Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Mixture model
Showing results 1 to 4 of 4
| Issue Date | Title | Author(s) |
|---|---|---|
| 2016 | Analysis of ChIP-seq data via Bayesian finite mixture models with a non-parametric component | Alhaji, BB; Dai, H; Hayashi, Y; Vinciotti, V; Harrison, A; Lausen, B |
| 2015 | Bayesian analysis for mixtures of discrete distributions with a non-parametric component | Alhaji, BB; Dai, H; Hayashi, Y; Vinciotti, V; Harrison, A; Lausen, B |
| 29-Aug-2019 | Heteroscedastic and Heavy-tailed Regression with Mixtures of Skew Laplace Normal Distributions | Yu, K; Doğru, FZ |
| 2014 | Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations | Hastie, DI; Liverani, S; Richardson, S |