155 citations · 313 across the 15 of their papers we have counts for
5 papers · 1 filter
Efficient probabilistic reconciliation of forecasts for real-valued and count time series
Lorenzo Zambon, Dario Azzimonti, Giorgio Corani
Hierarchical time series are common in several applied fields. The forecasts for these time series are required to be coherent, that is, to satisfy the constraints given by the hie…
Time series forecasting with Gaussian Processes needs priors
Giorgio Corani, Alessio Benavoli, Marco Zaffalon
Automatic forecasting is the task of receiving a time series and returning a forecast for the next time steps without any human intervention. Gaussian Processes (GPs) are a powerfu…
A Bayesian Hierarchical Score for Structure Learning from Related Data Sets
Laura Azzimonti, Giorgio Corani, Marco Scutari
Score functions for learning the structure of Bayesian networks in the literature assume that data are a homogeneous set of observations; whereas it is often the case that they com…
Hierarchical Multinomial-Dirichlet model for the estimation of conditional probability tables
L. Azzimonti, G. Corani, M. Zaffalon
We present a novel approach for estimating conditional probability tables, based on a joint, rather than independent, estimate of the conditional distributions belonging to the sam…
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis
Alessio Benavoli, Giorgio Corani, Janez Demsar +1
The machine learning community adopted the use of null hypothesis significance testing (NHST) in order to ensure the statistical validity of results. Many scientific fields however…