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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 2021Show all

4 papers · 1 filter

q-fin.ST2021

Clustering Structure of Microstructure Measures

Liao Zhu, Ningning Sun, Martin T. Wells

This paper builds the clustering model of measures of market microstructure features which are popular in predicting stock returns. In a 10-second time-frequency, we study the clus…

stat.ME2021★ 1 cited

On Graphical Models and Convex Geometry

Haim Bar, Martin T. Wells

We introduce a mixture-model of beta distributions to identify significant correlations among P predictors when P is large. The method relies on theorems in convex geometry, wh…

q-fin.ST2021★ 5 cited

A News-based Machine Learning Model for Adaptive Asset Pricing

Liao Zhu, Haoxuan Wu, Martin T. Wells

The paper proposes a new asset pricing model -- the News Embedding UMAP Selection (NEUS) model, to explain and predict the stock returns based on the financial news. Using a combin…

stat.ME2021★ 2 cited

Mixed Effect Modeling and Variable Selection for Quantile Regression

Haim Bar, James Booth, Martin T. Wells

It is known that the estimating equations for quantile regression (QR) can be solved using an EM algorithm in which the M-step is computed via weighted least squares, with weights…

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