BIANCONCINI, SILVIA

BIANCONCINI, SILVIA  

DIPARTIMENTO DI SCIENZE STATISTICHE "PAOLO FORTUNATI"  

Docenti di ruolo di IIa fascia  

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Risultati 1 - 20 di 58 (tempo di esecuzione: 0.032 secondi).
Titolo Autore(i) Anno Periodico Editore Tipo File
A general multivariate latent growth model with applications to student achievement Bianconcini S.; Cagnone S. 2012-01-01 JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS - 1.01 Articolo in rivista -
A multilevel latent variable model for multidimensional and longitudinal data Bianconcini S; Cagnone S. 2007-01-01 - EUM – Edizioni 4.01 Contributo in Atti di convegno -
A multilevel latent variable model for multidimensional longitudinal data Bianconcini S.;Cagnone S. 2010-01-01 - Springer Verlag 2.01 Capitolo / saggio in libro -
A reproducing kernel perspective of smoothing spline estimators Bianconcini S. 2008-01-01 - Dipartimento di Scienze Statistiche 3.01 Monografia / trattato scientifico in forma di libro -
A review of some modern approaches to the problem of trend extraction Alexandrov T.; Bianconcini S.; Bee Dagum E.; Maass P.; McElroy T. 2012-01-01 ECONOMETRIC REVIEWS - 1.01 Articolo in rivista -
A Theoretical Comparison Between Classical and Reproducing Kernel Hilbert Space Henderson Predictors Bianconcini S.; Bee Dagum E. 2006-01-01 - Office for Official Publications of the European Commun 3.01 Monografia / trattato scientifico in forma di libro -
A Unified Probabilistic View of Nonparametric Predictors via Reproducing Kernel Hilber Spaces Bee Dagum E.; Bianconcini S. 2008-01-01 - Dipartimento di Scienze Statistiche 3.01 Monografia / trattato scientifico in forma di libro -
A unified probabilistic view of nonparametric predictors via reproducing kernel Hilbert spaces Bee Dagum E. ; Bianconcini S. 2013-01-01 ECONOMETRIC REVIEWS - 1.01 Articolo in rivista -
Approximate inference in latent variable models based on dimension-wise quadrature S. Bianconcini; S. Cagnone 2018-01-01 - - 4.02 Riassunto (Abstract) -
Approximate likelihood inference in generalized linear latent variable models based on integral dimension reduction Silvia Bianconcini; Silvia Cagnone; Dimitris Rizopoulos; 2015-01-01 - - 4.02 Riassunto (Abstract) -
Approximate likelihood inference in generalized linear latent variable models based on the dimension-wise quadrature Bianconcini, Silvia; Cagnone, Silvia; Rizopoulos, Dimitris 2017-01-01 ELECTRONIC JOURNAL OF STATISTICS - 1.01 Articolo in rivista 17-EJS1360.pdf
Approximate likelihood inference in latent variable models for categorical data. Bianconcini S.; Cagnone S.; Rizopoulos D. 2012-01-01 QUADERNI DI STATISTICA - 1.01 Articolo in rivista -
Approximate likelihood inference in latent variable models with application to the Health and Retirement Study Bianconcini S.;Cagnone S.;Rizopoulos D. 2014-01-01 - Conservatoire National des Arts et Metiers (CNAM) 4.02 Riassunto (Abstract) -
Approximate likelihood inference via dimension reduction for multidimensional binary panel data Bianconcini S.; Cagnone S.; Rizopoulos D. 2013-01-01 - Vita e Pensiero 4.01 Contributo in Atti di convegno -
Assessing maths learning gaps using Italian longitudinal data Bianconcini Silvia; Mignani Stefania; Mingozzi Jacopo 9999-01-01 STATISTICAL METHODS & APPLICATIONS - 1.01 Articolo in rivista -
Asymptotic properties of adaptive Gauss-Hermite based estimators in latent variable models. Bianconcini S. 2012-01-01 QUADERNI DI STATISTICA - 1.01 Articolo in rivista -
Asymptotic properties of adaptive maximum likelihood estimators in latent variable models Bianconcini S. 2014-01-01 BERNOULLI - 1.01 Articolo in rivista -
Comments on “Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates” Bianconcini S. 2014-01-01 TEST - 1.04 Replica / breve intervento (e simili) -
Comparison Between Different Estimation Methods of Factor Models for Longitudinal Ordinal Data Bianconcini S.; Cagnone S. 2021-01-01 - Springer Proceedings in Mathematics & Statistics 2.01 Capitolo / saggio in libro -
Comparison between Different Likelihood BasedEstimation Methods in Latent Variable Models for Categorical Data Silvia Bianconcini; Silvia Cagnone 2021-01-01 - Pearson 4.01 Contributo in Atti di convegno -