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Tao Huang

5 papers hereh-index 111.6k citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • stat.ME4
  • math.ST1
same name
  • Tao Huang — 254 papers
  • Tao Huang — 34 papers, h 24
  • Tao Huang — 22 papers, h 49
  • Tao Huang — 21 papers, h 17
  • Tao Huang — 20 papers, h 7
  • Tao Huang — 13 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132022
most citedModel Selection for Gaussian Mixture Models

27 citations · 27 across the 4 of their papers we have counts for

collaborators
Showing stat.MEShow all

4 papers · 1 filter

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.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…

stat.ME2017

Unsupervised Learning of Mixture Regression Models for Longitudinal Data

Peirong Xu, Heng Peng, Tao Huang

This paper is concerned with learning of mixture regression models for individuals that are measured repeatedly. The adjective "unsupervised" implies that the number of mixing comp…

stat.ME2013★ 27 cited

Model Selection for Gaussian Mixture Models

Tao Huang, Heng Peng, Kun Zhang

This paper is concerned with an important issue in finite mixture modelling, the selection of the number of mixing components. We propose a new penalized likelihood method for mode…

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