Han Lin Shang

Statistics and Probability · with Hyndman · 2009–2020

A researcher in the Science corpus: 8 papers; trusts 120 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Han Lin Shang trusts overall

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

  1. Rob J Hyndman
  2. Peter Hall
  3. H. Muller
  4. Robert Tibshirani
  5. Bernard Walter Silverman
  6. Fang Yao
  7. James W. Taylor
  8. Grace Wahba
  9. Jaka Demsar
  10. Philip T. Reiss

Who trusts Han Lin Shang overall

  1. Rob J Hyndman
  2. M. Febrero–Bande
  3. Nengxiang Ling
  4. Jane-ling Wang
  5. Aurore Delaigle
  6. Gerda Claeskens
  7. George Athanasopoulos
  8. Mia Hubert
  9. M. D. L. Fuente
  10. H. Muller

Papers from Han Lin Shang's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. Spline Models for Observational Data
  3. Estimating the Dimension of a Model
  4. Generalized Linear Models
  5. Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics)
  6. Linear Processes in Function Spaces: Theory And Applications
  7. Nonparametric Functional Data Analysis: Theory And Practice
  8. Applied Functional Data Analysis: Methods and Case Studies
  9. Model selection and estimation in regression with grouped variables
  10. ImageNet classification with deep convolutional neural networks

Their papers