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Umberto Picchini
Umberto Picchini
Dept. Mathematical Sciences, University of Gothenburg and Chalmers University of Technology
Verified email at chalmers.se - Homepage
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Cited by
Cited by
Year
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
3082006
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
1382005
Stochastic Differential Mixed‐Effects Models
U Picchini, A De Gaetano, S Ditlevsen
Scandinavian Journal of Statistics 37 (1), 67-90, 2010
932010
Inference for SDE models via approximate Bayesian computation
U Picchini
Journal of Computational and Graphical Statistics 23 (4), 1080-1100, 2014
802014
Practical estimation of high dimensional stochastic differential mixed-effects models
U Picchini, S Ditlevsen
Computational Statistics & Data Analysis 55 (3), 1426-1444, 2011
802011
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
782005
SDE Toolbox: Simulation and estimation of stochastic differential equations with MATLAB.
U Picchini
http://sdetoolbox.sourceforge.net/, 2007
602007
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
552006
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
522008
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
422005
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
392019
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
372008
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
342008
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
262019
Sequential neural posterior and likelihood approximation
S Wiqvist, J Frellsen, U Picchini
https://arxiv.org/abs/2102.06522, 2021
232021
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
222021
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
222018
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
202023
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
172016
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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