No matter what kind of traditional HPC simulation and modeling system you have, no matter what kind of fancy new machine learning AI system you have, IBM has an appliance that it wants to sell you to ...

This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...

We apply a linear Bayesian model to seismic tomography, a high-dimensional inverse problem in geophysics. The objective is to estimate the three-dimensional structure of the earth's interior from data ...

An academia-industry collaboration developed a new sampling algorithm for Design of Experiment intending to democratize experimental design.

Two Bayesian clinical trial designs that perform subgroup-specific decision making and inference based on elicited utilities of patient outcomes are reviewed. The first is a randomized comparative ...

A research group led by Prof. Sun Xiaobing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, investigated the impact of multiangular polarimetry on the quantification ...