2 citations · 2 across the 5 of their papers we have counts for
6 papers
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…
Personalized Pricing Decisions Through Adversarial Risk Analysis
Daniel García Rasines, Roi Naveiro, David Ríos Insua +1
Pricing decisions stand out as one of the most critical tasks a company faces, particularly in today's digital economy. As with other business decision-making problems, pricing unf…
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…
Splitting strategies for post-selection inference
Daniel G. Rasines, G. Alastair Young
We consider the problem of providing valid inference for a selected parameter in a sparse regression setting. It is well known that classical regression tools can be unreliable in…
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…
An Adversarial Risk Analysis Framework for Cybersecurity
David Rios Insua, Aitor Couce Vieira, Jose Antonio Rubio +3
Cyber threats affect all kinds of organisations. Risk analysis is an essential methodology for cybersecurity as it allows organisations to deal with the cyber threats potentially a…