82 citations · 121 across the 4 of their papers we have counts for
5 papers · 1 filter
Pyramid quantile regression
T. Rodrigues, J. -L. Dortet-Bernadet, Y. Fan
Quantile regression models provide a wide picture of the conditional distributions of the response variable by capturing the effect of the covariates at different quantile levels.…
On Bayesian quantile regression curve fitting via auxiliary variables
J. -L. Dortet-Bernadet, Y. Fan
Quantile regression has received increased attention in the statistics community in recent years. This article adapts an auxiliary variable method, commonly used in Bayesian variab…
Likelihood-free Markov chain Monte Carlo
S A Sisson, Y Fan
To appear to MCMC handbook, S. P. Brooks, A. Gelman, G. Jones and X.-L. Meng (eds), Chapman & Hall.
Reversible jump Markov chain Monte Carlo and multi-model samplers
Yanan Fan, Scott A. Sisson, Laurence Davies
To appear in the second edition of the MCMC handbook, S. P. Brooks, A. Gelman, G. Jones and X.-L. Meng (eds), Chapman & Hall.
On Bayesian Curve Fitting Via Auxiliary Variables
Y. Fan, J. -L Dortet-Bernadet, S. A. Sisson
In this article we revisit the auxiliary variable method introduced in Smith and kohn (1996) for the fitting of P-th order spline regression models with an unknown number of knot p…