Binary Regression
Joyee Ghosh, Aixin Tan
Streaming binary response data arise in many applications, including virtual learning platforms where student responses are collected sequentially and estimated probabilities of co…
CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
Zhenhan Fang, Aixin Tan, Jian Huang
Density estimation and reliable prediction regions for outputs are crucial in supervised and unsupervised learning. While conformal prediction effectively generates coverage-guaran…
TRACE: Transport Alignment Conformal Prediction via Diffusion and Flow Matching Models
Zhenhan Fang, Aixin Tan, Jian Huang
Constructing valid and informative conformal prediction regions for multi-dimensional outputs remains a fundamental challenge. While conformal prediction provides finite-sample, di…
Fast Markov chain Monte Carlo for high dimensional Bayesian regression models with shrinkage priors
Rui Jin, Aixin Tan
In the past decade, many Bayesian shrinkage models have been developed for linear regression problems where the number of covariates, , is large. Computing the intractable poste…
Estimating standard errors for importance sampling estimators with multiple Markov chains
Vivekananda Roy, Aixin Tan, James M. Flegal
The naive importance sampling estimator, based on samples from a single importance density, can be numerically unstable. Instead, we consider generalized importance sampling estima…
The Gaussian CL Method for Searches of New Physics
X. Qian, A. Tan, J. J. Ling +2
We describe a method based on the CL approach to present results in searches of new physics, under the condition that the relevant parameter space is continuous. Our method rel…