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Damla Şentürk

4 papers hereh-index 181.1k citations72 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • math.ST1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

activity
20062022
most citedInference for covariate adjusted regression via varying coefficient models

102 citations · 102 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2022

Flexible Regularized Estimation in High-Dimensional Mixed Membership Models

Nicholas Marco, Damla Şentürk, Shafali Jeste +3

Mixed membership models are an extension of finite mixture models, where each observation can partially belong to more than one mixture component. A probabilistic framework for mix…

stat.ME2022

Functional Mixed Membership Models

Nicholas Marco, Damla Şentürk, Shafali Jeste +3

Mixed membership models, or partial membership models, are a flexible unsupervised learning method that allows each observation to belong to multiple clusters. In this paper, we pr…

stat.AP2016

Inferring Brain Signals Synchronicity from a Sample of EEG Readings

Qian Li, Damla Senturk, Catherine A. Sugar +4

Inferring patterns of synchronous brain activity from a heterogeneous sample of electroencephalograms (EEG) is scientifically and methodologically challenging. While it is intuitiv…

math.ST2006★ 102 cited

Inference for covariate adjusted regression via varying coefficient models

Damla Şentürk, Hans-Georg Müller

We consider covariate adjusted regression (CAR), a regression method for situations where predictors and response are observed after being distorted by a multiplicative factor. The…

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