activity
20172023
most citedModeling and replicating statistical topology, and evidence for CMB non-homogeneity

34 citations · 36 across the 9 of their papers we have counts for

collaborators

11 papers

q-fin.GN2023

Audit fees in auditor switching

Sarit Agami

The auditor work is examining that a company's financial statements faithfully reflect its financial situation. His wage, the audit fees, are not fixed among all companies, but can…

stat.ME2022

Correcting for Measurement Error in Segmented Cox Model

Sarit Agami

Measurement error in the covariate of main interest (e.g. the exposure variable, or the risk factor) is common in epidemiologic and health studies. It can effect the relative risk…

stat.ME2022

Improved Modeling of Persistence Diagram

Sarit Agami

High-dimensional reduction methods are powerful tools for describing the main patterns in big data. One of these methods is the topological data analysis (TDA), which modeling the…

physics.soc-ph2020

Impact of COVID-19 on Air Quality in Israel

Sarit Agami

The COVID-19 pandemic has caused, in general, a sharp reduction in traffic and industrial activities. This in turn leaded to a reduction in air pollution around the world. It is im…

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…

math.AT2019★ 2 cited

Vietoris-Rips Persistent Homology

Sarit Agami

Persistence diagrams are useful displays that give a summary information regarding the topological features of some phenomenon. Usually, only one persistence diagram is available,…

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…

math.ST2018

Modelling Persistence Diagrams with Planar Point Processes, and Revealing Topology with Bagplots

Robert J Adler, Sarit Agami

We introduce a new model for planar point point processes, with the aim of capturing the structure of point interaction and spread in persistence diagrams. Persistence diagrams the…

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…

stat.ME2017★ 34 cited

Modeling and replicating statistical topology, and evidence for CMB non-homogeneity

Robert J. Adler, Sarit Agami, Pratyush Pranav

Under the banner of `Big Data', the detection and classification of structure in extremely large, high dimensional, data sets, is, one of the central statistical challenges of our…