As the one-year anniversary of the devastating early January 2025 wildfires in Los Angeles approaches, a pressing question ...

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

Get a simple explanation of Bayes’ Theorem that anyone can understand, even with no advanced math background. This video ...

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...

The beauty of Bayesian sensors is that they can make your Home Assistant automations much more accurate. If your cat does ...

Onset, intensity, severity and duration of influenza seasons vary each year and are driven by factors such as temperature, rainfall, humidity, circulating virus types/subtypes, population immunity ...

There are already tens of thousands of pieces of large debris in orbit, some of which pose a threat to functional satellites. Various agencies and organizations have been developing novel solutions to ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...

Abstract: One of the main problems in calculating the probability of undetected error of a linear code on a binary symmetric channel (BSC) is the lack of information ...

Abstract: In this work we present a decision support tool for the calculation of time-dependent survival probability for patients after ventricular assist device implantation. Two different models ...