Alan H. Welsh

Statistics and Probability · 2001–2015

A researcher in the Science corpus: 15 papers; trusts 50 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 47 citations into it; #1,584 of 12,932 by trust here, #1,934 by citations
• Artificial Intelligence — 33 citations into it; #9,166 of 35,345 by trust here, #19,018 by citations
• Environmental Engineering — 10 citations into it; #745 of 5,479 by trust here, #2,438 by citations
• Control and Systems Engineering — 5 citations into it
• Economics and Econometrics — 5 citations into it
• Mechanical Engineering — 5 citations into it; #5,919 of 8,300 by trust here, #7,261 by citations
• Optimization & Training — 5 citations into it

Whom Alan H. Welsh trusts overall

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

1. Saad T. Bakir
2. Xihong Lin
3. K. Liang
4. Raymond J. Carroll
5. Robert Tibshirani
6. David Ruppert
7. Hui Zou
8. Hirotogu Akaike
9. Anthony B. Atkinson
10. Peter McCullagh

Who trusts Alan H. Welsh overall

1. M. Di Marzio
2. Aaron M. Christ
3. Scott E. Nielsen
4. Samuel Müller
5. Janice L. Scealy
6. Yongyi Min
7. Jay M. Ver Hoef
8. Dan Hall
9. Skyler J. Cranmer
10. G. David Roodman

Papers from Alan H. Welsh's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
3. Estimating the Dimension of a Model
4. Model selection and estimation in regression with grouped variables
5. Spline Models for Observational Data
6. The Adaptive Lasso and Its Oracle Properties
7. Information Theory and an Extension of the Maximum Likelihood Principle
8. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
9. Nonparametric Regression and Generalized Linear Models: A roughness penalty approach
10. Generalized Linear Models

Their papers

• Equivalent Kernels of Smoothing Splines in Nonparametric Regression for Clustered/Longitudinal Data (2004) — 100 citations
• Outlier Robust Model Selection in Linear Regression (2005) — 79 citations
• Bootstrapping clustered data (2007) — 376 citations
• Theory & Methods: Modelling Correlated Zero‐inflated Count Data (2001) — 99 citations
• Marginal Longitudinal Nonparametric Regression (2002) — 66 citations
• Robust Estimation of the Generalized Pareto Distribution (2001) — 75 citations
• Model Selection in Linear Mixed Models (2013) — 298 citations
• Local regression for vector responses (2006) — 59 citations
• Robust Principal Component Analysis for Power Transformed Compositional Data (2015) — 53 citations
• Colours and Cocktails: Compositional Data Analysis 2013 Lancaster Lecture (2014) — 60 citations
• Regression for compositional data by using distributions defined on the hypersphere (2011) — 129 citations
• Are nest boxes a viable alternative source of cavities for hollow-dependent animals? Long-term monitoring of nest box occupancy, pest use and attrition (2009) — 137 citations
• Contrasting mammal responses to vegetation type and fire (2008) — 95 citations
• Generalized additive modelling and zero inflated count data (2002) — 313 citations
• A journey in single steps: robust one-step M-estimation in linear regression (2002) — 54 citations