32 citations · 115 across the 16 of their papers we have counts for
5 papers · 1 filter
Elastic-net Regularized High-dimensional Negative Binomial Regression: Consistency and Weak Signals Detection
Huiming Zhang, Jinzhu Jia
We study a sparse negative binomial regression (NBR) for count data by showing the non-asymptotic advantages of using the elastic-net estimator. Two types of oracle inequalities ar…
Supplement to "Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs"
Yangbo He, Jinzhu Jia, Bin Yu
This supplementary material includes three parts: some preliminary results, four examples, an experiment, three new algorithms, and all proofs of the results in the paper "Reversib…
On pattern recovery of the fused Lasso
Junyang Qian, Jinzhu Jia
We study the property of the Fused Lasso Signal Approximator (FLSA) for estimating a blocky signal sequence with additive noise. We transform the FLSA to an ordinary Lasso problem.…
Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs
Yangbo He, Jinzhu Jia, Bin Yu
Graphical models are popular statistical tools which are used to represent dependent or causal complex systems. Statistically equivalent causal or directed graphical models are sai…
The Lasso under Heteroscedasticity
Jinzhu Jia, Karl Rohe, Bin Yu
The performance of the Lasso is well understood under the assumptions of the standard linear model with homoscedastic noise. However, in several applications, the standard model do…