The embedded Python Processing Engine in InfluxDB 3 allows developers to write Python code that analyzes and acts on time ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

Computational models are mathematical models that are simulated using computation to study complex systems. In biology, one example is the use of a computational model to study an outbreak of an ...

This article presents a deep learning approach using a bidirectional self-rectifying network with Bayesian modeling (BSNBM) for improving detection accuracy, in dealing with the embedded uncertainty ...

We propose a Bayesian model averaging (BMA) post-processing method suitable for forecasting power from utility-scale photovoltaic (PV) plants at multiple time horizons up to at least the day-ahead ...

The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...

This paper presents a Bayesian analysis of high-dimensional descriptor data ... binding affinity data with the protein pyruvate kinase to train and assess our model averaging algorithm and then apply ...