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03/08/2023
Eve, Adam and the Preferential Attachment Tree
We consider the problem of finding the initial vertex (Adam) in a Barabá...
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12/01/2022
Scalable Variational Bayes methods for Hawkes processes
Multivariate Hawkes processes are temporal point processes extensively a...
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04/06/2022
Adaptive warped kernel estimation for nonparametric regression with circular responses
In this paper, we deal with nonparametric regression for circular data, ...
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10/25/2021
Minimax estimation of Functional Principal Components from noisy discretized functional data
Functional Principal Component Analysis is a reference method for dimens...
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06/28/2021
Adaptive greedy algorithm for moderately large dimensions in kernel conditional density estimation
This paper studies the estimation of the conditional density f (x, ×) of...
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03/31/2021
Bayesian estimation of nonlinear Hawkes process
Multivariate point processes are widely applied to model event-type data...
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10/09/2020
Uniform Deconvolution for Poisson Point Processes
We focus on the estimation of the intensity of a Poisson process in the ...
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06/21/2020
Statistical deconvolution of the free Fokker-Planck equation at fixed time
We are interested in reconstructing the initial condition of a non-linea...
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02/04/2019
Numerical performance of Penalized Comparison to Overfitting for multivariate kernel density estimation
Kernel density estimation is a well known method involving a smoothing p...
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02/16/2018
Nonparametric Bayesian estimation of multivariate Hawkes processes
This paper studies nonparametric estimation of parameters of multivariat...
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10/25/2017
