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math.ST2020
Posterior contraction in group sparse logit models for categorical responses
Seonghyun Jeong
This paper studies posterior contraction rates in multi-category logit models with priors incorporating group sparse structures. We consider a general class of logit models that in…
math.ST2020
Unified Bayesian theory of sparse linear regression with nuisance parameters
Seonghyun Jeong, Subhashis Ghosal
We study frequentist asymptotic properties of Bayesian procedures for high-dimensional Gaussian sparse regression when unknown nuisance parameters are involved. Nuisance parameters…
math.ST2020★ 4 cited
The art of BART: Minimax optimality over nonhomogeneous smoothness in high dimension
Seonghyun Jeong, Veronika Rockova
Many asymptotically minimax procedures for function estimation often rely on somewhat arbitrary and restrictive assumptions such as isotropy or spatial homogeneity. This work enhan…