Umberto Picchini

发表

Inference for SDE Models via Approximate Bayesian Computation

Umberto Picchini, 2012, 1204.5459.

Stochastic Differential Mixed‐Effects Models

Umberto Picchini, A. Gaetano, S. Ditlevsen, 2010 .

Modeling the euglycemic hyperinsulinemic clamp by stochastic differential equations

Umberto Picchini, A. Gaetano, S. Ditlevsen, 2006, Journal of mathematical biology.

Accelerating delayed-acceptance Markov chain Monte Carlo algorithms

Umberto Picchini, J. Forman, Samuel Wiqvist, 2018, 1806.05982.

Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography study

Umberto Picchini, Umberto Picchini, J. Forman, 2016, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Stochastic Differential Mixed‐Effects Models

Andrea De Gaetano, Susanne Ditlevsen, Umberto Picchini, 2010 .

Terlipressin versus Norepinephrine to Counteract Anesthesia-induced Hypotension in Patients Treated with Renin-Angiotensin System Inhibitors: Effects on Systemic and Regional Hemodynamics

A. De Gaetano, Umberto Picchini, G. Conti, 2005, Anesthesiology.

Guided sequential ABC schemes for intractable Bayesian models

Umberto Picchini, M. Tamborrino, 2022, 2206.12235.

Effects of levosimendan on right ventricular afterload in patients with acute respiratory distress syndrome: A pilot study*

A. De Gaetano, Umberto Picchini, M. Westphal, 2006, Critical care medicine.

Sequential Neural Posterior and Likelihood Approximation

J. Frellsen, Umberto Picchini, Samuel Wiqvist, 2021, ArXiv.

Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models

Adeline Samson, Umberto Picchini, A. Samson, 2015, Comput. Stat..

PEPSDI: Scalable and flexible inference framework for stochastic dynamic single-cell models

M. Cvijovic, Umberto Picchini, G. Schmidt, 2021, bioRxiv.

Mathematical modeling of nerve mortality caused by diabetic neuropathy

Umberto Picchini, A. Särkkä, A. Loavenbruck, 2023 .

Practical estimation of high dimensional stochastic differential mixed-effects models

Susanne Ditlevsen, Umberto Picchini, Umberto Picchini, 2010, Comput. Stat. Data Anal..

Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal

Andrea De Gaetano, Petr Lánský, Susanne Ditlevsen, 2008, Neural Computation.

JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models

Stefan T. Radev, Umberto Picchini, Paul-Christian Burkner, 2023, arXiv.org.

Sequentially Guided MCMC Proposals for Synthetic Likelihoods and Correlated Synthetic Likelihoods

Jukka Corander, Umberto Picchini, Umberto Simola, 2020, Bayesian Analysis.

Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms

Andrew Golightly, Umberto Picchini, Samuel Wiqvist, 2019, Comput. Stat. Data Anal..

Adaptive MCMC for synthetic likelihoods and correlated synthetic likelihoods.

J. Corander, Umberto Picchini, U. Simola, 2020 .

A general approach to the apparent permeability index

B. Beck, Umberto Picchini, A. DeGaetano, 2008, Journal of Pharmacokinetics and Pharmacodynamics.

Prophylactic fenoldopam for renal protection in sepsis: A randomized, double-blind, placebo-controlled pilot trial*

R. Bellomo, C. Ronco, P. Serio, 2005, Critical care medicine.

Parameter Estimation in Stochastic Differential Mixed-Effects Models

Andrea De Gaetano, Susanne Ditlevsen, Umberto Picchini, 2006 .

SDE Toolbox: Simulation and estimation of stochastic differential equations with MATLAB.

Umberto Picchini, Umberto Picchini, 2007 .

A mathematical model of the euglycemic hyperinsulinemic clamp

Geltrude Mingrone, Simona Panunzi, Susanne Ditlevsen, 2005, Theoretical Biology and Medical Modelling.

Likelihood-free stochastic approximation EM for inference in complex models

Umberto Picchini, Umberto Picchini, 2016, Commun. Stat. Simul. Comput..

Approximate maximum likelihood estimation using data-cloning ABC

Rachele Anderson, Umberto Picchini, Umberto Picchini, 2015, Comput. Stat. Data Anal..

Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation

Jes Frellsen, Pierre-Alexandre Mattei, Umberto Picchini, 2019, ICML.

JANA: Jointly Amortized Neural Approximation of Complex Bayesian Models

Stefan T. Radev, Umberto Picchini, Paul-Christian Burkner, 2023, UAI.

Accelerating inference for diffusions observed with measurement error and large sample sizes using approximate Bayesian computation

Umberto Picchini, Umberto Picchini, J. Forman, 2013, 1310.0973.

Towards Data-Conditional Simulation for ABC Inference in Stochastic Differential Equations

Umberto Picchini, P. Jovanovski, Andrew Golightly, 2023, 2310.10329.

Statistical modeling of diabetic neuropathy: Exploring the dynamics of nerve mortality

Umberto Picchini, A. Särkkä, Konstantinos Konstantinou, 2023, Statistics in medicine.

Guided sequential ABC schemes for intractable Bayesian models

Umberto Picchini, M. Tamborrino, 2022, 2206.12235.

Maximum likelihood estimation of a time-inhomogeneous stochastic differential model of glucose dynamics.

A. De Gaetano, Umberto Picchini, Susanne Ditlevsen, 2008, Mathematical medicine and biology : a journal of the IMA.

Theoretical Biology and Medical Modelling Open Access a Mathematical Model of the Euglycemic Hyperinsulinemic Clamp

A. De Gaetano, Umberto Picchini, S. Panunzi, 2022 .

Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms

A. Golightly, Umberto Picchini, Samuel Wiqvist, 2019, Computational Statistics & Data Analysis.

Scalable and flexible inference framework for stochastic dynamic single-cell models

M. Cvijovic, Umberto Picchini, Sviatlana Shashkova, 2022, PLoS Comput. Biol..