Professor of Mathematical Statistics
Research Interests: Mathematical Statistics; specifically high-dimensional inference, Bayesian nonparametrics, statistics for PDEs and inverse problems, empirical process theory.
Publications
Nonparametric statistical inference for drift vector fields of multi-dimensional diffusions
– The Annals of Statistics
(2020)
48,
1383
(doi: 10.1214/19-aos1851)
Bernstein–von Mises theorems for statistical inverse problems I: Schrödinger equation
– Journal of the European Mathematical Society
(2020)
22,
2697
(doi: 10.4171/jems/975)
Convergence rates for penalized least squares estimators in PDE constrained regression problems
– SIAM-ASA Journal on Uncertainty Quantification
(2020)
8,
374
(doi: 10.1137/18M1236137)
Efficient estimation of linear functionals of principal components
– The Annals of Statistics
(2020)
48,
464
(doi: 10.1214/19-aos1816)
Efficient estimation of linear functionals of principal components
– Annals of Statistics
(2020)
48,
464
(doi: 10.1214/18-AOS1816)
Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography Problems
– pp
(2019)
3,
385
(doi: 10.1007/978-3-030-26391-1_18)
Efficient nonparametric Bayesian inference for $X$-ray transforms
– The Annals of Statistics
(2019)
47,
1113
(doi: 10.1214/18-AOS1708)
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