5 citations · 6 across the 4 of their papers we have counts for
3 papers · 1 filter
Locally Adaptive Nonparametric Binary Regression
Sally Wood, Robert Kohn, Remy Cottet +2
A nonparametric and locally adaptive Bayesian estimator is proposed for estimating a binary regression. Flexibility is obtained by modeling the binary regression as a mixture of pr…
Variable Selection and Model Averaging in Semiparametric Overdispersed Generalized Linear Models
Remy Cottet, Robert Kohn, David Nott
We express the mean and variance terms in a double exponential regression model as additive functions of the predictors and use Bayesian variable selection to determine which predi…
Bayesian Covariance Matrix Estimation using a Mixture of Decomposable Graphical Models
Helen Armstrong, Christopher K. Carter, Kevin F. Wong +1
A Bayesian approach is used to estimate the covariance matrix of Gaussian data. Ideas from Gaussian graphical models and model selection are used to construct a prior for the covar…