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05/08/2023
Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods
In spatial statistics, fast and accurate parameter estimation coupled wi...
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03/27/2023
Towards black-box parameter estimation
Deep learning algorithms have recently shown to be a successful tool in ...
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05/22/2022
Spatio-Temporal Cross-Covariance Functions under the Lagrangian Framework with Multiple Advections
When analyzing the spatio-temporal dependence in most environmental and ...
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07/29/2021
Neural Networks for Parameter Estimation in Intractable Models
We propose to use deep learning to estimate parameters in statistical mo...
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12/12/2020
Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE
Machine learning algorithms have been successfully used to approximate n...
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07/16/2019
