5 citations · 5 across the 2 of their papers we have counts for
3 papers
stat.CO2012★ 4 cited
Approximate Bayesian Computation via Regression Density Estimation
Y. Fan, D. J. Nott, S. A. Sisson
Approximate Bayesian computation (ABC) methods, which are applicable when the likelihood is difficult or impossible to calculate, are an active topic of current research. Most curr…
stat.ME2010
The Predictive Lasso
Minh-Ngoc Tran, David Nott, Chenlei Leng
We propose a shrinkage procedure for simultaneous variable selection and estimation in generalized linear models (GLMs) with an explicit predictive motivation. The procedure estima…
stat.ME2010★ 9 cited
Bayesian Adaptive Lasso
Chenlei Leng, Minh Ngoc Tran, David Nott
We propose the Bayesian adaptive Lasso (BaLasso) for variable selection and coefficient estimation in linear regression. The BaLasso is adaptive to the signal level by adopting dif…