Umberto Picchini
Umberto Picchini
Dept. Mathematical Sciences, University of Gothenburg and Chalmers University of Technology
Verified email at - Homepage
Cited by
Cited by
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
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
Stochastic Differential Mixed‐Effects Models
U Picchini, A De Gaetano, S Ditlevsen
Scandinavian Journal of Statistics 37 (1), 67-90, 2010
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
Practical estimation of high dimensional stochastic differential mixed-effects models
U Picchini, S Ditlevsen
Computational Statistics & Data Analysis 55 (3), 1426-1444, 2011
Inference for SDE models via approximate Bayesian computation
U Picchini
Journal of Computational and Graphical Statistics 23 (4), 1080-1100, 2014
SDE Toolbox: Simulation and estimation of stochastic differential equations with MATLAB.
U Picchini, 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
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
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
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
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
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
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
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
Sequential neural posterior and likelihood approximation
S Wiqvist, J Frellsen, U Picchini, 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
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
Approximate maximum likelihood estimation using data-cloning ABC
U Picchini, R Anderson
Computational Statistics & Data Analysis 105, 166-183, 2017
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
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Articles 1–20