Human judgment of the temporal order of two sensory signals is liable to change depending on our prior experiences. Previous studies have reported that signals presented at short intervals but in the ...

Motivated by calibration problems in near-infrared (NIR) spectroscopy, we consider the linear regression setting in which the many predictor variables arise from sampling an essentially continuous ...

The paper presents a Bayesian framework for the calibration of financial models using neural stochastic differential equations (neural SDEs), for which we also formulate a global universal ...

From a Bayesian viewpoint we initiate the study of the generalized growth curve model $E(Y_{p\times N})=X_{p\times m^{\tau }m\times r}A_{r\times N}$ where X and A are ...