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Found 4 papers, 0 papers with code
The Bayesian Learning Rule
The rule, derived from Bayesian principles, yields a wide-range of algorithms from fields such as optimization, deep learning, and graphical models.
Efficient Quantile Tracking Using an Oracle
The MSE is decomposed in tracking variance and bias and novel and efficient procedures to estimate these quantities are presented.
Does non-stationary spatial data always require non-stationary random fields?
A stationary spatial model is an idealization and we expect that the true dependence structures of physical phenomena are spatially varying, but how should we handle this non-stationarity in practice?
Methodology Applications
Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy
This allows for the introduction of parameters that control the GRF by parametrizing the diffusion matrix.
Methodology
