BATS: a Bayesian user-friendly software for analyzing time series microarray experiments C Angelini, L Cutillo, D De Canditiis, M Mutarelli, M Pensky BMC bioinformatics 9, 1-13, 2008 | 70 | 2008 |
A Bayesian approach to estimation and testing in time-course microarray experiments C Angelini, D De Canditiis, M Mutarelli, M Pensky Statistical Applications in Genetics and Molecular Biology 6 (1), 2007 | 56 | 2007 |
Wavelet regression estimation in nonparametric mixed effect models C Angelini, D De Canditiis, F Leblanc Journal of Multivariate Analysis 85 (2), 267-291, 2003 | 52 | 2003 |
Effect of apodization on the retrieval of geophysical parameters from Fourier-transform spectrometers U Amato, D De Canditiis, C Serio Applied optics 37 (27), 6537-6543, 1998 | 49 | 1998 |
Wavelet Bayesian block shrinkage via mixtures of normal-inverse gamma priors D De Canditiis, B Vidakovic Journal of Computational and Graphical Statistics 13 (2), 383-398, 2004 | 45 | 2004 |
Computational approaches for isoform detection and estimation: good and bad news C Angelini, DD Canditiis, ID Feis BMC bioinformatics 15, 1-25, 2014 | 39 | 2014 |
Treatment with a Probiotic Mixture Containing Bifidobacterium animalis Subsp. Lactis BB12 and Enterococcus faecium L3 for the Prevention of Allergic Rhinitis … C Anania, VP Di Marino, F Olivero, D De Canditiis, G Brindisi, F Iannilli, ... Nutrients 13 (4), 1315, 2021 | 38 | 2021 |
Bayesian decision theoretic scale-adaptive estimation of a log-spectral density M Pensky, B Vidakovic, D De Canditiis Statistica sinica, 635-666, 2007 | 27 | 2007 |
Simultaneous wavelet deconvolution in periodic setting D De Canditiis, M Pensky Scandinavian Journal of Statistics 33 (2), 293-306, 2006 | 20 | 2006 |
Are the effects of large scale flow conditions really lost through the turbulent cascade? GG Katul, C Angelini, D De Canditiis, U Amato, B Vidakovic, JD Albertson Geophysical research letters 30 (4), 2003 | 20 | 2003 |
Clustering time-course microarray data using functional Bayesian infinite mixture model C Angelini, D De Canditiis, M Pensky Journal of Applied Statistics 39 (1), 129-149, 2012 | 13 | 2012 |
A new quasi-analytical method for evaluating the coefficients of a linearized RTE model U Amato, D De Canditiis, C Serio Proceedings of SPIE, EUROPTO series 3220, 148-155, 1998 | 12 | 1998 |
Bayesian models for two-sample time-course microarray experiments C Angelini, D De Canditiis, M Pensky Computational Statistics & Data Analysis 53 (5), 1547-1565, 2009 | 10 | 2009 |
Pointwise optimality of Bayesian wavelet estimators F Abramovich, C Angelini, D De Canditiis Annals of the Institute of Statistical Mathematics 59 (3), 425-434, 2007 | 10 | 2007 |
Testing for additivity and joint effects in multivariate nonparametric regression using Fourier and wavelet methods D De Canditiis, T Sapatinas Statistics and Computing 14, 235-249, 2004 | 10 | 2004 |
Dicussion on the meeting on ‘Statistical approaches to inverse problems’. G Nason, E Moulines, CP Robert, C Andrieu, A Stoffelen, D Paul, ... Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2004 | 9 | 2004 |
Effects of COVID-19 lockdown on weight in a cohort of allergic children and adolescents G Brindisi, VP Di Marino, F Olivero, D De Canditiis, G De Castro, ... Italian Journal of Pediatrics 48 (1), 88, 2022 | 8 | 2022 |
Time-scale energy based analysis of contours of real-world shapes V Bruni, D De Canditiis, D Vitulano Mathematics and Computers in Simulation 82 (12), 2891-2907, 2012 | 7 | 2012 |
Normal approximation of random gaussian neural networks N Apollonio, D De Canditiis, G Franzina, P Stolfi, GL Torrisi arXiv preprint arXiv:2307.04486, 2023 | 6 | 2023 |
A global approach for learning sparse Ising models D De Canditiis Mathematics and Computers in Simulation 176, 160-170, 2020 | 6 | 2020 |