activity
20202024
most citedA Unified Bayesian Framework for Mortality Model Selection

6 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024★ 6 cited

A Unified Bayesian Framework for Mortality Model Selection

Alex Diana, Jackie Wong Siaw Tze, Aniketh Pittea

In recent years, a wide range of mortality models has been proposed to address the diverse factors influencing mortality rates, which has highlighted the need to perform model sele…

stat.AP2024

Hidden Markov models with an unknown number of states and a repulsive prior on the state parameters

Ioannis Rotous, Alex Diana, Alessio Farcomeni +2

Hidden Markov models (HMMs) offer a robust and efficient framework for analyzing time series data, modelling both the underlying latent state progression over time and the observat…

stat.AP2022★ 5 cited

eDNAPlus: A unifying modelling framework for DNA-based biodiversity monitoring

Alex Diana, Eleni Matechou, Jim Griffin +5

DNA-based biodiversity surveys involve collecting physical samples from survey sites and assaying the contents in the laboratory to detect species via their diagnostic DNA sequence…

stat.AP2021

Fast Bayesian inference for large occupancy data sets, using the Polya-Gamma scheme

Alex Diana, Emily Dennis, Eleni Matechou +1

In recent years, the study of species' occurrence has benefited from the increased availability of large-scale citizen-science data. Whilst abundance data from standardized monitor…

stat.ME2020

A general modelling framework for open wildlife populations based on the Polya Tree prior

Alex Diana, Eleni Matechou, Jim Griffin +5

Wildlife monitoring for open populations can be performed using a number of different survey methods. Each survey method gives rise to a type of data and, in the last five decades,…