Nature

A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation

As modeling becomes a more widespread practice in the life sciences and biomedical sciences, researchers need reliable tools to calibrate models against ever more complex and detailed data. Here we ...
GitHub

Bayesian inference on the Spikey time series as seen by the PLATO mission

The objective is to find the parameter regime in which a spikey-like SMBHB would be recoverable from PLATO time series using bayesian inference.
BIOENGINEER

Bayesian network predicts dropout risk in continuing education learners

A new Bayesian network framework predicts dropout risk in online continuing education with 88.9 percent cross-validated ...
Visual Studio Magazine

Naive Bayes Classification Using Python

Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...