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07/11/2023
Bayesian Poisson Regression and Tensor Train Decomposition Model for Learning Mortality Pattern Changes during COVID-19 Pandemic
COVID-19 has led to excess deaths around the world, however it remains u...
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05/02/2022
Multiple hypothesis screening using mixtures of non-local distributions
The analysis of large-scale datasets, especially in biomedical contexts,...
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03/27/2022
A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy
Italy, particularly the Lombardy region, was among the first countries o...
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03/08/2022
On the intrinsic dimensionality of Covid-19 data: a global perspective
This paper aims to develop a global perspective of the complexity of the...
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01/28/2022
Learning Summary Statistics for Bayesian Inference with Autoencoders
For stochastic models with intractable likelihood functions, approximate...
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07/09/2021
A Bayesian Semiparametric Vector Multiplicative Error Model
Interactions among multiple time series of positive random variables are...
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05/05/2021
A Bayesian latent allocation model for clustering compositional data with application to the Great Barrier Reef
Relative abundance is a common metric to estimate the composition of spe...
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05/05/2021
On the mathematical axiomatization of approximate Bayesian computation. A robust set for estimating mechanistic network models through optimal transport
We research relations between optimal transport theory (OTT) and approxi...
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04/28/2021
Distributional Results for Model-Based Intrinsic Dimension Estimators
Modern datasets are characterized by a large number of features that may...
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11/09/2020
Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries
Approximate Bayesian computation (ABC) is a simulation-based likelihood-...
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10/13/2020
Interpretable pathological test for Cardio-vascular disease: Approximate Bayesian computation with distance learning
Cardio/cerebrovascular diseases (CVD) have become one of the major healt...
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08/17/2020
A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data
The use of high-dimensional data for targeted therapeutic interventions ...
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02/11/2020
The role of intrinsic dimension in high-resolution player tracking data – Insights in basketball
A new range of statistical analysis has emerged in sports after the intr...
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09/05/2019
Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation
The Banana Bunchy Top Virus (BBTV) is one of the most economically impor...
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05/28/2019
Conditionally Gaussian Random Sequences for an Integrated Variance Estimator with Correlation between Noise and Returns
Correlation between microstructure noise and latent financial logarithmi...
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02/27/2019
Clustering by the local intrinsic dimension: the hidden structure of real-world data
It is well known that a small number of variables is often sufficient to...
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11/13/2018
Regularised Zero-Variance Control Variates for High-Dimensional Variance Reduction
Zero-variance control variates (ZV-CV) are a post-processing method to r...
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11/13/2018
Regularised Zero-Variance Control Variates
Zero-variance control variates (ZV-CV) is a post-processing method to re...
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10/20/2018
Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks
A new modeling framework for bipartite social networks arising from a se...
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04/08/2018
Bayesian Calibration of Force-fields from Experimental Data: TIP4P Water
Molecular dynamics (MD) simulations give access to equilibrium and/or dy...
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04/07/2018
Likelihood-Free Parameter Estimation for Dynamic Queueing Networks
Many complex real-world systems such as airport terminals, manufacturing...
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04/01/2018
Flexible Model Selection for Mechanistic Network Models via Super Learner
Application of network models can be found in many domains due to the va...
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02/28/2018
Fast Maximum Likelihood estimation via Equilibrium Expectation for Large Network Data
Complex network data may be analyzed by constructing statistical models ...
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11/13/2017
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation
ABCpy is a highly modular scientific library for Approximate Bayesian Co...
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10/03/2017
Parameter estimation of platelets deposition: Approximate Bayesian computation with high performance computing
A numerical model that quantitatively describes how platelets in a shear...
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09/26/2017
Bayesian Inference of Spreading Processes on Networks
Infectious diseases are studied to understand their spreading mechanisms...
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09/26/2017