 Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable LikelihoodsSpatial Statistics (Spat. Stat.), 2023 |
 Towards black-box parameter estimationComputational statistics (Zeitschrift) (CSZ), 2023 Amanda Lenzi Haavard Rue |
 Statistical Deep Learning for Spatial and Spatio-Temporal DataAnnual Review of Statistics and Its Application (ARSIA), 2022 |
 Spherical Poisson Point Process Intensity Function Modeling and
Estimation with Measure TransportSpatial Statistics (Spatial Stat.), 2022 |
 Neural Networks for Parameter Estimation in Intractable ModelsComputational Statistics & Data Analysis (CSDA), 2021 |
 Likelihood-Free Frequentist Inference: Bridging Classical Statistics and
Machine Learning for Reliable Simulator-Based InferenceElectronic Journal of Statistics (EJS), 2021 |
