14 citations · 17 across the 4 of their papers we have counts for
4 papers · 1 filter
Efficient subsampling for high-dimensional data
Vasilis Chasiotis, Lin Wang, Dimitris Karlis
In the field of big data analytics, the search for efficient subdata selection methods that enable robust statistical inferences with minimal computational resources is of high imp…
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…
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…