4 citations · 10 across the 10 of their papers we have counts for
10 papers
Identify local limiting factors of species distribution using min-linear logistic regression
Hongliang Bu, Yunyi Shen
Logistic regression is a commonly used building block in ecological modeling, but its additive structure among environmental predictors often assumes compensatory relationships bet…
Posterior contraction and uncertainty quantification for the multivariate spike-and-slab LASSO
Yunyi Shen, Sameer K. Deshpande
We study the asymptotic properties of Deshpande et al.\ (2019)'s multivariate spike-and-slab LASSO (mSSL) procedure for simultaneous variable and covariance selection in the sparse…
Estimating sparse direct effects in multivariate regression with the spike-and-slab LASSO
Yunyi Shen, Claudia Solís-Lemus, Sameer K. Deshpande
The multivariate regression interpretation of the Gaussian chain graph model simultaneously parametrizes (i) the direct effects of predictors on outcomes and (ii) the resid…
Optimal Second-Order Rates for Quantum Soft Covering and Privacy Amplification
Yu-Chen Shen, Li Gao, Hao-Chung Cheng
We study quantum soft covering and privacy amplification against quantum side information. The former task aims to approximate a quantum state by sampling from a prior distribution…
Strong Converse for Privacy Amplification against Quantum Side Information
Yu-Chen Shen, Li Gao, Hao-Chung Cheng
We establish a one-shot strong converse bound for privacy amplification against quantum side information using trace distance as a security criterion. This strong converse bound im…
CARlasso: An R package for the estimation of sparse microbial networks with predictors
Yunyi Shen, Claudia Solis-Lemus
Microbiome data analyses require statistical tools that can simultaneously decode microbes' reactions to the environment and interactions among microbes. We introduce CARlasso, the…
The Effect of the Prior and the Experimental Design on the Inference of the Precision Matrix in Gaussian Chain Graph Models
Yunyi Shen, Claudia Solis-Lemus
Here, we investigate whether (and how) experimental design could aid in the estimation of the precision matrix in a Gaussian chain graph model, especially the interplay between the…
Bayesian Chain Graph LASSO Models to Learn Sparse Microbial Networks with Predictors
Yunyi Shen, Claudia Solis-Lemus
Microbiome data require statistical models that can simultaneously decode microbes' reaction to the environment and interactions among microbes. While a multiresponse linear regres…
The -Connes-Marcolli Systems
Yunyi Shen
In this paper, we generalize the results of Laca, Larsen, and Neshveyev on the -Connes-Marcolli system to the systems. We introduce the $\mathrm{GL}_…
Motives of Noncommutative Tori
Yunyi Shen
In this article, we propose a way of seeing the noncommutative tori in the category of noncommutative motives. As an algebra, the noncommutative torus is lack the smoothness proper…