14 citations · 17 across the 3 of their papers we have counts for
5 papers
Bayesian inference for transportation origin-destination matrices: the Poisson-inverse Gaussian and other Poisson mixtures
Konstantinos Perrakis, Dimitris Karlis, Mario Cools +1
In this paper we present Poisson mixture approaches for origin-destination (OD) modeling in transportation analysis. We introduce covariate-based models which incorporate different…
Infinite mixtures of multivariate normal-inverse Gaussian distributions for clustering of skewed data
Yuan Fang, Dimitris Karlis, Sanjeena Subedi
Mixtures of multivariate normal inverse Gaussian (MNIG) distributions can be used to cluster data that exhibit features such as skewness and heavy tails. However, for cluster analy…
A Bayesian approach for clustering skewed data using mixtures of multivariate normal-inverse Gaussian distributions
Yuan Fang, Dimitris Karlis, Sanjeena Subedi
Non-Gaussian mixture models are gaining increasing attention for mixture model-based clustering particularly when dealing with data that exhibit features such as skewness and heavy…
Clustering Discrete-Valued Time Series
Tyler Roick, Dimitris Karlis, Paul D. McNicholas
There is a need for the development of models that are able to account for discreteness in data, along with its time series properties and correlation. Our focus falls on INteger-v…
An integer-valued time series model for multivariate surveillance
Xanthi Pedeli, Dimitris Karlis
In recent days different types of surveillance data are becoming available for public health reasons. In most cases several variables are monitored and events of different types ar…