Kehui Chen

Statistics and Probability · 2012–2017

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 22 citations into it; #5,775 of 12,932 by trust here, #9,714 by citations
• Artificial Intelligence — 10 citations into it

Whom Kehui Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. H. Muller
2. Fang Yao
3. H. ller
4. Zongwu Cai
5. Jane-ling Wang
6. Antonio Cuevas
7. Paul H. C. Eilers
8. Hervé Cardot
9. Ying Wei
10. Alois Kneip

Who trusts Kehui Chen overall

1. Kengo Kato
2. Torsten Hothorn
3. Javier Zapata
4. Thomas Kneib
5. Sang-Yun Oh
6. Peter Buhlmann

Papers from Kehui Chen's perspective

Ordered by how strongly the researchers Kehui Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Inference for Density Families Using Functional Principal Component Analysis
2. Generalized linear models with functional predictors
3. Regression Quantiles
4. Functional Data Analysis for Sparse Longitudinal Data
5. Inference for Functional Data with Applications
6. Quantile Regression
7. Estimating the Dimension of a Model
8. Functional Data Analysis
9. Functional Modelling and Classification of Longitudinal Data.
10. Multivariate calibration with temperature interaction using two-dimensional penalized signal regression

Their papers

• Conditional quantile analysis when covariates are functions, with application to growth data (2012) — 108 citations
• Modelling function‐valued stochastic processes, with applications to fertility dynamics (2017) — 79 citations