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06/28/2023
Frontiers to the learning of nonparametric hidden Markov models
Hidden Markov models (HMMs) are flexible tools for clustering dependent ...
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09/28/2021
Sharp multiple testing boundary for sparse sequences
This work investigates multiple testing from the point of view of minima...
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06/24/2021
Fundamental limits for learning hidden Markov model parameters
We study the frontier between learnable and unlearnable hidden Markov mo...
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02/01/2021
Empirical Bayes cumulative ℓ-value multiple testing procedure for sparse sequences
In the sparse sequence model, we consider a popular Bayesian multiple te...
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01/11/2021
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach
Given a nonparametric Hidden Markov Model (HMM) with two states, the que...
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06/08/2019
On statistical Calderón problems
For D a bounded domain in R^d, d > 3, with smooth boundary ∂ D, the non...
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02/15/2018