Janet K. Allen
Statistics and Probability · 2001–2020
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 29 citations into it; #3,661 of 12,932 by trust here, #1,989 by citations
- Computational Theory and Mathematics — 24 citations into it; #2,900 of 12,182 by trust here, #1,587 by citations
- Management Science and Operations Research — 20 citations into it; #2,603 of 11,946 by trust here, #1,613 by citations
- Artificial Intelligence — 19 citations into it
- Civil and Structural Engineering — 5 citations into it
- Environmental Engineering — 5 citations into it
- Statistical Learning Theory — 5 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Janet K. Allen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hans-Martin Gutmann
- Tin Kam Ho
- Ryszard S. Michalski
- Zbigniew J. Czech
- Felipe Antonio Chegury Viana
- R. Rebonato
- Luiz Paulo Lopes Fávero
- David S. Broomhead
- P. Mugunthan
- Benjamin Peherstorfer
Who trusts Janet K. Allen overall
Papers from Janet K. Allen's perspective
Ordered by how strongly the researchers Janet K. Allen trusts endorse each paper. Same corpus, a different order for every researcher.
- Design and analysis of computer experiments
- The Elements of Statistical Learning
- A Taxonomy of Global Optimization Methods Based on Response Surfaces
- The Nature of Statistical Learning Theory
- Random Forests
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
- Greedy function approximation: A gradient boosting machine.
- A Radial Basis Function Method for Global Optimization (Journal of Global Optimization)
- Recent advances in surrogate-based optimization
- Design and Analysis of Experiments
Their papers
- Metamodels for Computer-based Engineering Design: Survey and recommendations (2001) — 2,003 citations
- Managing computational complexity using surrogate models: a critical review (2020) — 395 citations
- Applying Ecological Input‐Output Flow Analysis to Material Flows in Industrial Systems: Part I: Tracing Flows (2004) — 128 citations