2 citations · 2 across the 5 of their papers we have counts for
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math.ST2025
Post-reduction inference for confidence sets of models
Heather Battey, Daniel Garcia Rasines, Yanbo Tang
Sparsity in a regression context makes the model itself an object of interest, pointing to a confidence set of models as the appropriate presentation of evidence. A difficulty in a…
math.ST2023
Local asymptotics of selection models with applications in Bayesian selective inference
Daniel G. Rasines, G. Alastair Young
Contemporary focus on selective inference has renewed interest in the theory of selection models. In this paper, we analyze the asymptotic properties of selection models built on i…
math.ST2020
Bayesian Selective Inference: Non-informative Priors
Daniel G. Rasines, G. Alastair Young
We discuss Bayesian inference for parameters selected using the data. First, we provide a critical analysis of the existing positions in the literature regarding the correct Bayesi…