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Scientific output scales with resources. A comparison of US and European universities

PloS one, 2019-10, Vol.14 (10), p.e0223415-e0223415

2019

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The generalized ratios intrinsic dimension estimator

Scientific reports, 2022-11, Vol.12 (1), p.20005-20005, Article 20005

2022

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Data segmentation based on the local intrinsic dimension

Scientific reports, 2020-10, Vol.10 (1), p.16449-16449, Article 16449

2020

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Framework for assessing and easing global COVID-19 travel restrictions

Scientific reports, 2022-04, Vol.12 (1), p.6985-6985, Article 6985

2022

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Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data

Scientific reports, 2018-07, Vol.8 (1), p.11509-11, Article 11509

2018

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A global perspective on the intrinsic dimensionality of COVID-19 data

Scientific reports, 2023-06, Vol.13 (1), p.9761-9761, Article 9761

2023

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Bayesian inference of spreading processes on networks

Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences, 2018-07, Vol.474 (2215), p.20180129-20180129

Royal Society (Great Britain), 2018

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Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning

PLoS computational biology, 2022-03, Vol.18 (3), p.e1009910-e1009910

2022

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Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation

PLoS computational biology, 2020-05, Vol.16 (5), p.e1007878-e1007878

2020

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ABCpy : A High-Performance Computing Perspective to Approximate Bayesian Computation

Journal of statistical software, 2021-11, Vol.100 (7), p.1-38

2021

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Hindsight is 2020 vision: a characterisation of the global response to the COVID-19 pandemic

BMC public health, 2020-12, Vol.20 (1), p.1868-1868, Article 1868

2020

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The Capstone in Everyone’s Delivery Room: Placing ‘Practice’ at the Center of Data Science Education

Harvard data science review, 2021-02

2021

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Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement

PloS one, 2020-08, Vol.15 (8), p.e0238067-e0238067

2020

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Evaluating health facility access using Bayesian spatial models and location analysis methods

PloS one, 2019-08, Vol.14 (8), p.e0218310-e0218310

2019

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Assessing the heterogeneity of the impact of COVID-19 incidence on all-cause excess mortality among healthcare districts in Lombardy, Italy, to evaluate the local response to the pandemic: an ecological study

BMJ open, 2024-02, Vol.14 (2), p.e077476-e077476

2024

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A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy

Statistical methods & applications, 2024-04, Vol.33 (2), p.635-659

2024

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Auxiliary Parameter MCMC for Exponential Random Graph Models

Journal of statistical physics, 2016-11, Vol.165 (4), p.740-754

2016

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Learning Summary Statistics for Bayesian Inference with Autoencoders

SciPost physics core, 2022-09, Vol.5 (3), p.043, Article 043

2022

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Radiomics and machine learning applied to STIR sequence for prediction of quantitative parameters in facioscapulohumeral disease

Frontiers in neurology, 2023-02, Vol.14, p.1105276-1105276

2023

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Parameter Estimation of Platelets Deposition: Approximate Bayesian Computation With High Performance Computing

Frontiers in physiology, 2018-08, Vol.9, p.1128-1128

2018

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A multivariate statistical approach to predict COVID‐19 count data with epidemiological interpretation and uncertainty quantification

Statistics in medicine, 2021-10, Vol.40 (24), p.5351-5372

2021

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A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data

Journal of the American Statistical Association, 2023, Vol.118 (541), p.405-416

2023

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Control Variates for Constrained Variables

IEEE signal processing letters, 2022, Vol.29, p.1-5

2022

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IEEE_Xplore

Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks

Statistics and computing, 2015-01, Vol.25 (1), p.113-125

2015

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Multiple hypothesis screening using mixtures of non‐local distributions with applications to genomic studies

Statistics in medicine, 2023-05, Vol.42 (12), p.1931-1945

2023

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Scientific output scales with resources. A comparison of US and European universities

The generalized ratios intrinsic dimension estimator

Data segmentation based on the local intrinsic dimension

Framework for assessing and easing global COVID-19 travel restrictions

Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data

A global perspective on the intrinsic dimensionality of COVID-19 data

Bayesian inference of spreading processes on networks

Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning

Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation

ABCpy : A High-Performance Computing Perspective to Approximate Bayesian Computation

Hindsight is 2020 vision: a characterisation of the global response to the COVID-19 pandemic

The Capstone in Everyone’s Delivery Room: Placing ‘Practice’ at the Center of Data Science Education

Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement

Evaluating health facility access using Bayesian spatial models and location analysis methods

Assessing the heterogeneity of the impact of COVID-19 incidence on all-cause excess mortality among healthcare districts in Lombardy, Italy, to evaluate the local response to the pandemic: an ecological study

A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy

Auxiliary Parameter MCMC for Exponential Random Graph Models

Learning Summary Statistics for Bayesian Inference with Autoencoders

Radiomics and machine learning applied to STIR sequence for prediction of quantitative parameters in facioscapulohumeral disease

Parameter Estimation of Platelets Deposition: Approximate Bayesian Computation With High Performance Computing

A multivariate statistical approach to predict COVID‐19 count data with epidemiological interpretation and uncertainty quantification

A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data

Control Variates for Constrained Variables

Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks

Multiple hypothesis screening using mixtures of non‐local distributions with applications to genomic studies

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