Foto del docente

Silvia Bianconcini

Professoressa associata

Dipartimento di Scienze Statistiche "Paolo Fortunati"

Settore scientifico disciplinare: SECS-S/01 STATISTICA


Bianconcini, Silvia; Bollen, Kenneth A., The Latent Variable-Autoregressive Latent Trajectory Model: A General Framework for Longitudinal Data Analysis, «STRUCTURAL EQUATION MODELING», 2018, 25, pp. 791 - 808 [articolo]

Silvia, Bianconcini; Estela Bee Dagum,, A comparison of new developments of the Henderson filters for real time trend-cycle estimation, in: American Statistical Association, JSM Proceedings, Business and Economic Section, Alexandria, VA, American Statistical Association, 2017, pp. 1402 - 1412 (atti di: Joint Statistical Meeting, Baltimore, MD, July, 29 - August, 3 2017) [Contributo in Atti di convegno]

Bianconcini, Silvia; Cagnone, Silvia; Rizopoulos, Dimitris, Approximate likelihood inference in generalized linear latent variable models based on the dimension-wise quadrature, «ELECTRONIC JOURNAL OF STATISTICS», 2017, 11, pp. 4404 - 4423 [articolo]

Bee Dagum, E.; Bianconcini, S., A New Set of Asymmetric Filters For Real Time Trend-Cycle Estimation, in: JSM proceedings, Alexandria, VA, American Statistical Association, 2016, pp. 2616 - 2626 (atti di: Joint Statistical Meeting, Chicago, IL, July 30–August 4, 2016) [Contributo in Atti di convegno]

BIANCONCINI, SILVIA; BEE DAGUM, ESTELLE, Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation, ., Springer International Publishing, 2016, pp. XVI, 283 (STATISTICS FOR SOCIAL AND BEHAVIORAL SCIENCES). [libro]

Bee Dagum E.; Bianconcini S., A new set of asymmetric filters for tracking the short-term trend in real time, «THE ANNALS OF APPLIED STATISTICS», 2015, 9, pp. 1433 - 1458 [articolo]

Bianconcini S., Asymptotic properties of adaptive maximum likelihood estimators in latent variable models, «BERNOULLI», 2014, 20, pp. 1507 - 1531 [articolo]

Bianconcini S., Comments on “Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates”, «TEST», 2014, 23, pp. 466 - 468 [replica/breve intervento]

Bee Dagum E.; Bianconcini S., The effects of seasonal adjustment methods in nonparametric trend-cycle prediction., in: JSM Proceedings, Alexandria, VA, American Statistical Association, 2014, pp. 1049 - 1059 (atti di: Joint Statistical Meeting 2014, Boston, MA, 2-7 August 2014) [Contributo in Atti di convegno]

Bianconcini S.; Cagnone S., The role of posterior densities in latent variable models for ordinal data, «COMMUNICATIONS IN STATISTICS. THEORY AND METHODS», 2014, 43, pp. 681 - 692 [articolo]

Bee Dagum E. ; Bianconcini S., A unified probabilistic view of nonparametric predictors via reproducing kernel Hilbert spaces, «ECONOMETRIC REVIEWS», 2013, 32, pp. 848 - 867 [articolo]

Bianconcini S.; Cagnone S., A general multivariate latent growth model with applications to student achievement, «JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS», 2012, 37, pp. 339 - 364 [articolo]

Alexandrov T.; Bianconcini S.; Bee Dagum E.; Maass P.; McElroy T., A review of some modern approaches to the problem of trend extraction, «ECONOMETRIC REVIEWS», 2012, 31, pp. 593 - 624 [articolo]

Bianconcini S.; Cagnone S., Estimation of generalized linear latent variable models via fully exponential Laplace approximation, «JOURNAL OF MULTIVARIATE ANALYSIS», 2012, 112, pp. 183 - 193 [articolo]

Bianconcini S.; Cagnone S., Multivariate latent growth models for mixed data with covariate effects, «COMMUNICATIONS IN STATISTICS. THEORY AND METHODS», 2012, 41, pp. 3079 - 3093 [articolo]

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