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Vincent Rivoirard

Paris Dauphine University

76

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Simple discrete-time self-exciting models can describe complex dynamic processes: A case study of COVID-19.

2021 PLOS ONE
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Bayesian estimation of nonlinear Hawkes proces

2021 arXiv: Statistics Theory
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Nonparametric estimation of the fragmentation kernel based on a PDE stationary distribution approximation

2020 Scandinavian Journal of Statistics
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Uniform Deconvolution for Poisson Point Processes

2020 arXiv: Methodology
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Statistical deconvolution of the free Fokker-Planck equation at fixed time.

2020 arXiv: Probability
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Numerical performance of Penalized Comparison to Overfitting for multivariate kernel density estimation

2019 arXiv: Statistics Theory
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A Data-Dependent Weighted LASSO Under Poisson Noise

2019 IEEE Transactions on Information Theory
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A Data-Dependent Weighted LASSO Under Poisson Noise

2019 IEEE Transactions on Information Theory
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Nonparametric Bayesian estimation of multivariate Hawkes processes

2018 arXiv: Statistics Theory
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NONPARAMETRIC BAYESIAN ESTIMATION OF MULTIVARIATE HAWKES PROCESSES

2018 Annals of Statistics
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