Foto del docente

Silvia Bianconcini

Associate Professor

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: SECS-S/01 Statistics


Bianconcini S.; Cagnone S., Comparison Between Different Estimation Methods of Factor Models for Longitudinal Ordinal Data, in: Wiberg M; Molenaar D.; González J.; Böckenholt U.; Kim J.S., Quantitative Psychology, xxx, Springer Proceedings in Mathematics & Statistics, 2021, pp. 9 - 21 [Chapter or essay]

Silvia Bianconcini; Silvia Cagnone, Comparison between Different Likelihood BasedEstimation Methods in Latent Variable Models for Categorical Data, in: Perna C., Salvati N., Schirripa Spagnolo N., Book of Short Papers SIS 2021, Pearson, 2021, pp. 151 - 156 (atti di: Sis 2021, On-line, 21-25 giugno 2021) [Contribution to conference proceedings]

Bianconcini S.; Cagnone S., Dynamic latent variable models for the analysis of cognitive abilities in the elderly population, «STATISTICS IN MEDICINE», 2021, 40, pp. 4410 - 4429 [Scientific article]

Mura M.; Longo M.; Toschi L.; Zanni S.; Visani F.; Bianconcini S., The role of geographical scales in sustainability transitions: An empirical investigation of the European industrial context, «ECOLOGICAL ECONOMICS», 2021, 183, pp. 1 - 15 [Scientific article]

Hugo E. lombardini; Silvia Bianconcini, Corpus léxico y diccionario: la estricta representatividad estadística, «ORILLAS RIVISTA D'ISPANISTICA», 2019, 8, pp. 675 - 693 [Scientific article]

Silvia Bianconcini ; Dagum Estelle, Trend-cycle filters comparison for real time macroeconomic data, in: American Statistical Association, JSM Proceedings, Alexandria, VA, American Statistical Association, 2019, pp. 1 - 11 (atti di: Joint Statistical Meeting, Denver, Colorado, 27 luglio - 1 agosto 2019) [Contribution to conference proceedings]

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 [Scientific article]

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) [Contribution to conference proceedings]

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 [Scientific article]

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) [Contribution to conference proceedings]

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). [Research monograph]

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 [Scientific article]

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

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 [Comment or similar]

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) [Contribution to conference proceedings]

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