21 citations · 71 across the 15 of their papers we have counts for
6 papers · 1 filter
Extremal properties of the multivariate extended skew-normal distribution
Boris Beranger, Simone A. Padoan, Yangfan Xu +1
The skew-normal and related families are flexible and asymmetric parametric models suitable for modelling a diverse range of systems. We show that the multivariate maximum of a hig…
Variance reduction properties of the reparameterization trick
Ming Xu, Matias Quiroz, Robert Kohn +1
The reparameterization trick is widely used in variational inference as it yields more accurate estimates of the gradient of the variational objective than alternative approaches s…
New models for symbolic data analysis
Boris Beranger, Huan Lin, Scott A. Sisson
Symbolic data analysis (SDA) is an emerging area of statistics concerned with understanding and modelling data that takes distributional form (i.e. symbols), such as random lists,…
Extremal properties of the univariate extended skew-normal distribution
Boris Beranger, Simone A. Padoan, Yangfan Xu +1
We consider the extremal properties of the highly flexible univariate extended skew-normal distribution. We derive the well-known Mills' inequalities and Mills' ratio for the exten…
Overview of Approximate Bayesian Computation
S. A. Sisson, Y. Fan, M. A. Beaumont
This Chapter, "Overview of Approximate Bayesian Computation", is to appear as the first chapter in the forthcoming Handbook of Approximate Bayesian Computation (2018). It details t…
ABC Samplers
Y. Fan, S. A. Sisson
This Chapter, "ABC Samplers", is to appear in the forthcoming Handbook of Approximate Bayesian Computation (2018). It details the main ideas and algorithms used to sample from the…