71 citations · 110 across the 48 of their papers we have counts for
4 papers · 1 filter
False discovery rate control under reduced precision computation for analysis of neuroimaging data
Hien D. Nguyen, Yohan Yee, Geoffrey J. McLachlan +1
The mitigation of false positives is an important issue when conducting multiple hypothesis testing. The most popular paradigm for false positives mitigation in high-dimensional ap…
Randomized Mixture Models for Probability Density Approximation and Estimation
Hien D. Nguyen, Dianhui Wang, Geoffrey J. McLachlan
Randomized neural networks (NNs) are an interesting alternative to conventional NNs that are more used for data modeling. The random vector functional-link (RVFL) network is an est…
Positive data kernel density estimation via the logKDE package for R
Andrew T. Jones, Hien D. Nguyen, Geoffrey J. McLachlan
Kernel density estimators (KDEs) are ubiquitous tools for nonparametric estimation of probability density functions (PDFs), when data are obtained from unknown data generating proc…
Model-Based Clustering and Classification of Functional Data
Faicel Chamroukhi, Hien D. Nguyen
The problem of complex data analysis is a central topic of modern statistical science and learning systems and is becoming of broader interest with the increasing prevalence of hig…