activity
20172023
most citedOn the Identifiability of Diagnostic Classification Models

54 citations · 67 across the 14 of their papers we have counts for

collaborators
Showing stat.MEShow all

6 papers · 1 filter

stat.ME2022

Best Subset Selection with Efficient Primal-Dual Algorithm

Shaogang Ren, Guanhua Fang, Ping Li

Best subset selection is considered the `gold standard' for many sparse learning problems. A variety of optimization techniques have been proposed to attack this non-convex and NP-…

stat.ME2022★ 1 cited

Regression with Label Permutation in Generalized Linear Model

Guanhua Fang, Ping Li

The assumption that response and predictor belong to the same statistical unit may be violated in practice. Unbiased estimation and recovery of true label ordering based on unlabel…

stat.ME2022

Offline Change Detection under Contamination

Sujay Bhatt, Guanhua Fang, Ping Li

In this work, we propose a non-parametric and robust change detection algorithm to detect multiple change points in time series data under contamination. The contamination model is…

stat.ME2020

Group Network Hawkes Process

Guanhua Fang, Ganggang Xu, Haochen Xu +2

In this work, we study the event occurrences of individuals interacting in a network. To characterize the dynamic interactions among the individuals, we propose a group network Haw…

stat.ME2019★ 3 cited

A Latent Topic Model with Markovian Transition for Process Data

Haochen Xu, Guanhua Fang, Zhiliang Ying

We propose a latent topic model with a Markovian transition for process data, which consist of time-stamped events recorded in a log file. Such data are becoming more widely availa…

stat.ME2019★ 7 cited

Latent Theme Dictionary Model for Finding Co-occurrent Patterns in Process Data

Guanhua Fang, Zhiliang Ying

Process data, temporally ordered categorical observations, are of recent interest due to its increasing abundance and the desire to extract useful information. A process is a colle…