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- 2020
-
Mark
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
(
- Contribution to journal › Article
- 2019
-
Mark
Student's t-Filters for Noise Scale Estimation
(
- Contribution to journal › Article
-
Mark
Asymptotics of Maximum Likelihood Parameter Estimates For Gaussian Processes: The Ornstein–Uhlenbeck Prior
2019) IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2018
-
Mark
Mixture representation of the Matérn class with applications in state space approximations and Bayesian quadrature
2018)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2017
-
Mark
Student-t process quadratures for filtering of non-linear systems with heavy-tailed noise
2017) 20th International Conference on Information Fusion, FUSION 2017(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding