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20222025
most citedHigh-Dimensional Covariate-Augmented Overdispersed Poisson Factor Model

1 citations · 1 across the 8 of their papers we have counts for

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8 papers

math.PR2025

Explicit positivity preserving numerical method for linear stochastic volatility models driven by -stable process

Xiaotong Li, Wei Liu, Xuerong Mao +2

In this paper, we introduce a linear stochastic volatility model driven by -stable processes, which admits a unique positive solution. To preserve positivity, we modify the clas…

q-bio.MN2025

Simple Proofs of the Summation and Connectivity Theorems in Metabolic Control Analysis

Weijiu Liu

In the early 1970s, the Kacser/Burns and the Heinrich/Rapoport groups independently discovered the important summation and connectivity theorems in metabolic control analysis. Thes…

eess.SP2025

Target Localization with a Coprime Multistatic MIMO Radar via Coupled Canonical Polyadic Decomposition Based on Joint EVD

Guo-Zhao Liao, Xiao-Feng Gong, Wei Liu +1

This paper addresses target localization using a multistatic multiple-input multiple-output (MIMO) radar system with coprime L-shaped receive arrays (CLsA). A target localization m…

stat.ME2024

High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model

Wei Liu, Qingzhi Zhong

Factor analysis for high-dimensional data is a canonical problem in statistics and has a wide range of applications. However, there is currently no factor model tailored to effecti…

eess.SY2024

Event-Triggered State Estimation Through Confidence Level

Wei Liu

This paper considers the state estimation problem for discrete-time linear systems under event-triggered scheme. In order to improve performance, a novel event-triggered scheme bas…

stat.ME20241 cited

High-Dimensional Covariate-Augmented Overdispersed Poisson Factor Model

Wei Liu, Qingzhi Zhong

The current Poisson factor models often assume that the factors are unknown, which overlooks the explanatory potential of certain observable covariates. This study focuses on high…