Data Science, Statistics and Visualisation 2026
daTa scieNce is the web site of the students in Mathematics for daTa scieNce at the Departement of Mathematics, University of Trento
05-06 February 2026 short course by Angela Andreella on Multiple Testing and Beyond: From Error Control to Post-hoc Inference. Full information at
https://datascience.maths.unitn.it/events/mt2026/index.html#daTascieNce#StatsUnitn#MultipleTestingMultiple Testing and Beyond: From Error Control to Post-hoc Inference
daTa scieNce is the web site of the students in Mathematics for daTa scieNce at the Departement of Mathematics, University of Trento
02 February 2026 seminar by Laura D'angelo on A Bayesian nonparametric approach to discriminant analysis. Full information at
https://datascience.maths.unitn.it/events/bnp2026/index.html#daTascieNce#StatsUnitn#BayesianNonParametric#DiscriminantAnalysisA Bayesian nonparametric approach to discriminant analysis
daTa scieNce is the web site of the students in Mathematics for daTa scieNce at the Departement of Mathematics, University of Trento
29-30 May 2025 short course by Geir Storvik on Statistical aspects to epidemiological models. Full information at
https://datascience.maths.unitn.it/events/saem2025/index.html#daTascieNce #StatsUnitn#EpidemiologyStatistical aspects to epidemiological models
daTa scieNce is the web site of the students in Mathematics for daTa scieNce at the Departement of Mathematics, University of Trento
26-28 May 2025 short course by Sabrina Giordano on Hidden Markov Models for Categorical Data: Methods and Practice with R. Full information at
https://datascience.maths.unitn.it/events/hmm2025/index.html#datTascieNce#StatsUnitn#HiddenMarkvoModelsHidden Markov Models for Categorical Data: Methods and Practice with R
daTa scieNce is the web site of the students in Mathematics for daTa scieNce at the Departement of Mathematics, University of Trento
21 March 2025 seminar by Ruggero Bellio on Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects. Full information at
https://datascience.maths.unitn.it/events/cl2025/index.html#daTascieNce#StatsUnitn #CompositeLikelihoodConsistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects
daTa scieNce is the web site of the students in Mathematics for daTa scieNce at the Departement of Mathematics, University of Trento
Claudio Agostinelli