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10/29/2022
Te Test: A New Non-asymptotic T-test for Behrens-Fisher Problems
The Behrens-Fisher Problem is a classical statistical problem. It is to ...
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09/11/2021
Propensity Score Adapted Covariate Selection for Causal Inference
In this paper, we propose a propensity score adapted variable selection ...
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09/11/2021
Variance Reduction for Causal Inference
Propensity score methods have been shown to be powerful in obtaining eff...
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05/02/2021
Directional FDR Control for Sub-Gaussian Sparse GLMs
High-dimensional sparse generalized linear models (GLMs) have emerged in...
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12/09/2017
Elastic-net regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signals Detection
We study sparse high-dimensional negative binomial regression problem fo...
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03/04/2013
Supplement to "Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs"
This supplementary material includes three parts: some preliminary resul...
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11/22/2012
On pattern recovery of the fused Lasso
We study the property of the Fused Lasso Signal Approximator (FLSA) for ...
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09/26/2012
Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs
Graphical models are popular statistical tools which are used to represe...
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11/03/2010
