Lifetimes of chemical species are typically estimated by either fitting time-correlated single-
photon counting (TCSPC) histograms or phasor analysis from time-resolved photon arrivals …

Predicting the future performance of young runners is an important research issue in
experimental sports science and performance analysis. We analyse a dataset with annual …

Finite mixtures are a flexible modeling tool for irregularly shaped densities and samples from
heterogeneous populations. When modeling with mixtures using an exchangeable prior on …

We introduce the R package pivmet, a software that performs different pivotal methods for
identifying, extracting, and using the so-called pivotal units that are chosen from a partition of …

We consider a Bayesian model-based clustering technique that directly accounts for network
relations between territorial units and their position in a geographical space. This proposal is …

Bayesian nonparametric mixture models offer a rich framework for model-based clustering.
We consider the situation where the kernel of the mixture is available only up to an …

In this article, we propose a minimum Hellinger distance estimation (MHDE) for a
semiparametric two-component mixture model where the two components are unknown …

In this paper, we propose a Bayesian approach to model uncertainty in the bid arrival time
by focusing on the time of the first bid in secondary (retail) market online business-to …

The identification of groups' prototypes, ie elements of a dataset that represent different
groups of data points, may be relevant to the tasks of clustering, classification and mixture …

An algorithm for extracting identity submatrices of small rank and pivotal units from large and
sparse matrices is proposed. The procedure has already been satisfactorily applied for …