9 citations · 19 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
Monte Carlo and quasi-Monte Carlo integration for likelihood functions
Yanbo Tang
We compare the integration error of Monte Carlo (MC) and quasi-Monte Carlo (QMC) methods for approximating the normalizing constant of posterior distributions and certain marginal…
On the Tightness of the Laplace Approximation for Statistical Inference
Blair Bilodeau, Yanbo Tang, Alex Stringer
Laplace's method is used to approximate intractable integrals in a statistical problems. The relative error rate of the approximation is not worse than . We provide th…
Laplace and Saddlepoint Approximations in High Dimensions
Yanbo Tang, Nancy Reid
We examine the behaviour of the Laplace and saddlepoint approximations in the high-dimensional setting, where the dimension of the model is allowed to increase with the number of o…
General Behaviour of P-Values Under the Null and Alternative
Yanbo Tang, Radu Craiu, Lei Sun
Hypothesis testing results often rely on simple, yet important assumptions about the behaviour of the distribution of p-values under the null and the alternative. We examine tests…