His research work has been applied –on a theoretical level- to data multivariate analysis problems
particularly to those ones, which are into an overlapping area between statistic and optimization,
such as classification- and bound classification problems; on an application level, his research has
been addressed to the study of physical environmental systems and especially of economic ones.
His work is divided into two main areas: one concerning the study of time series and the other
concerning data multivariate analysis.
He develops some subjects within stationary stochastic processes, which become object of seminars
and publications at Rome University (1969). Then he is interested in the approach to time series by
spectral analysis bent on the identification of the structure which produces series. In this field he
publishes a text (1974) inclusive of calculation problems and some articles about the joint use of
multivariate techniques with those ones, which are peculiar of spectral analysis in order to data
analysis. He applies to the study of stochastic processes and their representation: According to Box
and Jenkins he underlines the modellization aspect and during the statistics-mathematics course at
L’Aquila University he carries out his own teaching support (1983). From the necessity to operate
on theoretical and application level he sets some interesting and innovative methods for seasonal
(1981) and seasonal adjustment problems (1998) of time series. He recently carries out a research
together with ISTAT about the individuation of methods for the forward valuation of important
economics marks (1992 and 1995).
He is in multivariate analysis problems on the occasion of a stage at Direction Scientifique of Sema
in Paris, when he has a chance to make contact with the students of Analyse des Données school,
which has in J.P. Benzécrì its undisputed Master. He attends the Laboratoire at P. & M. Curie
University and he gets in this new area, which –born in the 70s- has further increased the field of
methods at disposal for the study of complex phenomena together with the development of data
processing abilities. On his return to Italy he supervises the spreading of one of the first packages of
the area (PSD Data Structuring Programs) and he makes a contribution to calculation processes
(1970) and their diffusion by including them in the program of a course at O.R. School since 1974.
He particularly works about some classification methods applied to the analysis on the territory
(1974 and 1976) and he points out that a lot of clustering problems are formally equivalent to
optimization problems of graphs best partition type (1976). So he works out an algorithm of best
partition of common graphs (1979) which, if they are put into calculation programs, they allow to
compare their soundness and whose performances are still compared successfully (1955) many
years from its first original realization.
1. Maravalle, M. (1990). Geographie politique de l'Italie d'apres les votes aux quatre scrutinsnationaux de 1983 aú 1989;[POL-ITALIE]. Les Cahíers de l'Analyse des Données, Vol.XV,1-172. Maravalle, M., Simeone B. (1990). A spannìng tree heuristic for regional clustering.Ricerche -Serie A - n. 29 - Dipartimento di Statistica, Probabilità e Statistiche Applicate.Università di Roma La Sapienza.3. Maravalle, M., Badran H. (1994). Géographie politique de l'Italie:Les Referendums d'avril1993 comparés à des scrutins antérieurs; Les Cahiers de l'Analyse des Donneés, Vol.XIX, 4 , pp. 423-442.4. Maravalle, M., Benedetti, E., Coccìa, M., Parisi M.C. (1996) Esercizi di Statistica svolti dalMood, Graybill e Boes. McGraw-Hill Italia.5. Maravalle, M., Simeone B. (1995). A Spanning Tree Heuristic for Regional Clustering.Communications in Statistics - Theory and Methods, Vol 24,(3) pp. 625-640.6. Maravalle, M., Simeone B., Naldini R. (1997). Clustering on trees - Computational Statistics& Data Analysis 24 217-234.7. Maravalle, M. (1997) Grawing intersection between time series and data analysis. Lavoropresentato alla Riunione Scientifica del Gruppo di Classificazione aderente all' IFCSPescara3-4 luglio.8. Ciammola, A., Maravalle, M. (1998). A critical analysis of the logarithmic transformation ofeconomic time series using simulation. In "Seasonal adjustment procedures - Experiencesand prospectives". In corso di pubblicazione Istat - Roma.9. Coccìa, M., Maravalle, M. (1999). Stima anticipata e previsione dell'indice provvisorio dellaproduzione industriale. In "Modelli e Strumenti per l'Analisi Economica a Breve Termine ".Annali di Statistica- Anno 128- Serie X-vol.17-335-348. Istat - Roma.10. Lari S., Maravalle, M., Simeone B. (2003). Computing sharp bounds for hard clusteringproblems on trees -In press ORSA; special issue on OR and Data Analysis.11. M. Maravalle (2007) -Introduzione all'analisi dei dati con R - Libreria Universitaria Benedetti -L'Aquila - ISBN 978-88-87182-21-712. A. Attanasio, M. Maravalle and C. Marziliano :Convegno CLADAG- Pavia- 7-9 settembre-2011-Different criteria for the optimal number of clusters- An application to extra-virgin oil data with R.ISBN: 978-88-9066390113. M. Maravalle (2009) THE EVALUATION OF SERVICES IN THE PRESENCE OF MIXED VARIABLES (QUALITATIVE /quantitative). An approach using the methods of data analysis and application to a RegionalHealth Plan.Meeting su metodi e politiche per la valutazione dei servizi (IES2009).Brescia,24-26 giugno -ISBN 978-88-88971-17-914. I. Lari, M. Maravalle, B. Simeone (2009)- Computing sharp bounds for hard clustering problems on treesDiscrete Applied Mathematics, Volume 157, Issue 5, 6 March 2009, Pages 991-1008ISSN 0166-218X15. M.Maravalle,F. Ricca, V. Spinelli & B. Simeone (2011) .Quaderni di Statistica. Carpal tunnelsyndrome automatic classification: electromyography vs. ultrasound imaging. University LaSapienza - Rome - Italy.16. M. Maravalle et alii (2012) Continuous Glucose Monitoring during Breastfeeding in women withrecent gestational diabetes mellitus - Diabetes Technology and Therapeutics. -ID DIA-2011-0266.R317. A. Attanasio, M. Maravalle e G. Fioravanti. (2012) Examining Granger causality between atmosphericparameters and radon -Natural Hazards -DOI 10.1007/s11069-012-0104-x