Publications

(2018). Adaptive Bayesian semiparametric density estimation in sup-norm. arXiv preprint arXiv:1805.06816.

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(2017). An estimator for the tail-index of graphex processes. arXiv preprint arXiv:1712.01745.

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(2017). Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization. arXiv preprint arXiv:1712.02311.

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(2017). Posterior concentration rates for mixtures of normals in random design regression. Electronic Journal of Statistics, 11(2), 4065-4102.

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(2017). Bayesian nonparametric estimation for Quantum Homodyne Tomography. Electronic Journal of Statistics, 11(2), 3595-3632.

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(2017). Some aspects of symmetric Gamma process mixtures. Bayesian Analysis.

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(2014). Signal stochastic decomposition over continuous dictionaries. In 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

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Talks

Asymptotic methods in Bayesian nonparametric statistics
Jun 7, 2016 12:00 AM
Contributed talk: Aspects of Gamma process mixtures
Apr 20, 2016 12:00 AM
Contributed talk: Adaptive Bayesian nonparametric regression
Jun 25, 2015 1:00 PM
Invited talk: Adaptive Bayesian nonparametric regression
Jun 19, 2015 12:00 AM
Invited talk: Bayesian nonparametric estimation for quantum homodyne tomography
Jun 9, 2015 12:00 AM
Asymptotic results for mixture models in regression
May 28, 2015 12:00 AM
Recent results on mixture models in regression
Nov 27, 2014 12:00 AM
Mixture models in regression
Jun 4, 2014 12:00 AM

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