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A. Feller

34 papers hereh-index 284.3k citations87 works total

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

author position
  • first author2
  • middle author27
  • last author5

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

fields
  • stat.ME24
  • stat.AP5
  • econ.EM2
  • math.ST2
  • cs.CY1
same name
  • A. Feller — 44 papers, h 23
  • A. Feller — 36 papers, h 3
  • A. Feller — 11 papers, h 6
  • A. Feller — 1 paper

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
20142024
most citedOverlap in Observational Studies with High-Dimensional Covariates

27 citations · 116 across the 29 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

math.ST2017★ 27 cited

Overlap in Observational Studies with High-Dimensional Covariates

Alexander D'Amour, Peng Ding, Avi Feller +2

Estimating causal effects under exogeneity hinges on two key assumptions: unconfoundedness and overlap. Researchers often argue that unconfoundedness is more plausible when more co…

stat.ME2017★ 1 cited

Conditional randomization tests of causal effects with interference between units

Guillaume Basse, Avi Feller, Panos Toulis

Many causal questions involve interactions between units, also known as interference, for example between individuals in households, students in schools, or firms in markets. In th…

cs.CY2017

Algorithmic decision making and the cost of fairness

Sam Corbett-Davies, Emma Pierson, Avi Feller +2

Algorithms are now regularly used to decide whether defendants awaiting trial are too dangerous to be released back into the community. In some cases, black defendants are substant…

stat.ME2017

Bounding, an accessible method for estimating principal causal effects, examined and explained

Luke Miratrix, Jane Furey, Avi Feller +2

Estimating treatment effects for subgroups defined by post-treatment behavior (i.e., estimating causal effects in a principal stratification framework) can be technically challengi…

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