TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

Abstract: Traditionally, the uncertainty qualification is utilized with the known probability distribution function (PDF). However, in some scenarios, the PDFs of some uncertain variables are modeled ...

Contributed by Zdeněk P. Bažant, October 27, 2017 (sent for review August 10, 2017; reviewed by Ross Corotis, George Deodatis, and Arash Yavari) ...

Clay Halton was a Business Editor at Investopedia and has been working in the finance publishing field for more than five years. He also writes and edits personal finance content, with a focus on ...

eInstitute of Medical Biostatistics, Epidemiology, and Informatics, University Medical Centre of Johannes Gutenberg University Mainz, Mainz, Germany fUniversity Cancer Center at University Medical ...

Reliable earthquake recurrence probability assessment is crucial for seismic hazard mitigation but remains challenging due to sparse paleoseismic data on individual faults. We present an enhanced ...

We recently pushed an updated version 2 of this library which adds several new features. New configuration file format with more options on inputs and event topology. Allow for several different ...

When is it appropriate to completely reinvent the wheel? To an outsider, that seems to happen a lot in category theory, and probability theory isn’t spared from this treatment. We’ve had a useful ...

Abstract: The interference induced by doubly-selective channels does not follow a Gaussian distribution, which leads to an inaccurate prediction for the reliability ...