GC
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Projects
A Bayesian hierarchical approach for spatial analysis of climate model bias in multi-model ensembles
Università Ca' Foscari Venezia
Bayesian hierarchical model for assessment of climate model biases
Università Ca' Foscari Venezia
A flexible dependence model for spatial extremes
Università Ca' Foscari Venezia
Latent process modelling of threshold exceedances in hourly rainfall series
Università Ca' Foscari Venezia
Posterior likelihood ratios for evaluation of forensic trace evidence given a two-level model on the data by Alberink et al (2013)
Università Ca' Foscari Venezia
Sequential clustering based on Dirichlet Process Priors
Università Ca' Foscari Venezia
Using Twitter Data to Monitor Political Campaigns and Predict Election Results
Università Ca' Foscari Venezia
Spatial clustering of curves with an application of satellite data
Università Ca' Foscari Venezia
ClusteringUniversità Ca' Foscari VeneziaChlorophyll-aUniversità Ca' Foscari Veneziasatellite dataUniversità Ca' Foscari Veneziausing quantiles
Università Ca' Foscari Venezia
Comment on Article by Page and Quintana
Università Ca' Foscari Venezia
Model-based lead molecule design
Università Ca' Foscari Venezia
Model-Based Lead Molecule Design
Università Ca' Foscari Venezia
Characterizations of the Generalized Beta-generated family of distributions.
Università Ca' Foscari Venezia
A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices
Università Ca' Foscari Venezia
Improving the accuracy of likelihood-based inference in meta-analysis and meta-regression
Università Ca' Foscari Venezia
Penalized likelihood inference in meta-regression
Università Ca' Foscari Venezia
On the use of the Hyvarinen score in Bayesian inference
Università Ca' Foscari Venezia
Reducing dimensionality of molecular systems: a Bayesian non-parametric approach
Università Ca' Foscari Venezia
Reducing Dimensionality in Molecular Systems: A Bayesian Non-parametric Approach
Università Ca' Foscari Venezia
Bootstrap group penalty for highdimensional regression models
Università Ca' Foscari Venezia
On the estimation of high-dimensional regression models with binary covariates
Università Ca' Foscari Venezia
Mathe
Università Ca' Foscari Venezia
Measuring systemic risk through statistical combination
Università Ca' Foscari Venezia
The Pairwise Expectation Maximization Algorithm for Fitting Parameter-Driven Models
Università Ca' Foscari Venezia
Artificial Life and Evolutionary Computation.
Università Ca' Foscari Venezia
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gabriella.traviglia@unive.it / info@venezia86.it