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03/29/2022
Random Geometric Graph: Some recent developments and perspectives
The Random Geometric Graph (RGG) is a random graph model for network dat...
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03/29/2022
A new procedure for Selective Inference with the Generalized Linear Lasso
This articles investigates the distribution of the solutions of the gene...
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09/22/2021
Cramér-Rao bound-informed training of neural networks for quantitative MRI
Neural networks are increasingly used to estimate parameters in quantita...
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06/24/2021
Three rates of convergence or separation via U-statistics in a dependent framework
Despite the ubiquity of U-statistics in modern Probability and Statistic...
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11/20/2020
Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains, and applications
We prove a new concentration inequality for U-statistics of order two fo...
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06/12/2020
Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks
We introduce Markov Random Geometric Graphs (MRGGs), a growth model for ...
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04/09/2020