research
∙
07/17/2023
Kernel-Based Testing for Single-Cell Differential Analysis
Single-cell technologies have provided valuable insights into the distri...
share
research
∙
06/23/2023
Topological signatures of periodic-like signals
We present a method to construct signatures of periodic-like data. Based...
research
∙
10/17/2022
A Simplified Algorithm for Identifying Abnormal Changes in Dynamic Networks
Topological data analysis has recently been applied to the study of dyna...
research
∙
05/28/2022
Topological phase estimation method for reparameterized periodic functions
We consider a signal composed of several periods of a periodic function,...
research
∙
07/17/2020
Bayesian hierarchical models for the prediction of the driver flow and passenger waiting times in a stochastic carpooling service
Carpooling is an integral component in smart carbon-neutral cities, in p...
research
∙
07/02/2020
Learning with tree tensor networks: complexity estimates and model selection
In this paper, we propose and analyze a model selection method for tree ...
research
∙
05/03/2020
Gaussian linear model selection in a dependent context
In this paper, we study the nonparametric linear model, when the error p...
research
∙
12/23/2019
Approximation of Reeb spaces with Mappers and Applications to Stochastic Filters
Reeb spaces, as well as their discretized versions called Mappers, are c...
research
∙
04/27/2018
Detecting and modeling worst-case dependence structures between random inputs of computational reliability models
Uncertain information on input parameters of reliability models is usual...
research
∙
10/11/2017
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Topological Data Analysis (tda) is a recent and fast growing eld providi...
research
∙
06/01/2017
Statistical Analysis and Parameter Selection for Mapper
In this article, we study the question of the statistical convergence of...
research
∙
01/30/2014