RICERCA ITALIANA     

Programmi di ricerca simili:

• 1 - Trattamento statistico della complessità e dell'incertezza negli studi ambientali
• 2 - Modelli grafici, a classi latenti, e per dati panel: sviluppi metodologici ed applicazioni nel campo dell’istruzione e della salute.
• 3 - Metodi bayesiani non parametrici per il clustering, l'analisi della sopravvivenza e la previsione del numero di specie
• 4 - Misurazione del rischio di credito
• 5 - Metodologie di raccolta ed analisi dei dati ambientali
• 6 - Nuovi metodi di verosimiglianza per modelli statistici complessi
• 7 - Metodi inferenziali classici e bayesiani in classi di modelli econometrici per la finanza
• 8 - Sintesi automatica di modelli astratti a partire da dati temporali o spaziali
• 9 - Modelli marginali per variabili categoriche con applicazioni all'analisi causale
• 10 - METODI DI FINANZIAMENTO, VALUTAZIONE E BENCHMARCHING DEI SISTEMI SANITARI

Classificazione scientifico-disciplinare

• Area scientifico disciplinare: Scienze economiche e statistiche
  • STATISTICA
  • STATISTICA PER LA RICERCA SPERIMENTALE E TECNOLOGICA

Classificazione geografica

• Regione: Lombardia

Bibliografia

Adelfio G., Chiodi M., De Luca L., Luzio D. (2006, GRASPA) Nonparametric clustering of seismic events. Springer-Verlag, Heidelberg. In press.
Bardeschi A., Colucci A., Gianelle V., Gnagnetti M., Tamponi M., Tebaldi G. (1991) Analysis of the impact on air quality of motor vehicle traffic in the Milan urban area. Atmos. Environ., 25B, 415-428.
Bellini P, Terracini B, Biggeri A, Baccini M (2005, GRASPA) The Meta-analysis of the Italian studies on Short-term health effects of Air pollution (MISA) : old and new issues on the interpretation of the statistical evidences. Environmetrics. In print.
Besag J., Green P.J., Higdon D., Mengersen K. (1995) Bayesian computation and stochastic systems. Statistical Science, 10, 3-41.
Biggeri A, Baccini M et al. (2005) Short term effects of apparent temperatureon mortality in European cities: results from the PHEWE projects. Epidemiology, 16, S140.
Biggeri A, Bellini P, Terracini B e il gruppo MISA (2004, GRASPA) Meta analisi italiana degli studi sugli effetti a breve termine dell'inquinamento atmosferico 1996-2002. Epidemiologia e Prevenzione, 28, supplemento.
Biggeri, A., Lagazio, C. (1999, GRASPA) Case-control analysis of risk around putative sources. In: Lawson, A.B., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.F., Bertolini, R. (eds) Disease Mapping and Risk Assessment for Public Health. Wiley: New York.
Boehning D. (2000) Computer-assisted analysis of mixtures and applications. Chapman & Hall.
Brown P.E., Diggle P.J., Lord M.E. and Young P.C. (2001) Space-time calibration of radar rainfall data. Appl. Statist., 50, 221-241.
Bruno F., Cocchi D. (2002) A unified strategy for building simple air quality indices. Environmetrics, 13, 3 , 243 – 261
Cameron A.C., Trivedi P.K.(1998) Regression Analysis of Count Data. Cambridge University Press.
Cappé O., Moulines E., T. Ryden (2005) Inference in Hidden Markov Models. Springer, New York.
Coles S. (2001). An Introduction to Statistical Modeling of Extreme Values. Springer, London.
Diggle, P.J., Rowlingson (1994) A conditional approach to point process modelling of raised incidence, JRSS, A, 157, 433-440.
Draghicescu D., Ignaccolo R. (2006, GRASPA) Space-time smoothed indicator kriging. Preprint sottoposto a referaggio.
Fassò A. (2006b, GRASPA) Sensitivity Analysis for Environmental Models and Monitoring Networks. Proceedings of iEMSs 2006, 3rd Biennial meeting of the International Environmental Modelling and Software Society, July 9-12, Burlington, Vermont.
Fassò A., Cameletti M., Nicolis O. (2006a, GRASPA) Air quality monitoring using heterogeneous networks. Environmetrics, to appear.
Fassò A., Esposito E., Porcu E., Reverberi A.P., Vegliò F. (2003, GRASPA) Statistical Sensitivity Analysis of Packed Column Reactors for Contaminated Wastewater. Environmetrics, 14, 743-759.
Fassò A., Nicolis O. (2004, GRASPA) Modelling dynamics and uncertainty in assessment of quality standards for fine particulate matters. Working Paper GRASPA, 21.
Fassò A., Nicolis O. (2005, GRASPA) Space-time integration of heterogeneous networks in air quality monitoring. Atti SIS, Messina 21-23 Settembre.
Fassò A., Perri P.F. (2002, GRASPA) Sensitivity Analysis. A. El-Sharaawi & W. Piegorsch (eds) Encyclopedia of Environmetrics, Wiley, 4, 1968-1982.
Gaetan C., Grigoletto M. (2006, GRASPA) A hierarchical model for the analysis of spatial rainfall extremes. Preprint.
Ghosh S., Draghicescu D. (2002) An algorithm for optimal bandwidth selection for smooth nonparametric quantile estimation. Statistical Data Analysis Based on the L1-Norm and Related Methods. Birkhauser, 161–168.
Jansakul N., Hinde J.P. (2002) Score tests for zero-inflated Poisson models. Computational Statistics & Data Analysis, 40.
Katsouyanni K, Touloumi G, Samoli E et al. (2001) Confounding and effect modification in the short-term effects of ambient particles on total mortality: results from 29 European cities within the APHEA2 project. Epidemiology, 12(5), 521-31.
Lagona, F. (2005, GRASPA) Air quality indices via non homogeneous hidden Markov models. In: Proceedings of the Scientific Meeting of the Italian Statistical Society “Statistics And Environment”. Sept. 21-23, 2005.
Lee, Y., Nelder, J.A. (2001) Hierarchical generalized linear models: a synthesis of generalised linear models, random-effect models and structured dispersions. Biometrika, 88, 987-1006.
Lovison G. (2005) On Rao Score and Pearson X2 Statistics in Generalized Linear Models. Statistical Papers, 46 (4), pp. 555-574.
MacDonald I.L., Zucchini W. (1997) Hidden Markov and other models for discrete-valued time series. Chapman Hall.
Mantovan P., Pastore A., Tonellato S. (2000, GRASPA). A comparison between parallel algorithms for system parameter estimation in dynamic linear models. Applied Stochastic Models in Business and Industry, 369-378.
Mardia K.V., Goodall C., Redfern E.J. and Alonso F.J. (1998) The Kriged Kalman Filter. Test, 7, 217-252.
Mendola D. (2003) Road traffic restrictions and air pollution in an urban area. A case study in Palermo. Working Paper GRASPA, 16.
Molenberghs G., Verbeke G. (2005) Models for Discrete Longitudinal Data. Springer-Verlag, NY.
Morris, S.E., Wakefield, J.C. (2000) Assessment of disease risk in relation to a pre-specified source. In: Spatial Epidemiology – Methods and Applications, Elliot, P., Wakefield J., Best, N.G., Briggs, D.J. Ed.’s, Oxford University Press.
Oakley J. and O'Hagan A. (2004) Probabilistic sensitivity analysis of complex models: a Bayesian approach. J.R.Statist. Soc. B, 66, 3, 751-769.
Pastres R., Ciavatta S. and Solidoro C. (2003, GRASPA) The Extended Kalman Filter (EKF) as a tool for the assimilation of high-frequency water quality data. Ecological Modelling, 170, 227-235.
Pergent G. (1990) Lepidochronological analysis in the seagrass Posidonia oceanica: a standardized approach. Aquat. Bot., 37,39-54.
Sahu S.K., Mardia K.V. (2005, GRASPA) A Bayesian Kriged Kalman Filter for short term forecasting of air pollution levels. Journal of the Royal Statistical Society, C 54, 223-254.
Sahu S.K., Gelfand A.E., Holland D.M. (2006, GRASPA) Spatio-temporal modeling of fine particulate matter. Journal of Agricultural, Biological, and Environmental Statistics, 11, 61-86.
Saltelli A., Tarantola S., Campolongo F., Ratto M. (2004) Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models. Wiley.
Schlattmann P. (2005) On bootstrapping the number of components in finite mixtures of Poisson distributions. Statistics and Computing, 15.
Sciandra M., Lovison G. (2005) Regression diagnostics to analyze complex ecological systems through Generalized Linear Mixed Models. In: Atti del Convegno Intermedio S.I.S., Messina 21-23 settembre 2005, 261-264.
Short M., Carlin B.P., Gelfand A. (2005) Bivariate spatial process modeling for constructing indicator or intensity weighted spatial CDFs. JABES, 10, 3, 259–275.
Smith R.L., Kolenikov S., Cox L.H. (2003) Spatio-temporal modeling of PM2.5 data with missing values. J. Geophys. Res., 108(D24), 11-1
Viviano L., Muggeo V., Lovison G. (2005, GRASPA) Using Zero-Inflated Models to analyze environmental data sets with many zeroes. In: Atti del Convegno Intermedio S.I.S., Messina 21-23 settembre 2005, 47-50.
Wang P. (2001) Markov zero-inflated Poisson regression models for a time series of counts with excess zeros. Journal of Applied Statistics, 28.
Wikle CK, Cressie N. (1999) A dimension-reduced approach to space-time kalman filtering. Biometrika, 86, 815-824.
Wikle C.K. (2003) Hierarchical models in environmental science. International Statistical Review, 71 , 181-199.

Parole Chiave

STATISTICA AMBIENTALE, MODELLI SPAZIO-TEMPORALI, MODELLI SPAZIALI, MODELLI GERARCHICI, SERIE STORICHE DISCRETE, MODELLI MARKOVIANI LATENTI, PROCESSI DI PUNTO, MAPPE DI RISCHIO, ANALISI DI SENSITIVITÀ