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researcher

N. Simon

39 papers hereh-index 245.4k citations88 works total

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

author position
  • first author5
  • middle author13
  • last author21

Across the 39 of 39 papers where every author was matched, so the position is known.

fields
  • stat.ME16
  • stat.ML11
  • math.ST6
  • stat.AP3
  • q-bio.PE1
  • q-bio.QM1
same name
  • N. Simon — 2 papers, h 6
  • N. Simon — 1 paper, h 7
  • N. Simon — 1 paper, h 2
  • N. Simon — 1 paper, h 0
  • N. Simon — 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 citedA general framework for inference on algorithm-agnostic variable importance

74 citations · 461 across the 38 of their papers we have counts for

collaborators
Showing 2014Show all

4 papers · 1 filter

stat.ML2014★ 43 cited

Convex Modeling of Interactions with Strong Heredity

Asad Haris, Daniela Witten, Noah Simon

We consider the task of fitting a regression model involving interactions among a potentially large set of covariates, in which we wish to enforce strong heredity. We propose FAMIL…

stat.ME2014★ 3 cited

Fused Lasso Additive Model

Ashley Petersen, Daniela Witten, Noah Simon

We consider the problem of predicting an outcome variable using p covariates that are measured on n independent observations, in the setting in which flexible and interpretable…

stat.ME2014★ 4 cited

Selection Bias Correction and Effect Size Estimation under Dependence

Kean Ming Tan, Noah Simon, Daniela Witten

We consider large-scale studies in which it is of interest to test a very large number of hypotheses, and then to estimate the effect sizes corresponding to the rejected hypotheses…

stat.ME2014★ 68 cited

Comment on "Detecting Novel Associations In Large Data Sets" by Reshef Et Al, Science Dec 16, 2011

Noah Simon, Robert Tibshirani

The proposal of Reshef et al. (2011) is an interesting new approach for discovering non-linear dependencies among pairs of measurements in exploratory data mining. However, it has…

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