67 citations · 117 across the 9 of their papers we have counts for
4 papers · 1 filter
Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
A. Adin, E. Krainski, A. Lenzi +3
Standard techniques such as leave-one-out cross-validation (LOOCV) might not be suitable for evaluating the predictive performance of models incorporating structured random effects…
Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods
Julia Walchessen, Amanda Lenzi, Mikael Kuusela
In spatial statistics, fast and accurate parameter estimation, coupled with a reliable means of uncertainty quantification, can be challenging when fitting a spatial process to rea…
Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections
Mary Lai O. Salvaña, Amanda Lenzi, Marc G. Genton
When analyzing the spatio-temporal dependence in most environmental and earth sciences variables such as pollutant concentrations at different levels of the atmosphere, a special p…
Neural Networks for Parameter Estimation in Intractable Models
Amanda Lenzi, Julie Bessac, Johann Rudi +1
We propose to use deep learning to estimate parameters in statistical models when standard likelihood estimation methods are computationally infeasible. We show how to estimate par…