Umberto Picchini

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Andrea De GaetanoDirector CNR-IRIB; Distinguished Prof. Óbuda Univ.; Adj. Prof. Mathematics, Mahidol Univ. BangkokVerified email at biomatematica.it
Susanne DitlevsenProfessor of Statistics and Stochastic Models in Biology, University of CopenhagenVerified email at math.ku.dk
Andrea MorelliSapienza University of RomeVerified email at uniroma1.it
Giorgio ContiProfessore Ordinario di Anestesiologia e Rianimazione Università Cattolica del Sacro CuoreVerified email at unicatt.it
Monica RoccoSapienza University of romeVerified email at uniroma1.it
Salvatore Maurizio MaggioreAnesthesiology and Critical Care Medicine, SS. Annunziata Hospital, Università G. d'Annunzio diVerified email at unich.it
Julie FormanLektor i biostatistik, Københavns UniversitetVerified email at sund.ku.dk
Rinaldo BellomoAustin HealthVerified email at austin.org.au
Jes FrellsenAssociate Professor, Technical University of Denmark (DTU)Verified email at dtu.dk
Andrew GolightlyDurham University, UKVerified email at durham.ac.uk
Pasquale PalumboAssociate Professor of Automatic Control, University of Milano-Bicocca, Department of Biotechnology and Biosciences (BtBs)Verified email at unimib.it
Geltrude MingroneCatholic University, Rome, ItalyVerified email at unicatt.it
Simona PanunziCNR IASI Istituto di Analisi dei Sistemi ed Informatica "A Ruberti"Verified email at biomatematica.it
Pierre-Alexandre MatteiResearch scientist, InriaVerified email at inria.fr
Marija CvijovicDepartment of Mathematical Sciences, University of GothenburgVerified email at chalmers.se
Niek WelkenhuysenResearcher at the university of GothenburgVerified email at chalmers.se
Gregor W. SchmidtETH ZurichVerified email at bsse.ethz.ch
Patrick ReithVerified email at chalmers.se
Jukka CoranderUiO, Wellcome Sanger Institute, University of HelsinkiVerified email at medisin.uio.no
Adeline SamsonUniversité Grenoble Alpes, LJK, Grenoble Alpes Data InstituteVerified email at imag.fr

Umberto Picchini

Dept. Mathematical Sciences, University of Gothenburg and Chalmers University of Technology

Verified email at chalmers.se - Homepage

Bayesian inference simulation-based inference stochastic differential equations


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Effects of levosimendan on right ventricular afterload in patients with acute respiratory distress syndrome: A pilot study* A Morelli, JL Teboul, SM Maggiore, A Vieillard-Baron, M Rocco, G Conti, ... Critical care medicine 34 (9), 2287-2293, 2006	307	2006
Prophylactic fenoldopam for renal protection in sepsis: A randomized, double-blind, placebo-controlled pilot trial* A Morelli, Z Ricci, R Bellomo, C Ronco, M Rocco, G Conti, A De Gaetano, ... Critical care medicine 33 (11), 2451-2456, 2005	138	2005
Stochastic Differential Mixed‐Effects Models U Picchini, A De Gaetano, S Ditlevsen Scandinavian Journal of Statistics 37 (1), 67-90, 2010	93	2010
Inference for SDE models via approximate Bayesian computation U Picchini Journal of Computational and Graphical Statistics 23 (4), 1080-1100, 2014	80	2014
Practical estimation of high dimensional stochastic differential mixed-effects models U Picchini, S Ditlevsen Computational Statistics & Data Analysis 55 (3), 1426-1444, 2011	80	2011
Terlipressin versus Norepinephrine To Counteract Anesthesia-induced Hypotension in Patients Treated with Renin-Angiotensin System Inhibitors: Effects of Systemic and Regional … A Morelli, L Tritapepe, M Rocco, G Conti, A Orecchioni, A De Gaetano, ... Anesthesiology 102 (1), 12-19, 2005	78	2005
SDE Toolbox: Simulation and estimation of stochastic differential equations with MATLAB. U Picchini http://sdetoolbox.sourceforge.net/, 2007	60	2007
Modeling the euglycemic hyperinsulinemic clamp by stochastic differential equations U Picchini, S Ditlevsen, A De Gaetano Journal of mathematical biology 53 (5), 771-796, 2006	55	2006
A general approach to the apparent permeability index P Palumbo, U Picchini, B Beck, J van Gelder, N Delbar, A De Gaetano Journal of Pharmacokinetics and Pharmacodynamics 35 (2), 235-248, 2008	51	2008
A mathematical model of the euglycemic hyperinsulinemic clamp U Picchini, A De Gaetano, S Panunzi, S Ditlevsen, G Mingrone Theoretical Biology and Medical Modelling 2 (1), 2005	42	2005
Partially Exchangeable Networks and architectures for learning summary statistics in Approximate Bayesian Computation S Wiqvist, PA Mattei, U Picchini, J Frellsen Proceedings of the 36th International Conference on Machine Learning 97 …, 2019	38	2019
Maximum likelihood estimation of a time-inhomogeneous stochastic differential model of glucose dynamics U Picchini, S Ditlevsen, A De Gaetano Mathematical Medicine and Biology 25 (2), 141-155, 2008	37	2008
Parameters of the diffusion leaky integrate-and-fire neuronal model for a slowly fluctuating signal U Picchini, S Ditlevsen, A De Gaetano, P Lansky Neural Computation 20 (11), 2696-2714, 2008	34	2008
Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study U Picchini, JL Forman Journal of the Royal Statistical Society: Series C 68 (4), 887-913, 2019	26	2019
Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms S Wiqvist, A Golightly, AT McLean, U Picchini Computational Statistics & Data Analysis 157, 107151, 2021	22	2021
Sequential neural posterior and likelihood approximation S Wiqvist, J Frellsen, U Picchini https://arxiv.org/abs/2102.06522, 2021	22	2021
Coupling stochastic EM and Approximate Bayesian Computation for parameter inference in state-space models U Picchini, A Samson Computational Statistics 33 (1), 179-212, 2018	22	2018
Accelerating inference for diffusions observed with measurement error and large sample sizes using Approximate Bayesian Computation U Picchini, JL Forman Journal of Statistical Computation and Simulation 86 (1), 195-213, 2016	17	2016
JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models ST Radev, M Schmitt, V Pratz, U Picchini, U Köthe, PC Bürkner The 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023) 216 …, 2023	16	2023
Scalable and flexible inference framework for stochastic dynamic single-cell models S Persson, N Welkenhuysen, S Shashkova, S Wiqvist, P Reith, ... PLoS Computational Biology 18 (5), 2022	14*	2022

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