Sfoglia per Autore
Note on a new generalization of the skew normal distribution
2012-01-01 Mameli, V.; Musio, M.
Large sample confidence intervals for the skewness parameter of the skew-normal distribution based on Fisher's transformation
2012-01-01 Mameli, Valentina; Musio, Monica; Sauleau, Erik; Biggeri, Annibale
Recent asymptotics for the parameter of skewness: an application to mono-zygotic twin studies
2013-01-01 Mameli, V.; Brazzale, A. R.
Study of the longevity in Sardinia: an application of the beta skew-normal regression
2013-01-01 Mameli, V.; Musio, M.; Deiana, L.
Using Integrated Nested Laplace Approximations for Modelling Spatial Healthcare Utilization
2013-01-01 Musio, Monica; Sauleau, Erik-A.; Mameli, Valentina
A Generalization of the Skew-Normal Distribution: The Beta Skew-Normal
2013-01-01 Mameli, Valentina; Musio, Monica
Small-sample likelihood asymptotics for the equi-correlated bivariate normal model
2014-01-01 Brazzale, A. R.; Mameli, V.
Comparison of approaches to inference in stationary AR(1) models
2014-01-01 Mameli, V.; Musio, M.; Dawid, A. P.
Small-sample inference on measures of concordance for the Gaussian bivariate copula with emphasis on Gini’s gamma index
2015-01-01 Mameli, Valentina; Brazzale, A. R.
Simulated adjustment of the signed scoring rule root statistic
2015-01-01 Mameli, Valentina; Musio, M.; Ventura, L.
Scoring rules for prediction
2015-01-01 Mameli, Valentina; Giummolè, Federica
Hyvärinen scoring rule estimators for a single linear time series
2015-01-01 Columbu, S; Mameli, Valentina; Musio, M
Higher-order adjustments of the signed scoring rule root statistic
2015-01-01 Mameli, Valentina; Musio, M; Ventura, L
The Kumaraswamy skew-normal distribution
2015-01-01 Mameli, Valentina
Higher-order asymptotics for scoring rules
2015-01-01 Mameli, Valentina; Ventura, Laura
Reference priors based on composite likelihoods
2016-01-01 Giummole', Federica; Mameli, Valentina; Ventura, Laura
On the use of the Hyvarinen score in Bayesian inference
2016-01-01 Mameli, V; Musiom, ; Ventural,
Some New Results on the Beta Skew-Normal Distribution
2016-01-01 Mameli, Valentina; Musio, Monica
Reducing dimensionality of molecular systems: a Bayesian non-parametric approach
2016-01-01 Mameli, Valentina; Lunardon, Nicola; Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene
Modern likelihood inference for the maximum/minimum of a bivariate normal vector
2016-01-01 Mameli, V.; Brazzale, A. R.
Bootstrap group penalty for highdimensional regression models
2017-01-01 Mameli, Valentina; Slanzi, Debora; Poli, Irene
Evolving multi-objective optimization in high dimensional systems
2017-01-01 Slanzi, Debora; Mameli, Valentina; Khoroshiltseva, Marina; Poli, Irene
Characterizations of the Generalized Beta-generated family of distributions
2017-01-01 Hamedani, G. G.; Mameli, V.
Bootstrap ClustGeo with spatial constraints
2018-01-01 Distefano, V.; Mameli, V.; Della Marra, F.
On the estimation of high-dimensional regression models with binary covariates
2018-01-01 Mameli, Valentina; Slanzi, Debora; Irene, Poli
On Bayesian high-dimensional regression with binary predictors: a simulation study
2018-01-01 Slanzi, D.; Mameli, V.; Poli, I.
Asymptotic minimum scoring rule prediction
2018-01-01 Giummole', Federica; Mameli, Valentina
Multi-objective Optimization in High-Dimensional Molecular Systems
2018-01-01 Slanzi, Debora; Mameli, Valentina; Khoroshiltseva, Marina; Poli, Irene
Bootstrap adjustments of signed scoring rule root statistics
2018-01-01 Mameli, Valentina; Monica, Musio; Laura, Ventura
Modelling properties of high-dimensional molecular systems
2019-01-01 Slanzi, D.; Mameli, V.; Poli, I.
Estimating High-Dimensional Regression Models with Bootstrap group Penalties
2019-01-01 Mameli, V.; Slanzi, D.; Poli, I.
Statistical classics in the big data era. When (astro-physical) models are nonregular.
2019-01-01 Rosalba Brazzale, Alessandra; Mameli, Valentina
Frequentist and Bayesian small-sample confidence intervals for Gini’s gamma index in a Gaussian bivariate copula
2019-01-01 Mameli, Valentina; Brazzale, Alessandra R.
Objective Bayesian inference with proper scoring rules
2019-01-01 Giummolè, F.; Mameli, V.; Ruli, E.; Ventura, L.
Robust Composite Inference
2020-01-01 Mameli, Valentina; Musio, Monica; Ruli, Erlis; Ventura, Laura
Comparing predictive distributions in EMOS
2020-01-01 Giummolè, Federica; Mameli, Valentina
Identifying spatial patterns with the Bootstrap ClustGeo technique
2020-01-01 Distefano, Veronica; Mameli, Valentina; Poli, Irene
Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy
2020-01-01 Girardi, Paolo; Greco, Luca; Mameli, Valentina; Musio, Monica; Racugno, Walter; Ruli, Erlis; Ventura, Laura
The Hyvärinen scoring rule in Gaussian linear time series models.
2021-01-01 Columbu, Silvia; Mameli, Valentina; Musio, Monica; Dawid, Alexander Philip
Search for relevant subsets of binary predictors in high dimensional regression for discovering the lead molecule
2021-01-01 Mameli, Valentina; Slanzi, Debora; Poli, Irene; Green, Darren V. S.
Ensemble model output statistics for temperature forecasts in Veneto
2022-01-01 Gaetan, Carlo; Giummolè, Federica; Mameli, Valentina; Siad, Si Mokrane
Prediction intervals based on multiplicative model combinations
2022-01-01 Mameli, Valentina; Vidoni, Paolo
Confidence predictive distributions: an application to temperature forecasting in Veneto
2023-01-01 Giummolè, F.; Mameli, V.
A comparative study on high-dimensional bayesian regression with binary predictors
2023-01-01 Slanzi, Debora; Mameli, Valentina; Brown, Philip J.
Calibrated EMOS: applications to temperature and wind speed forecasting
2024-01-01 Gaetan, Carlo; Giummolè, Federica; Mameli, Valentina
Likelihood Asymptotics in Nonregular Settings: A Review with Emphasis on the Likelihood Ratio
In corso di stampa Brazzale Alessandra, R.; Mameli, Valentina
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