Scientific Research Publishing

Bayesian Non-Parametric Mixture Model with Application to Modeling Biological Markers ()

1 Department of Mathematics, Pan African University Institute for Basic Sciences, Technology and Innovation, Nairobi, Kenya.
Europe PMC

Non-parametric Bayesian mixture model to study adverse events of COVID-19 vaccines

The vaccine adverse event reporting system (VAERS) is a vital resource for post-licensure vaccine safety monitoring and has ...
IEEE

A Non-Parametric Bayesian Approach to Spike Sorting

Abstract: In this work we present and apply infinite Gaussian mixture modeling, a non-parametric Bayesian method, to the problem ...
Frontiers

Assessing the Impact of Precision Parameter Prior in Bayesian Non-parametric Growth Curve Modeling

Moving Beyond Non-Informative Prior Distributions: Achieving the Full Potential of Bayesian Methods for Psychological Research ...
GitHub

Non-parametric kernel methods for updating a Bayesian model's parameters with new batches of data

One of the big attractions for people adopting Bayesian methods is the promise of "updating" their parameter estimates and ...
Europe PMC

A non-parametric Bayesian approach for adjusting partial compliance in sequential decision making.

Existing methods for estimating the mean outcome under a given sequential treatment rule often rely on intention-to-treat ...