Sfoglia per Autore
A note on the stationarity of a threshold first-order bilinear process
1998-01-01 Cappuccio, N.; Ferrante, M.; Fonseca, Giovanni
Improved prediction limits for a simple threshold bilinear model
2001-01-01 Fonseca, Giovanni; Vidoni, Paolo
Improving maximum likelihood estimation in mixed linear models
2002-01-01 Fonseca, Giovanni; Giummole', F.; Ventura, L.
Stationary measures for non-irreducible non-continuous Markov chains with time series applications
2002-01-01 Fonseca, Giovanni; Tweedie, R. L.
Geometric ergodicity, regularity of the invariant distribution and inference for a threshold bilinear Markov process
2003-01-01 Ferrante, M.; Fonseca, Giovanni; Vidoni, Paolo
On the Stationarity of First-order Nonlinear Time Series Models: Some Developments
2004-01-01 Fonseca, Giovanni
Stability conditions for a Piecewise Deterministic Markov Process
2005-01-01 Fonseca, Giovanni
On the stability of nonlinear ARMA models
2005-01-01 Fonseca, Giovanni
Calibrating predictive distributions
2010-01-01 Fonseca, Giovanni; Giummole', F; Vidoni, Paolo
Improving estimative prediction regions
2010-01-01 Giummole', F; Fonseca, Giovanni; Vidoni, Paolo
Multidimensional time series estimation in presence of partially missing observations
2010-01-01 Fonseca, Giovanni; Grassetti, Luca
Pairwise likelihood for missing data treatment in VAR models
2010-01-01 Fonseca, Giovanni; Grassetti, Luca
Analysis of an Historic Market Dataset with Large and Sparse Data Missingness
2011-01-01 Fonseca, Giovanni; Grassetti, Luca
Bootstrap calibrated predictive distributions for time series
2011-01-01 Fonseca, Giovanni; Giummole', F; Vidoni, Paolo
Predictive distributions for non-regular parametric models
2011-01-01 Fonseca, Giovanni; Giummole', F; Vidoni, Paolo
Prediction in a multidimensional setting
2011-01-01 Fonseca, Giovanni; Giummole', F; Vidoni, Paolo
A note about calibrated prediction regions and distributions
2012-01-01 Fonseca, Giovanni; Giummole', F; Vidoni, Paolo
Calibrating predictive distributions
2014-01-01 Fonseca, Giovanni; Giummole', F; Vidoni, Paolo
On the winning probabilities and mean durations of volleyball
2014-01-01 Ferrante, Marco; Fonseca, Giovanni
A new markovian model for tennis matches
2017-01-01 Carrari, A.; Ferrante, M.; Fonseca, G.
How long does a tennis game last?
2017-01-01 Ferrante, M.; Fonseca, G.; Pontarollo, S.
Simultaneous calibrated prediction intervals for time series
2018-01-01 Fonseca, Giovanni; Giummolè, Federica; Vidoni, Paolo
Estimation of lineup efficiency effects in Basketball using play-by-play data
2019-01-01 Grassetti, Luca; Bellio, Ruggero; Fonseca, Giovanni; Vidoni, Paolo
Extreme value prediction: an application to sport records
2019-01-01 Fonseca, Giovanni; Giummolè, Federica
Play-by-play data analysis for team managing in basketball
2019-01-01 Grassetti, Luca; Bellio, Ruggero; Fonseca, Giovanni; Vidoni, Paolo
A note on simultaneous calibrated prediction intervals for time series
2020-01-01 Fonseca, G.; Giummole, F.; Vidoni, P.
An extended regularized adjusted plus-minus analysis for lineup management in basketball using play-by-play data
2021-01-01 Grassetti, Luca; Bellio, Ruggero; Di Gaspero, Luca; Fonseca, Giovanni; Vidoni, Paolo
Probabilistic prediction: aims and solutions
2022-01-01 Fonseca, Giovanni; Giummolè, Federica; Vidoni, Paolo
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