activity
20122022
most citedEstimation for an additive growth curve model with orthogonal design matrices

8 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2022

A Flexible and Parsimonious Modelling Strategy for Clustered Data Analysis

Tao Huang, Youquan Pei, Jinhong You +1

Statistical modelling strategy is the key for success in data analysis. The trade-off between flexibility and parsimony plays a vital role in statistical modelling. In clustered da…

stat.ME2021

Individual Heterogeneity Learning in Distributional Data Response Additive Models

Zixuan Han, Tao Li, Jinhong You

In many complex applications, data heterogeneity and homogeneity exist simultaneously. Ignoring either one will result in incorrect statistical inference. In addition, coping with…

stat.ME2021★ 2 cited

Functional L-Optimality Subsampling for Massive Data

Hua Liu, Jinhong You, Jiguo Cao

Massive data bring the big challenges of memory and computation for analysis. These challenges can be tackled by taking subsamples from the full data as a surrogate. For functional…

stat.ME2020

Unified statistical inference for a novel nonlinear dynamic functional/longitudinal data model

Lixia Hu, Tao Huang, Jinhong You

In light of recent work studying massive functional/longitudinal data, such as the resulting data from the COVID-19 pandemic, we propose a novel functional/longitudinal data model…

math.ST2016

Estimation and Model Identification of Locally Stationary Varying-Coefficient Additive Models

Lixia Hu, Tao Huang, Jinhong You

Nonparametric regression models with locally stationary covariates have received increasing interest in recent years. As a nice relief of "curse of dimensionality" induced by large…

math.ST2012★ 8 cited

Estimation for an additive growth curve model with orthogonal design matrices

Jianhua Hu, Guohua Yan, Jinhong You

An additive growth curve model with orthogonal design matrices is proposed in which observations may have different profile forms. The proposed model allows us to fit data and then…