7 citations · 9 across the 18 of their papers we have counts for
3 papers · 1 filter
Uncertainty Quantification in Portfolio Temperature Alignment
Hendrik Weichel, Aleksandr Zinovev, Heikki Haario +1
We present a novel Bayesian framework for quantifying uncertainty in portfolio temperature alignment models, leveraging the X-Degree Compatibility (XDC) approach with the scientifi…
Kernel-based retrieval models for hyperspectral image data optimized with Kernel Flows
Zina-Sabrina Duma, Tuomas Sihvonen, Jouni Susiluoto +3
Kernel-based statistical methods are efficient, but their performance depends heavily on the selection of kernel parameters. In literature, the optimization studies on kernel-based…
Surrogate model for Bayesian optimal experimental design in chromatography
Jose Rodrigo Rojo-Garcia, Heikki Haario, Tapio Helin +1
We applied Bayesian Optimal Experimental Design (OED) in the estimation of parameters involved in the Equilibrium Dispersive Model for chromatography with two components with the L…