(2024) Chalachew M. L., Meo R.,  Ferraris S., Di Nardo E. Analysis of Diurnal Air Temperature Trends and Pattern Similarities in Highland and Lowland Stations of Italy and UK Jour. Clim. (on line 12 October 2024) http://dx.doi.org/10.1002/joc.8643

(2024) Chalachew M. L., Di Nardo E., Meo R.,  Ferraris S. Identifying Time Patterns of Highland and Lowland Air Temperature Trends in Italy and UK across monthly and annual scales in press Adv. Stat. Climatol. Meteorol. Oceanogr. 10(2),  pp. 173-194 https://doi.org/10.5194/ascmo-10-173-2024 

(2024) Di Nardo E., D'Onofrio G., Martini T.  Orthogonal gamma-based expansion for the CIR's first passage time distribution. Appl. Math. Comp. 480, 128911  https://doi.org/10.1016/j.amc.2024.128911  (PdF ArXiv)

(2024) Agnese C., Baiamonte G., Di Nardo E., Ferraris S., Martini T. Applying different methods to model dry and wet spells at daily scale in a large range of rainfall regimes across Europe . Adv. Stat. Climatol. Meteorol. Oceanogr.,10, 51–67, doi.org/10.5194/ascmo-10-51-2024    (PdF ArXiv)

(2023) Di Nardo E., Guarino G. On the generation of necklaces and bracelets in R. Communications in Statistics - Sim. Comp. 52 (11), 5727-5737. DOI: 10.1080/03610918.2023.219918 (PdF ArXiv)

(2023) Di Nardo E., D'Onofrio G., Martini T.  Approximating the first passage time density from data using generalized Laguerre polynomials. Commun. Nonlinear Sci. Numer. Simul. 118, 106991 (PdF ArXiv)

(2022) Agnese C., Baiamonte G., Di Nardo E., Ferraris S., Martini T. Modelling the Frequency of Interarrival Times and Rainfall Depths with the Poisson Hurwitz-Lerch Zeta Distribution. Fractal Fract., 6(9), 509  (Open Acess)

(2022) Di Nardo E., Guarino G.  kStatistics: Unbiased Estimates of Joint Cumulant Products from the Multivariate Faà Di Bruno’s Formula. The R Journal. 14(2) 208-228. 

(2021) Di Nardo E., D'Onofrio G. On the Cumulants of the First Passage Time of the Inhomogeneous Geometric Brownian Motion. Mathematics, 9(9), 956  (Open Acess)

(2021) Cahoy D., Di Nardo E., Polito F. Flexible models for overdispersed and underdispersed count data. Stat. Papers 62:2969–2990 (PdF ArXiv)

(2021) Di Nardo E., Polito F., Scalas E. A fractional generalization of the Dirichlet distribution and related distributions. Fract. Calc. Appl. Anal. 24(1) (PdF ArXiv)

(2021) Di Nardo E., D'Onofrio G. A cumulant approach for the first-passage-time problem of the Feller square-root process. Appl. Math. Comp. 391, 125707 (PdF ArXiv)

(2020) Di Nardo E., Marena M., Semeraro P. On non-linear dependence of multivariate subordinated Levy processes Stat. Prob. Letters 166, 108870 (PdF ArXiv)

(2020) Di Nardo E.  Polynomial traces and elementary symmetric functions in the latent roots of a non-central Wishart matrix. Jour. Mult. Analysis 179, 104629 (PdF ArXiv)

(2019) Di Nardo E., Simone R. A Model-Based Fuzzy Analysis of Questionnaires Statistical methods and Applications. 28:187--215 (PdF ArXiv)

(2019) Ricossa D., Baccaglini E., Di Nardo E., Parodi E., Scopigno R. On the automatic audio analysis and classification of cry for infant pain assessment International Journal of Speech Technology 22(1), 259--269 (PdF ArXiv)

(2016) Di Nardo E. On multivariable cumulant polynomial sequence with applications Jour. Algebraic Statistics 7(no.1), pp. 72--89 (PdF ArXiv)

(2016) Di Nardo E. On photon statistics parametrized by a non-central Wishart random matrix. Jour.Stat.Planning and Inference. 169, pp. 1--12 (PdF ArXiv)

(2015) Di Nardo E. Symbolic calculus in mathematical statistics: a review. Seminaire Lotharingien de Combinatoire Vol. 67 (B67a), pp. 72 (Pdf, free) .

(2014) Di Nardo E. On a symbolic representation of non-central Wishart random matrices with applications. Jour. Mult. Anal. Vol.125, 121--135. (Pdf on ArXiv)

(2013) Di Nardo E., Oliva I. A new family of time-space harmonic polynomials with respect to Levy processes. Ann. Mat. Pura Appl. Vol.192(5), 917--929. (Pdf ArXiv)

(2013) Di Nardo E. On a representation of time space-harmonic polynomials via symbolic Levy processes. Scientiae Math. Japonica. 76(1), 99--118. (Pdf ArXiv)

(2013) Di Nardo E., Oliva I. On some applications of a symbolic representation of non-centered Levy processes. Comm. Statist. Theory Methods. 42, 1--15. (Pdf ArXiv)

(2013) Di Nardo E., McCullagh P., Senato D. Natural statistics for spectral samples. Annals of Statistics. 41(2), 982-1004. (Pdf ArXiv)

(2012) Di Nardo E., Oliva I. Multivariate time-space harmonic polynomials: a symbolic approach Math. Methods Econ. Finance. 7(1), 41-56. (Pdf ArXiv)

(2012) Di Nardo E., Oliva I. Multivariate Bernoulli and Euler polynomials via Levy processes. Appl. Math. Letters. 25(9), 1179--1184. (Pdf ArXiv)

(2012) Di Nardo E., Senato D. Symbolic solutions of some linear recurrences. Jour. Statist. Plann. Inference 142(2), 423--429. (Pdf ArXiv)

(2011) Di Nardo E., Guarino G., Senato D. A new algorithm for computing the multivariate Faa di Bruno's formula. Appl. Math. Comp. 217, 6286--6295. (Pdf ArXiv)

(2011) Di Nardo E., Niederhausen H., Senato D. A symbolic handling of Sheffer sequences. Ann. Mat. Pura Appl. 190, 489--506 (Pdf)

(2010) Di Nardo E. A new approach to Sheppard's corrections. Mathematical Methods in Statistics 12, 151--162. (Pdf ArXiv)

(2010) Di Nardo E., Petrullo P., Senato D. Cumulants and convolutions via Abel polynomials. Europ. Jour. Combinatorics. 31, 1792--1804. (Pdf ArXiv)

(2009) Di Nardo E., Oliva I. On the computation of classical, boolean and free cumulants. Appl. Math. Comp. 208, 347--354. (Pdf ArXiv)

(2009) Di Nardo E., Guarino G., Senato D. A new method for fast computing unbiased estimators of cumulants. Statistics and Computing 19, 155--165. (Pdf ArXiv)

(2008) Di Nardo E., Guarino G., Senato D. Symbolic computation of moments of sampling distributions. Comp. Stat. Data Analysis 52, 4909--4922. (Pdf ArXiv)

(2008) Di Nardo E., Guarino G., Senato D. A unifying framework for k-statistics, polykays and their multivariate generalizations. Bernoulli 14, 440--468. (Pdf ArXiv)

(2008) Di Nardo E., Guarino G., Senato D. A Maple algorithm for polykays and their generalizations. Adv. Appl. Stat. 8, 19--36.

(2008) Di Nardo E. On the first passage time problem for linear processes. Scientiae Math. Japonica. 21, 61--76. (Pdf)

(2007) Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M. Gaussian processes and neuronal modeling. Natural Computing 6, 283--310. (Pdf)

(2006) Di Crescenzo E., Di Nardo E., Ricciardi L.M. On certain bounds for first-passage-time probabilities of a jump-diffusion process. Scientiae Math. Japonica 64, 449--460. (Pdf ArXiv)

(2006) Di Nardo E., Senato D. An umbral setting for cumulants and factorial moments. Europ. Jour. Combinatorics 27, 394--413. (Pdf ArXiv)

(2006) Di Nardo E., Senato D. A symbolic method for k-statistics. Applied Mathematics Letters 19, 968--975. (Pdf ArXiv)

(2005) Di Nardo E. On the connection between orthant probabilities and first passage time problem. Jour. Stat. Comp. Simul. 75, 437--445. (Pdf ArXiv)

(2005) Di Crescenzo A., Di Nardo E., Ricciardi L.M. Simulation of first-passage times for alternating Brownian motion. Meth. Comp. In Applied Probab. 7, 161--181. (Pdf on ArXiv)

(2003) Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M. On the asymptotic behavior of first passage time densities for stationary gaussian processes and varying boundaries. Meth. Comp. in Applied Prob. 5, 211--233. (Pdf on ArXiv)

(2003) Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M. Towards the Modeling of Neuronal Firing by Gaussian processes. Scientiae Math. Japonica 8, 497--506. (Pdf ArXiv)

(2002) Di Nardo E. On first-passage problem for a non-singular Gaussian discrete-time series. Quaderni di Statistica. 4, 51--70. (Pdf)

(2002) Buonocore A., Di Crescenzo A., Di Nardo E. Input/output behaviour of a model neuron with alternating drift. BioSystems 67, 27--34 (Pdf ArXiv)

(2001) Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M. A computational approach to first-passage-time problem for Gauss-Markov processes. Adv. Applied Probability 33, 453--482.

(2000) Di Crescenzo A., Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M. On some computational methods for single neurons'activity modeling. BioSystems 58, 19--26. (Pdf ArXiv)

(1998) Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M. On a non-Markov neuronal model and its approximation. BioSystems 48, 29--35.

(1996) Morandi Cecchi M.. Di Nardo E. The modified bordering method to evaluate eigenvalues and eigenvectors of normal matrices. Numerical Algorithms 11, 285--309.

(1996) Di Nardo E., Pirozzi E., Rinaldi S. On FPT densities of normal processes with an oscillatory covariance. Rend. Acc. Scienze Fisiche e Matematiche LXIII, serie IV, 179--192.

(1995) Di Nardo E., Pirozzi E. Algorithm for data sample representation by histograms with unequal cell widths. Cybernetics and System 26, 343--348.

(2025) Liyew C.M., Di Nardo E., Ferraris S.,  Meo R.  Hyperparameter optimization of machine learning models for predicting actual evapotranspiration. Machine Learning with applications. vol. 20, 100661 10.1016/j.mlwa.2025.100661 

(2025) Liyew C.M., Ferraris S.Di Nardo E., Meo R. A review of feature selection methods for actual evapotranspiration prediction. Artificial Intelligence Review. vol. 58, no. 292, 10.1007/s10462-025-11298-4

(2018) Prieto J. D., Trotta V. , Di Nardo E., Forlano P., Fanti P., Battaglia B. Intraguild predation between Macrolophus pygmaeus and Aphidus ervi: effect of parasitized aphid density and parasitoid stage. Bulletin of Insectology vol. 71(1), 113--120.

(2018) Olivieri J., Attolico I., Nuccorini R., Pascale S.P., Chiarucci M., Poiani M., Corradini P., Farina L., Gaidano G., Nassi L., Sica S., Piccirillo N., Pioltelli E., Martino M., Moscato T., Pini M., Zallio F., Ciceri F., Marktel S., Mengarelli A., Musto P., Capria S., Merli F., Codeluppi K., Mele G., Lanza F., Specchia G., Pastore D., Milone G., Saraceni F., Di Nardo E., Perseghin P., Olivieri A. Predicting failure of hematopoietic stem cell mobilization before it starts: the Predicted Poor Mobilizer (pPM) score Bone Marrow Transplantation. 53(4), 461--473.

(2016) Ostuni A., Cuviello F., Salvia A.M., D'Auria F., Statuto T., Di Nardo E., Miglionico R., Carretta V., Musto P., Bisaccia F. Immunochemical Characterization of the Specific Sequence of URG7 Protein Journal of Biomolecular Research and Therapeutics vol. 5(3), 5pp.

(2015) Attolico. I., Olivieri J., Nuccorini R., Pascale SP, Chiarucci M., Poiani M., Gozzer M. Capria S., Mele G., Melpignano A., Perseghin P., Pioltelli P., Martino M., Moscato T., Musto P., Pietrantuono G., Corradini P., Farina L., Nassi L., Casaluci GM, Di Marco A., Spadaro A., Gumenyuku S., Marchesi F., Lanza F., Brambilla P., Pini M., Zallio F., Marktel S., Gattillo S., Sica S., Ausoni G., Merli F., Codeluppi K., Specchia G., Pastore D., Pizzuti M., Di Nardo E., Olivieri A. A refined composite clinical score for the early identification of the predicted Poor Mobilizers (PM): a GITMO analysis. Bone Marrow Transplantation. , 50, S312--S499 (329).

(2015) Coluzzi S., Introcaso T., Iallorenzi P., Di Nardo E., Pascale SP., Nuccorini R., Attolico I., Matturro A., Amendola A., Cimminiello M., Vertone D., Filardi N., Pizzuti M. Cumulative analysis of post induction WT1 values and WT1 onset/post induction ratio as an udeful tool for a risk stratification of acute myeloid leukemia patients. Haematologica 100, 139.

(2014) Attolico I., Di Nardo E., Nuccorini R., Chiarucci M., Nassi L., Mengarelli A., Capria S., Ciceri F., Martino M., Piccirillo N., Pascale S., Pizzuti M., Olivieri A. Validation in a multicenter setting of Gitmo Criteria for identification of the poor mobilizer in multiple myeloma and lymphoma patients: preliminary analysis on 312 patients. Biology of Bone and Marrow Transplantation. 49, 48.

(2011) Attolico I., Pavone V., Ostuni A., Rossini B., Musso M., Crescimanno A., Martino M., Iacopino P., Milone G., Tedeschi P., Di Nardo E., Coluzzi S., Nuccorini R. , Pascale A., Olivieri A. Chemo-mobilization followed by G-CSF, and additioned by Plerixafor, is safe and allows adequate PBSC collection in Multiple Myeloma and Lymphoma patients predicted poor mobilizers Biology of Bone Marrow Transplantation. 18, 241-249. (Pdf)

(2024) Di Nardo E.,Gil-Alana L.A.  Stochastic Processes and Its Applications. Special issue (Mathematics)

(2015) Di Nardo E. On some applications of generalized Laguerre polynomials in stochastics and statistics Lectures Notes SIM (Pdf) Vol. 12, pp. 97--109.

(2009) Di Nardo E., Senato D. The eleventh and twelveth problems of Rota's Fubini Lectures: from cumulants to free probability theory. From Combinatorics to Philosophy: the Legacy of G. -C. Rota. (eds. Damiani, E., D'Antona, O., Marra, V., Palombi, F.) Springer-Verlag, 91--130. (Pdf)

(2009) Di Nardo E., Niederhausen H., Senato D.The Classical Umbral Calculus: Sheffer Sequences. Lectures Notes SIM 8, 101--130 (Pdf ArXiv)

(2005) Di Crescenzo A., Di Nardo E., Ricciardi L.M. Evaluation of Neuronal Firing Densities via Simulation of a Jump-Diffusion Process. Lecture Notes in Computer Science. 3561, 166--173. (Pdf)

(2005) Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M.  Gaussian processes and neuronal modeling. Lecture Notes in Computer Science. 3561, 178--184. (Pdf ArXiv)

(2004) Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M.  Computational Methods for the evaluation of neuronal's firing densities. Lecture Notes in Computer Science. 2809, 394--403. (Pdf)

(2003) Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M. Simulations of Gaussian Processes for Neuronal Modeling. Science and Supercomputing at CINECA 375--381.

(2002) Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M. Gaussian processes and neuronal models: an aymptotic analysis. Cybernetics and Systems 2002 (Trappl R. ed.), 313--318.

(2001) Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M. Parallel simulations in FPT problems for Gaussian processes. Science and Supercomputing at CINECA 405--412.

(2001) Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M. Computer-aided simulations of Gaussian processes and related asymptotic properties. Lecture Notes in Computer Science 2178, 67--78. (Pdf)

(2001) Di Nardo E., Senato D. Umbral nature of the Poisson random variables. Algebraic Combinatorics and Computer science: a tribute to Gian-Carlo Rota. (eds. H. Crapo, D. Senato) Springer-Verlag, 245--266. (Pdf)

(2000) Di Nardo E., Nobile A.G., Pirozzi E., Ricciardi L.M., Rinaldi S. Simulation of Gaussian processes and first passage time densities evaluation. Lecture Notes in Computer Science 1798, 319--333.

(2000) Di Nardo E., Pirozzi E., Ricciardi L.M., Rinaldi S. First passage time densities evaluation for simulated Gaussian process. Cybernetics and Systems 2000 (Trappl R. ed.), 301--306.

(1997) Di Nardo E., Pirozzi E., Ricciardi L.M, Rinaldi S. Vectorized simulations of normal processes for first crossing-time problems. Lecture notes in computer science 1333, 177--188. (Pdf Arxiv)

(1996) Di Nardo E., Pirozzi E. On the grouping rule for random samples. Series on Advances in Mathematics for Applied Sciences 40, 248--253.

(1996) Di Nardo E., Pirozzi E. On the estimation of first passage time densities for stationary normal processes. Frontiers in Artificial Intelligence and Applications 41, 383--387.

(2024) Di Nardo E., Mai H. kStatistics and Faà di bruno formula in Phyton. (Pypi repository) (Readmefile)

(2024) Di Nardo E., Guarino G. Joint cumulants of polykays. (Worksheet Maple Software)

(2022) Di Nardo E., Guarino G. Necklaces . (CRAN packages)

(2022) Di Nardo E., Guarino G. Necklaces and bracelets in R. (ArXiv)

(2019-22) Di Nardo E., Guarino G. Unbiased Estimators for Cumulant products. (CRAN packages)

(2014) Di Nardo E., Guarino G. Spectral k-statistics. (Worksheet Maple Software)

(2013) Di Nardo E., Guarino G. A new algorithm for computing moments of complex non-central Wishart distributions. (Worksheet Maple Software)

(2011) Di Nardo E., Guarino G., Senato D. A new algorithm for computing the multivariate Faà di Bruno’s formula. (Worksheet Maple Software)

(2010) Di Nardo E., Guarino G. A new approach to Sheppard’s corrections. (Worksheet Maple Software)

(2009) Di Nardo E., Guarino G., Senato D. Fast algorithms for k-statistics, polykays and their multivariate generalizations. (Worksheet Maple Software)

(2009) Di Nardo E., Guarino G., Senato D. A Maple algorithm for k-statistics, polykays and their multivariate generalizations. (Worksheet Maple Software)

(2009) Di Nardo E., Guarino G., Senato D. Multiset subdivisions. (Worksheet Maple Software)