Posts by Collection

publications

Model-based clustering using nonparametric hidden Markov models

Published in arXiv preprint, 2023

In this paper, we perform a thorough analysis of the Bayes risk of clustering when observations come from a nonparametric HMM.

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On the impossibility of detecting a late change-point in the preferential attachment random graph model

Published in arXiv preprint, 2024

This paper studies the fundamental limits for change-point detection under the linear preferential attachment random graph model

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talks

Clustering of parametric Hidden Markov Models

Published: September 01, 2022

Poster at the Junior Conference on DataScience and Engineering. I presented results regarding the clustering of observations of a parametric HMM. [poster]

Talk at ASCAI 2nd Workshop

Published: February 28, 2023

I presented theoretical guarantees on the clustering when observations come from a general nonparametric HMM and a clustering procedure that is guaranteed to mimic the Bayes clusterer asymptotically. More information here. [slides]

Talk at the conference: Markovian & Semi-Markovian processes and their applications

Published: June 05, 2023

I presented general results regarding estimation and clustering under the HMM framework. More information here. [slides]

Clustering of nonparametric Hidden Markov Models

Published: September 18, 2023

Poster at the StatMathAppli conference. I presented results regarding the clustering of observations of a nonparametric HMM. [poster]

Talk at SuPerGRandMa seminar

Published: February 05, 2024

I presented recent results on change-point detection in the preferential attachment random graph model. More information here.

Talk at 55èmes Journées de Statistique

Published: May 27, 2024

I presented the results of our paper on clustering/classification. More information here.

Ibrahim Kaddouri