Professor of Mathematical Statistics
Research Interests: Mathematical Statistics; specifically high-dimensional inference, Bayesian nonparametrics, statistics for PDEs and inverse problems, empirical process theory.
Publications
Bernstein–von mises theorems for statistical inverse problems II: Compound poisson processes
– Electronic Journal of Statistics
(2019)
13,
3513
(doi: 10.1214/19-ejs1609)
Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography Problems
(2019)
74,
385
(doi: 10.1007/978-3-030-26391-1_18)
Adaptive confidence sets for matrix completion.
– Bernoulli
(2018)
24,
2429
(doi: 10.3150/17-bej933)
Inference on Covariance Operators via Concentration Inequalities: k-sample Tests, Classification, and Clustering via Rademacher Complexities
– Sankhya A
(2018)
81A,
214
(doi: 10.1007/s13171-018-0143-9)
Comments on: High-dimensional simultaneous inference with the bootstrap
– Test
(2017)
26,
731
(doi: 10.1007/s11749-017-0558-y)
Nonparametric Bayesian posterior contraction rates for discretely observed scalar diffusions
– The Annals of Statistics
(2017)
45,
1664
(doi: 10.1214/16-AOS1504)
A sharp adaptive confidence ball for self-similar functions
– Stochastic Processes and their Applications
(2016)
126,
3913
(doi: 10.1016/j.spa.2016.04.017)
The mathematical work of Evarist Gine
– Stochastic Processes and their Applications
(2016)
126,
3607
(doi: 10.1016/j.spa.2016.05.005)
In Memoriam: Evarist Giné
– Stochastic Processes and their Applications
(2016)
126,
3605
(doi: 10.1016/j.spa.2016.04.022)
Mathematical Foundations of Infinite-Dimensional Statistical Models
(2015)
(doi: 10.1017/CBO9781107337862)
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