Chen R.; Giannerini S.; Goracci G.; Trapani L., Inference in matrix-valued time series with common stochastic trends and multi factor error structure, Working Paper 2025. https://doi.org/10.48550/arXiv.2501.01925.
Visentin, M.; Tuan A.; Diaz Rubio G.A.; Giannerini S., Between flow and satiation: the temporal impact of emotions in online video gamers’ reviews on daily active players, submitted, 2024.
Goracci, G., D. Ferrari, S. Giannerini, and F. Ravazzolo. 2023. “Robust Estimation for Threshold Autoregressive Moving-Average Models.” Free University of Bolzano, University of Bologna. https://doi.org/10.48550/ARXIV.2211.08205. Accepted in Journal of Business and Economic Statistics.
Diaz-Rubio G.A.; Giannerini S.; Goracci G., A multivariate extension of the Misspecification-Resistant Information Criterion, https://arxiv.org/abs/2202.09225, submitted.
Angelini F.; Castellani M.; Giannerini S.; Goracci G., Testing for threshold effects in presence of volatility and measurement error: the case of Italian strikes, University of Bologna and Free University of Bolzano, https://doi.org/10.48550/arXiv.2308.00444. Accepted in Oxford Bulletin of Economics and Statistics.
Goracci, G.; Giannerini, S.; Chan, K.-S.; Tong, H., Testing for threshold regulation in presence of measurement error with an application to the PPP hypothesis, https://arxiv.org/abs/2002.09968, accepted in Statistica Sinica, 2024.
Giannerini S.; Goracci G. ; Rahbek A., The validity of Bootstrap testing in the threshold framework, https://arxiv.org/abs/2201.00028, accepted in Journal of Econometrics, 2023.
Chan, K.-S.; Giannerini, S.; Goracci, G.; Tong, H., Unit-root test within a Threshold ARMA framework, https://arxiv.org/abs/2002.09968, accepted in Statistica Sinica, 2023.
Cagnone, S.; Giannerini, S.; Modugno, L.; Multilevel Models with Stochastic Volatility for Repeated Cross-Sections: an Application to tribal Art Prices, https://arxiv.org/abs/1603.01985, accepted in The Annals of Applied Statistics, 2017.
Modugno, L.; Giannerini, S.; The wild bootstrap for multilevel models, https://arxiv.org/abs/1508.05713, accepted in Communications in Statistics - Theory and Methods , 2015.
Modugno, L.; Cagnone, S.; Giannerini, S.;The Analysis of Tribal Art Prices: a Multilevel Model with Autoregressive Components, https://arxiv.org/abs/1304.4876, accepted in Journal of Applied Statistics, 2013.
Gonzalez, D.; Giannerini, S.; Rosa, R.; On the origin of the mitochondrial genetic code: Towards a unified mathematical framework for the management of genetic information, https://doi.org/10.1038/npre.2012.7136.1 , Nature Precedings, 2012.
Angelini F.; Castellani M.; Giannerini S.; Goracci G., Testing for threshold effects in presence of volatility and measurement error with an application to Italian strikes. Oxford Bulletin of Economics and Statistics, in press.
Goracci, G., D. Ferrari, S. Giannerini, and F. Ravazzolo., Robust Estimation for Threshold Autoregressive Moving-Average Models, Journal of Business and Economic Statistics, in press.
Rojo-Garibaldi, B., Salas-de-Leon, A., Monreal-Gomez, M.A., Giannerini, S., Cartwright, J.H.E., Nonlinear Time Series Analysis of Coastal Temperatures and El Niño–Southern Oscillation Events in the Eastern South Pacific, Earth System Dynamics, 2024, 14, 1125–1164.
Chan, K.-S.; Giannerini, S.; Goracci, G.; Tong, H., Testing for Threshold Regulation in Presence of Measurement Error, Statistica Sinica, 2024, 34(3).
Giannerini S.; Goracci G. ; Rahbek A., The validity of Bootstrap testing in the threshold framework, Journal of Econometrics, 2024, Volume 239, Issue 1, 105379.
Goracci, G.; Giannerini, S.; Chan, K.-S.; Tong, H., Testing for threshold effects in the TARMA framework, Statistica Sinica, 2023, 33(3).
Giannerini, S.; Goracci, G., Entropy-Based Tests for Complex Dependence in Economic and Financial Time Series with the R Package tseriesEntropy. Mathematics, 2023, 11, 757.
Rojo-Garibaldi, B.; Salas-de-León, A.; Monreal-Gómez, M.A.; Giannerini, S.; Cartwright, J.H.E., Chaos and periodicities in a climatic time series of the Iberian Margin, Chaos, 2020, 30 (6), 063126.
Giannerini, S.; Montanari, A., Introduction to the Theme Issue: The Skew-Normal and Related Distributions, Statistica, 2020, 80(2), 127-130.
Di Lascio, F.M.L.; Giannerini, S., Clustering dependent observations with copula functions, Statistical Papers, 2019, Volume 60, pp. 35-51.
Cagnone, S.; Giannerini, S; Modugno, L., Multilevel Models with Stochastic Volatility for Repeated Cross-Sections: An Application to Tribal Art Prices, Annals of Applied Statistics, 2017, Volume 11, Number 2, 1040-1062.
Giannerini, S.; Maasoumi, E.; Bee Dagum E., Entropy testing for nonlinear serial dependence in time series, Biometrika, 2015, 102, pp. 661-675.
Modugno, L.; Cagnone, S.; Giannerini, S., A multilevel model with autoregressive components for the analysis of tribal art prices, Journal of Applied Statistics, 2015, 42, pp. 2141-2158.
Di Lascio, F.M.L; Giannerini, S.; Reale, A., Exploring copulas for the imputation of complex dependent data, Statistical Methods & Applications, 2015, 24, pp. 159-175.
Modugno, L.; Giannerini, S., The wild bootstrap for multilevel models, Communications in Statistics. Theory and Methods, 2015, 44, pp. 4812-4825.
Di Lascio, F.M.L; Giannerini, S., A Copula-Based Algorithm for Discovering Patterns of Dependent Observations, Journal of Classification, 2012, 29(1), pp. 50-75.
Modugno, L.; Giannerini, S.; Cagnone S., A Multilevel Model with Time Series Components for the Analysis of Tribal Art Prices, Quaderni Di Statistica, 2012, 14, pp. 169-172.
Di Lascio, F.M.L; Giannerini, S., Clustering Microarray Data: Theoretical and Practical Issues, Communications in Statistics. Theory and Methods, 2012, Vol. 41, Issues 16-17, pp. 3211-3232.
Giannerini, S., The quest for nonlinearity in time series, in: Handbook of Statistics Volume 30: Time Series Analysis: Methods and Applications, Oxford, Elsevier -- North Hollhand, 2012, pp. 43-63.
Di Lascio, F.M.L; Giannerini, S.; Scorcu, A.E.; Candela, G., Cultural tourism and temporary art exhibitions in Italy: a panel data analysis, Statistical Methods & Applications, 2011, 20, pp. 519-542.
Baldi Antognini, A.; Giannerini, S., Generalized Pòlya Urn designs with null balance, Journal of Applied Probability, 2007, 44 (3), pp. 661-669.
Giannerini, S.; Gonzalez, D.L.; Rosa, R., Testing Chaotic dynamics in systems with two positive Lyapunov exponents: a bootstrap solution, International Journal of Bifurcation and Chaos, 2007, 17, 1, pp. 169-182.
Bee Dagum E.; Giannerini, S., A critical investigation on detrending procedures for non-linear processes, Journal of Macroeconomics, 2006, 28 (1), pp. 175-191.
Desalvo, A.; Giannerini, S.; Rosa, R., Chaotic phenomena of charged particles in crystal lattices, Chaos, 2006, 16(2) 023114, pp. 1-12.
Bonetto, C.; Giannerini, S.; Giovagnoli, A., The analysis of contingency tables with ordinal data: an application to monitoring antibiotic resistance, Statistics in Medicine, 2006, 25, pp. 3560-3575.
Giannerini, S.; Rosa, R., Assessing chaos in time series: statistical aspects and perspectives, Studies in Nonlinear Dynamics and Econometrics, 2004, 8, Article 11.
Giannerini, S.; Rosa, R., Caos, Statistica e metodi di ricampionamento, Statistica, 2002, anno LXII, n. 3, pp. 359-378.}
Giannerini, S.; Rosa, R., New resampling method to assess the accuracy of the maximal Lyapunov exponent estimation, Physica D, 2001, 155, pp. 101-111.}
Giannerini, S.; Rosa, R., Generating replications of chaotic time series, Nonlinear Dynamics, Psychology and Life Sciences, 5, pp. 77-87.
Mignani, S.; Giannerini, S.; Gonzalez, D.L., Test di non linearita' per la ricerca di un'eventuale dinamica caotica nel sistema cardiovascolare, Statistica, 2000, anno LXIV, n. 4, pp. 515-522.
Information, Coding, and Biological Function: The Dynamics of Life, Cartwright, J.H.E.; Čejková, J.; Fimmel, E.; Giannerini, S.; Gonzalez, D.L.; Goracci, G.; Grácio, G.; Houwing-Duistermaat, J.; Matić, D.; Mišić, N.; Mulder, F.A.A.; Piro, O. Artificial Life, 2024, 00432, 1-12.
Cardoso, S.S.S.; Cartwright, J.H.E.; Čejková, J.; Cronin, L.; De Wit, A.; Giannerini, S.; Horváth, D.; Rodrigues, A.; Russell, M.; Sainz-Díaz, I.; Tóth, A. Chemobrionics: From Self-Assembled Material Architectures to the Origin of Life, Artificial Life, 2020 26:3, 315-326.
Gonzalez, D.L.; Giannerini, S.; Rosa, R., Rumer's transformation: a symmetry puzzle standing for half a century, Biosystems, 2020, Volume 187, 104036.
Gonzalez, D.L.; Giannerini, S.; Rosa, R., On the origin of degeneracy in the genetic code , Royal Society Interface Focus, 2019, Volume 9, number 6, 20190038.
Cartwright, J.H.E.; Giannerini, S.; Gonzalez, D.L., DNA as information: At the crossroads between biology, mathematics, physics and chemistry, Philosophical Transactions of the Royal Society of London Series A: Mathematical Physical and Engineering Sciences, 2016, 374, pp. 1-9.
Gonzalez, D.L.; Giannerini, S.; Rosa, R., The non-power model of the genetic code: A paradigm for interpreting genomic information, Philosophical Transactions of the Royal Society of London Series A: Mathematical Physical and Engineering Sciences, 2016, 374, pp. 1-16.
Properzi, E.; Giannerini, S.; Gonzalez, D.L.; Rosa, R., Genome characterization through dichotomic classes: an analysis of the whole chromosome 1 of A. Thaliana, Mathematical Biosciences And Engineering, 2013, 10 Issue 1, pp. 199-219.
Giannerini, S.; Gonzalez, D.L.; Rosa, R., DNA, dichotomic classes and frame synchronization: a quasi-crystal framework, Philosophical Transactions of the Royal Society of London Series A: Mathematical Physical and Engineering Sciences, 2012, 370, Number 1969, pp. 2987-3006.
Gonzalez, D.L.; Giannerini, S.; Rosa, R., The mathematical structure of the genetic code: a tool for inquiring on the origin of life, Statistica, 2009, LXIX, pp. 143-157.
Gonzalez, D.L.; Giannerini, S.; Rosa, R., Strong short-range correlations and dichotomic codon classes in coding DNA sequences Physical Review E, Statistical, Nonlinear, and Soft Matter Physics, 2008, 78, pp. 1-8.
Gonzalez, D.L.; Giannerini, S.; Rosa, R., Detecting Structure in Parity Binary Sequences, IEEE Engineering in Medicine and Biology Magazine, 2006, 25, n°1, pp. 69-81.
Giannerini, S.; Danielli A.; Gonzalez, D.L.; Goracci, G.; A role for circular codes properties in translation, Scientific Reports, 2021 11, 9218.
Fimmel, E.; Giannerini, S.; Gonzalez, D.L.; Strungmann, L., Circular codes, symmetries and transformations, Journal of Mathematical Biology, 2015, 70, pp. 1623-1644.
Fimmel, E.; Giannerini, S.; Gonzalez, D.L.; Strungmann, L., Dinucleotide circular codes and bijective transformations, Journal of Theoretical Biology, 2015, 386, pp. 159-165.
Gonzalez, D.L.; Giannerini, S.; Rosa, R., Circular codes revisited: A statistical approach, Journal of Theoretical Biology, 2011, 275, pp. 21-28.
Cocchi, D.; Cavaliere, G.; Freo, M.; Giannerini, S.; Mazzocchi, M.; Trivisano, C.; Viroli, C., A support for classifying scientific papers in a University Department, Procedia Economics And Finance, 2014, 17, pp. 47-54.
Candela, G.; Di Lascio, F.M.L; Giannerini, S.; Scorcu, A.E., L’impatto dell’offerta culturale contemporanea sui flussi turistici. Un’analisi empirica per le province italiane, in: Percorsi creat'ivi di turismo urbano. Beni culturali e riqualificazione nella città contemporanea, Bologna, Patron, 2013, pp. 58-71.
Gonzalez, D.L.; Giannerini, S.; Valentinuzzi, M.E., Theoretical Models , in: M. E. Valentinuzzi, Cardiac Fibrillation-Defibrillation. Clinical and engineering aspects., Singapore, World Scientific Publishing, 2010, pp. 189-228.
Candela, G.; Giannerini, S.; Scorcu, A.E., Dieci anni di aste di opere d'arte etnica: Africa, Oceania e le Americhe, Sistema Economico, 2009, 1/2009, pp. 21-35.
Modugno, L.; Giannerini, S., La prima banca dati dedicata all'arte etnica: prime evidenze empiriche., Sistema Economico, 2008, 2, pp. 45-57.
Candela, G.; Giannerini, S.; Scorcu, A.E., Flussi e caratteristiche delle destinazioni e dei turismi. Una nota introduttiva, Economia dei Servizi, 2007, 1, Anno II, pp. 47-57.
Candela, G.; Giannerini, S.; Scorcu, A.E., Rimini. Le caratteristiche strutturali di una destinazione balneare matura, Economia dei Servizi, 2007, 1, Anno II, pp. 123-146.
Bonifacino, A.; Petrocelli, V.; Pisani, T.; Giannerini S.; Giovagnoli, A.; Vecchione, A.; Mingazzini, P.L; Giovagnoli, M.R., Accuracy Rates of US-guided Vacuum-assisted Breast Biopsy, Anticancer Research , 2005, 25(4), pp. 2465-2470.