activity
20042023
most citedDistributional Results for Model-Based Intrinsic Dimension Estimators

3 citations · 6 across the 9 of their papers we have counts for

collaborators
Showing stat.APShow all

7 papers · 1 filter

stat.AP2023

Bayesian Poisson Regression and Tensor Train Decomposition Model for Learning Mortality Pattern Changes during COVID-19 Pandemic

Wei Zhang, Antonietta Mira, Ernst C. Wit

COVID-19 has led to excess deaths around the world, however it remains unclear how the mortality of other causes of death has changed during the pandemic. Aiming at understanding t…

stat.AP2022

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

Angela Andreella, Antonietta Mira, Spyros Balafas +5

Italy, particularly the Lombardy region, was among the first countries outside of Asia to report cases of COVID-19. The emergency medical service called Regional Emergency Agency (…

stat.AP2022★ 2 cited

On the intrinsic dimensionality of Covid-19 data: a global perspective

Abhishek Varghese, Edgar Santos-Fernandez, Francesco Denti +2

This paper aims to develop a global perspective of the complexity of the relationship between the standardised per-capita growth rate of Covid-19 cases, deaths, and the OxCGRT Covi…

stat.AP2021

A Bayesian latent allocation model for clustering compositional data with application to the Great Barrier Reef

Luiza Piancastelli, Nial Friel, Julie Vercelloni +2

Relative abundance is a common metric to estimate the composition of species in ecological surveys reflecting patterns of commonness and rarity of biological assemblages. Measureme…

stat.AP2020

The role of intrinsic dimension in high-resolution player tracking data -- Insights in basketball

Edgar Santos-Fernandez, Francesco Denti, Kerrie Mengersen +1

A new range of statistical analysis has emerged in sports after the introduction of the high-resolution player tracking technology, specifically in basketball. However, this high d…

stat.AP2019

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

Abhishek Varghese, Christopher Drovandi, Kerrie Mengersen +1

The Banana Bunchy Top Virus (BBTV) is one of the most economically important vector-borne banana diseases throughout the Asia-Pacific Basin and presents a significant challenge to…