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Frasso Gianluca

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Main Referenced Co-authors
Lambert, Philippe  (10)
Annen, Jitka  (6)
Eilers, Paul H.C. (6)
Laureys, Steven  (6)
Gosseries, Olivia  (4)
Main Referenced Keywords
P-splines (5); L-curve (4); Bayesian inference (3); Quasilinearization (3); Cluster analysis (2);
Main Referenced Unit & Research Centers
CHU de Liège-Centre du Cerveau² - ULiège [BE] (3)
GIGA-COMA - GIGA Consciousness-Coma Science Group - ULiège [BE] (2)
Main Referenced Disciplines
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others (13)
Mathematics (6)
Neurology (5)
Neurosciences & behavior (4)
Quantitative methods in economics & management (3)

Publications (total 31)

The most downloaded
699 downloads
Frasso, G., & Lambert, P. (2016). Bayesian inference in an extended SEIR model with nonparametric disease transmission rate: An application to the Ebola epidemic in Sierra Leone. Biostatistics, 17 (4), 779-792. doi:10.1093/biostatistics/kxw027 https://hdl.handle.net/2268/241162

The most cited

41 citations (Scopus®)

Iorio, C., Frasso, G., D'Ambrosio, A., & Siciliano, R. (2018). A P-spline based clustering approach for portfolio selection. Expert Systems with Applications, 95, 88-103. doi:10.1016/j.eswa.2017.11.031 https://hdl.handle.net/2268/251495

Annen, J., Frasso, G., van der Lande, G., Bonin, E., Vitello, M., Panda, R., Sala, A., Cavaliere, C., Raimondo, F., Bahri, M. A., Schiff, N. D., Gosseries, O., Thibaut, A., & Laureys, S. (26 July 2023). Cerebral electrometabolic coupling in disordered and normal states of consciousness. Cell Reports, 42 (8), 112854. doi:10.1016/j.celrep.2023.112854
Peer Reviewed verified by ORBi

Frasso, G., & Eilers, P. H. C. (2022). Direct Semi-Parametric Estimation of the State Price Density Implied in Option Prices. Journal of Business and Economic Statistics, 40 (3), 1179 - 1190. doi:10.1080/07350015.2021.1906686
Peer Reviewed verified by ORBi

van der Lande, G., Sanz, L., Frasso, G., Thibaut, A., Gosseries, O., Laureys, S., & Annen, J. (01 June 2021). Circadian and ultradian rhythms depend on the level of consciousness in disorders of consciousness [Paper presentation]. 7th Congress of the European Academy of Neurology.
Peer reviewed

van der Lande, G., Sanz, L., Frasso, G., Thibaut, A., Gosseries, O., LAUREYS, S., & Annen, J. (2021). Circadian and ultradian rhythms depend on the level of consciousness in disorders of consciousness [Poster presentation]. Human Brain Project Summit 2021.
Peer reviewed

Muto, V., Frasso, G., Jaspar, M., Meyer, C., Chellappa, S. L., LY, J., Gaggioni, G., Berthomier, C., Brandewinder, M., Phillips, C., Collette, F., Archer, S., Dijk, D.-J., MAQUET, P., Vandewalle, G., Schmidt, C., & Hammad, G. (23 September 2020). Impact of the PER3 VNTR polymorphism on delta power across different sleep contexts [Paper presentation]. 25th congress of the European Sleep Research Society.

Martens, G., Kroupi, E., Bodien, Y., Frasso, G., Annen, J., Cassol, H., Barra, A., Martial, C., Gosseries, O., Lejeune, N., Soria-Frisch, A., Ruffini, G., Laureys, S., & Thibaut, A. (2020). Behavioral and electrophysiological effects of network-based frontoparietal tDCS in patients with severe brain injury: A randomized controlled trial. NeuroImage: Clinical. doi:10.1016/j.nicl.2020.102426
Peer Reviewed verified by ORBi

Iorio, C., Frasso, G., D’Ambrosio, A., Siciliano, R., Mola, F., Conversano, C., & Vichi, M. (2018). P-splines based clustering as a general framework: Some applications using different clustering algorithms. In F. Mola, C. Conversano, ... M. Vichi (Eds.), Classification, (Big) Data Analysis and Statistical Learning (pp. 183-190). Springer Berlin Heidelberg. doi:10.1007/978-3-319-55708-3_20
Peer reviewed

Iorio, C., Frasso, G., D'Ambrosio, A., & Siciliano, R. (2018). A P-spline based clustering approach for portfolio selection. Expert Systems with Applications, 95, 88-103. doi:10.1016/j.eswa.2017.11.031
Peer Reviewed verified by ORBi

Annen, J., Frasso, G., Heine, L., Di Perri, C., Martial, C., Antonopoulos, G., Aubinet, C., Cassol, H., Demertzi, A., Naccache, L., Galanaud, Rohaut, B., Trinke, Crone, J. S., Kronbichler, Schabus, M., & Laureys, S. (2017). Changes in brain structure after severe brain Injury [Poster presentation]. Human Brain Project.
Peer reviewed

Annen, J.* , Heine, L.* , Ziegler, E., Frasso, G., Bahri, M. A., Di Perri, C., Stender, J., Martial, C., Wannez, S., D'Ostilio, K., Amico, E., Antonopoulos, G., BERNARD, C., TSHIBANDA, L., HUSTINX, R., & Laureys, S. (06 June 2016). Function–structure connectivity in patients with severe brain injury as measured by MRI-DWI and FDG-PET. Human Brain Mapping, 37 (11), 3707-3720. doi:10.1002/hbm.23269
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

Iorio, C., Frasso, G., D’Ambrosio, A., & Siciliano, R. (2016). Parsimonious time series clustering using P-splines. Expert Systems with Applications. doi:10.1016/j.eswa.2016.01.004
Peer Reviewed verified by ORBi

Frasso, G., & Lambert, P. (2016). Bayesian inference in an extended SEIR model with nonparametric disease transmission rate: An application to the Ebola epidemic in Sierra Leone. Biostatistics, 17 (4), 779-792. doi:10.1093/biostatistics/kxw027
Peer Reviewed verified by ORBi

Frasso, G., Jaeger, J., & Lambert, P. (2016). Inference in dynamic systems using B-splines and quasilinearized ODE penalties. Biometrical Journal, 58 (3), 691-714. doi:10.1002/bimj.201500082
Peer Reviewed verified by ORBi

Frasso, G., Jeager, J., & Lambert, P. (2015). Parameter estimation and inference in dynamic systems described by linear partial differential equations. AStA Advances in Statistical Analysis, 1-29. doi:10.1007/s10182-015-0257-5
Peer Reviewed verified by ORBi

Frasso, G., Lambert, P., & Bonou, W. (2015). A Bayesian model for the Ebola epidemic in Sierra Leone. In H. Friedl & H. Wagner (Eds.), 30th International Workshop on Statistical Modelling, Linz, Austria, 2015, Proceedings.
Peer reviewed

Frasso, G., & Lambert, P. (2015). Bayesian inference in an extended SEIR model with nonparametric disease transmission rate: an application to the Ebola epidemic in Sierra Leone. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/182078.

Rosas-Aguirre, A., Erhart, A., Llanos-Cuentas, A., Branch, O., Berkvens, D., Abatih, E., Lambert, P., Frasso, G., Rodriguez, H., Gamboa, D., Sihuincha, M., Rosanas-Urgell, A., D'Alessandro, U., & Speybroeck, N. (2015). Modelling the potential of focal screening and treatment as elimination strategy for Plasmodium falciparum malaria in the Peruvian Amazon Region. Parasites and Vectors, 8 (1), 261. doi:10.1186/s13071-015-0868-4
Peer Reviewed verified by ORBi

Frasso, G., & Eilers, P. H. C. (2015). L- and V-curves for Optimal Smoothing. Statistical Modelling, 15 (1), 91-111. doi:10.1177/1471082X14549288
Peer Reviewed verified by ORBi

Frasso, G., & Paul, E. (2014). L-surface and V-valley for optimal anisotropic 2D smoothing. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/172235.

Frasso, G., Lambert, P., & Eilers, P. H. C. (September 2014). Analysis of MRI stomach scans using differential equations [Poster presentation]. International Chemometrics Research Meeting ICRM 2014.

Frasso, G. (2014). Composite smooth estimation of the state price density implied in option prices. In T. Kneib, F. Sobotka, J. Fahrenholz, ... H. Irmer (Eds.), 29th International Workshop on Statistical Modelling, Göttingen, Germany, 2014, Proceedings.
Peer reviewed

Frasso, G., Jaeger, J., & Lambert, P. (2014). Estimation and approximation in nonlinear dynamic systems using quasilinearization. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/167925.

Frasso, G., D'Ambrosio, A., & Siciliano, R. (December 2013). Model-free probability distance clustering of time series [Paper presentation]. 6th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, United Kingdom.

Frasso, G., Jaeger, J., & Lambert, P. (2013). Estimation and approximation in multidimensional dynamics. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/158563.

Frasso, G., Jaeger, J., & Lambert, P. (October 2013). Penalized smoothing approaches for PDEs [Paper presentation]. 21st meeting of the Belgian Statistical Society.

Frasso, G., & Eilers, P. H. C. (2013). L-surface and V-valley for multi-dimensional smoothing parameter selection. In V. M. R. Muggeo, V. Capursi, G. Boscaino, ... G. Lovison (Eds.), 28th International Workshop on Statistical Modelling, Palermo, Italy, 2013, Proceedings.
Peer reviewed

Frasso, G. (2013). Splines, differential equations and optimal smoothing [Doctoral thesis, Università degli studi di Napoli Federico II]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/191984

Iorio, C., Frasso, G., D'Ambrosio, A., & Siciliano, R. (2013). Fuzzy probabilistic-distance clustering of time and numerical series modeled by penalized spline [Paper presentation]. 7th International Conference of the ERCIM WG on Computational and Methodological Statistics, Pisa, Italy.

Frasso, G., & Eilers, P. H. C. (20 September 2012). Smoothing parameter selection using the L-curve [Poster presentation]. 27th Annual Symposium of the Dutch Chemometrics Society, Nijmegen, Netherlands.

Frasso, G., & Eilers, P. H. C. (2012). Smoothing parameter selection using the L-curve. In A. Komarek & S. Nagy (Eds.), 27th International Workshop on Statistical Modelling, Prague, Czech Republic, 2012, Proceedings.
Peer reviewed

Frasso, G., & Eilers, P. H. C. (2012). An innovative procedure for smoothing parameter selection. In Proceedings of 46th scientific meeting of the Italian Statistical Society.
Peer reviewed

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