The mixed model for the analysis of a repeated‐measurement multivariate count data
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in Medicine"
DOI: 10.1002/sim.8101
Abstract: Clustered overdispersed multivariate count data are challenging to model due to the presence of correlation within and between samples. Typically, the first source of correlation needs to be addressed but its quantification is of less… read more here.
Keywords: model; multivariate count; count data; mixed model ... See more keywords
Complex ecological phenotypes on phylogenetic trees: a Markov process model for comparative analysis of multivariate count data.
Sign Up to like & getrecommendations! Published in 2020 at "Systematic biology"
DOI: 10.1093/sysbio/syaa031
Abstract: The evolutionary dynamics of complex ecological traits - including multistate representations of diet, habitat, and behavior - remain poorly understood. Reconstructing the tempo, mode, and historical sequence of transitions involving such traits poses many challenges… read more here.
Keywords: complex ecological; phylogenetic trees; model; multivariate count ... See more keywords
Multivariate Count Data Models for Time Series Forecasting
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23060718
Abstract: Count data appears in many research fields and exhibits certain features that make modeling difficult. Most popular approaches to modeling count data can be classified into observation and parameter-driven models. In this paper, we review… read more here.
Keywords: data models; model; models time; multivariate count ... See more keywords