Recent group news:
5/2021: Paper on "Bayesian nonstationary and nonparametric covariance estimation for large spatial data" accepted at Bayesian Analysis.
5/2021: Jian Cao has joined the group as a postdoc. Welcome!
4/2021: Paper on "Ensemble Kalman filter updates based on regularized sparse inverse Cholesky factors" accepted at Monthly Weather Review.
4/2021: Paper on "Interpretation of point forecasts with unknown directive" accepted at Journal of Applied Econometrics.
2/2021: Paper on "Multi-resolution filters for massive spatio-temporal data" accepted at JCGS.
2/2021: Paper on "Spatial retrievals of atmospheric carbon dioxide from satellite observations" accepted at Remote Sensing.
1/2021: Matthias is now on the ISBA Program Council.
1/2021: Paper on "Sparse Cholesky factorization by Kullback-Leibler minimization" accepted at SIAM Journal on Scientific Computing.
1/2021: Jingjie's paper on "Multi-scale Vecchia approximations of Gaussian processes" was chosen as a top paper in the 2021 ENVR Student Paper Competition.
12/2020: New NASA Jet Propulsion Lab grant awarded on "Exploiting Spatio-Temporal Dependence in Multi-Footprint Remote Sensing Retrievals."
12/2020: Paper on "Bayesian nonstationary and nonparametric covariance estimation for large spatial data" now on arXiv.
12/2020: Jingjie has completed her PhD and will move to eBay in Seattle.
11/2020: Paper on "Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide" accepted at AOAS.
8/2020: Marcin completed his PhD and is now a postdoc at UT Austin.
6/2020: Paper on "Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering" now on arXiv.
6/2020: Paper on "Vecchia approximations of Gaussian-process predictions" accepted at JABES.
6/2020: New NSF grant awarded on "Scalable Gaussian-Process Methods for Spatial Statistics and Machine Learning."
5/2020: Paper on "Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide" now on arXiv.
5/2020: Paper on "Scaled Vecchia approximation for fast computer-model emulation" now on arXiv.
5/2020: Paper on "Sparse Cholesky factorization by Kullback-Leibler minimization" now on arXiv.
4/2020: R package GPvecchia, which implements a large class of Gaussian-process approximations, is available on CRAN.
1/2020: Matthias was awarded a Development Fellowship grant to work with Earl Lawrence (LANL) on "Scalable Gaussian-Process Methods for the Analysis of Computer Experiments."