JSTOR Daily

Flexible Bayesian quantile curve fitting with shape restrictions under the Dirichlet process mixture of the generalized asymmetric Laplace distribution

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 49, No. 3 (September/septembre 2021), pp. 698-730 (33 pages) We propose a flexible Bayesian semiparametric quantile ...
JSTOR Daily

An Empirical Bayes Approach to Growth Curve Analysis

Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 45, No. 1 (1996), pp. 3-19 (17 pages) Consider an experiment designed to compare $G ...
Visual Studio Magazine

Gaussian Naive Bayes Classification Using the scikit Library

Dr. James McCaffrey of Microsoft Research says the main advantage of using Gaussian naive Bayes classification compared to other techniques like decision trees or neural networks is that you don't ...
EurekAlert!

The single GDR peak (γ, n) cross-section data for 127I, 197Au, and 207Pb predicted by the Bayesian neural network (red curve) are compared with experimental data (color dots ...

Credit must be given to the creator. Only noncommercial uses of the work are permitted. Comparison of the BNN predictions (red curve) and experimental values (black squares) of 159Tb for the training ...
Diginomica

Can Bayesian Networks provide answers when Machine Learning comes up short? It's a question of probabilities

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here's a deeper look at why "Bayes Nets" are underrated - especially when it comes to addressing probability and ...