research
∙
07/10/2023
Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression
High-dimensional spectral data – routinely generated in dairy production...
share
research
∙
11/23/2022
A Latent Shrinkage Position Model for Binary and Count Network Data
Interactions between actors are frequently represented using a network. ...
research
∙
11/03/2022
betaclust: a family of mixture models for beta valued DNA methylation data
The DNA methylation process has been extensively studied for its role in...
research
∙
06/04/2020
Inferring food intake from multiple biomarkers using a latent variable model
Metabolomic based approaches have gained much attention in recent years ...
research
∙
08/21/2019
Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models
Sequence analysis is an increasingly popular approach for the analysis o...
research
∙
02/20/2019
Combining biomarker and self-reported dietary intake data: a review of the state of the art and an exposition of concepts
Classical approaches to assessing dietary intake are associated with mea...
research
∙
06/21/2018
