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researcher

Sarit Agami

8 papers here

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

author position
  • sole author4
  • first author3
  • last author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • stat.AP4
  • math.AT1
  • math.ST1
  • physics.soc-ph1
  • stat.ME1
same name
  • Sarit Agami — 2 papers

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
20172022
most citedVietoris-Rips Persistent Homology

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing stat.APShow all

4 papers · 1 filter

stat.AP2020

Comparison of Persistence Diagrams

Sarit Agami

Topological Data Analysis (TDA) is an approach to handle with big data by studying its shape. A main tool of TDA is the persistence diagram, and one can use it to compare data sets…

stat.AP2018

Cox Model with Covariate Measurement Error and Unknown Changepoint

Sarit Agami, David M. Zucker, Donna Spiegelman

The standard Cox model in survival analysis assumes that the covariate effect is constant across the entire covariate domain. However, in many applications, there is interest in co…

stat.AP2018

Estimation in the Cox Survival Regression Model with Covariate Measurement Error and a Changepoint

Sarit Agami, David M. Zucker, Donna Spiegelman

The Cox regression model is a popular model for analyzing the relationship between a covariate and a survival endpoint. The standard Cox model assumes a constant covariate effect a…

stat.AP2017

Modeling of Persistent Homology

Sarit Agami, Robert J. Adler

Topological Data Analysis (TDA) is a novel statistical technique, particularly powerful for the analysis of large and high dimensional data sets. Much of TDA is based on the tool o…

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