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researcher

M. Wells

34 papers hereh-index 417.5k citations226 works total

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

author position
  • sole author1
  • middle author3
  • last author30

Across the 34 of 34 papers where every author was matched, so the position is known.

fields
  • stat.ME14
  • math.ST5
  • stat.ML5
  • q-fin.ST4
  • stat.CO2
  • cs.CY1
same name
  • M. Wells — 15 papers, h 19
  • M. Wells — 10 papers, h 3
  • M. Wells — 8 papers, h 6
  • M. Wells — 4 papers, h 23
  • M. Wells — 1 paper, h 2
  • M. Wells — 1 paper, h 0

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
20102023
most citedTree Space Prototypes: Another Look at Making Tree Ensembles Interpretable

36 citations · 212 across the 30 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

stat.AP2018

Ludometrics: Luck, and How to Measure It

Daniel E. Gilbert, Martin T. Wells

Game theory is the study of tractable games which may be used to model more complex systems. Board games, video games and sports, however, are intractable by design, so "ludologica…

stat.ME2018★ 5 cited

Rank-based approach for estimating correlations in mixed ordinal data

Xiaoyun Quan, James G. Booth, Martin T. Wells

High-dimensional mixed data as a combination of both continuous and ordinal variables are widely seen in many research areas such as genomic studies and survey data analysis. Estim…

q-fin.ST2018★ 12 cited

High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model

Liao Zhu, Sumanta Basu, Robert A. Jarrow +1

The paper proposes a new algorithm for the high-dimensional financial data -- the Groupwise Interpretable Basis Selection (GIBS) algorithm, to estimate a new Adaptive Multi-Factor…

stat.ME2018★ 8 cited

A Scalable Empirical Bayes Approach to Variable Selection in Generalized Linear Models

Haim Bar, James Booth, Martin T. Wells

A new empirical Bayes approach to variable selection in the context of generalized linear models is developed. The proposed algorithm scales to situations in which the number of pu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.