Jian Cao

activity

20182026

most citedScalable Gaussian-process regression and variable selection using Vecchia approximations

6 citations · 10 across the 9 of their papers we have counts for

collaborators

Showing stat.COShow all

2 papers · 1 filter

stat.CO2020★ 1 cited

Scalable computation of predictive probabilities in probit models with Gaussian process priors

Jian Cao, Daniele Durante, Marc G. Genton

Predictive models for binary data are fundamental in various fields, and the growing complexity of modern applications has motivated several flexible specifications for modeling th…

stat.CO2020★ 2 cited

Exploiting Low Rank Covariance Structures for Computing High-Dimensional Normal and Student- $t$ Probabilities

Jian Cao, Marc G. Genton, David E. Keyes +1

We present a preconditioned Monte Carlo method for computing high-dimensional multivariate normal and Student- $t$ probabilities arising in spatial statistics. The approach combines…

Scalable computation of predictive probabilities in probit models with Gaussian process priors

Exploiting Low Rank Covariance Structures for Computing High-Dimensional Normal and Student-t Probabilities

Exploiting Low Rank Covariance Structures for Computing High-Dimensional Normal and Student- $t$ Probabilities