Disease combinations are often unique – anonymization of health data is therefore particularly complex. An interview on ...

Bayesian methods for inference and prediction have become widespread in the social sciences (and beyond). Over the last decades, applied Bayesian modeling has evolved from a niche methodology with ...

For whom? The events are open to all interested, within or outside of KI. The events are free of charge. The program is tailored towards users of statistics (but you don’t need to be a statistician), ...

This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, including ...

Copyright: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Frequentist and Bayesian ...

Prosecutors are looking into the actions of two other crew members in connection with the sinking of the luxury yacht Bayesian, which caused the deaths of seven people. By Elisabetta Povoledo ...

Abstract: In this paper we present a Bayes inference model for a simple step-stress accelerated life test (SSALT) using type-II censored samples. We assume that the failure times at each stress are ...

In the fully-Bayesian setting when fitting a GPR, one marginalizes out the hyperparameters instead of point-wise maximization of the (log) likelihood (MAP or MLE). The acquisition function is then ...