Publications

Angelos Alexopoulos, Petros Dellaportas, Michalis Titsias (2024). Gaussian invariance in Markov chain Monte Carlo.
Angelos Alexopoulos, Paul Birrell, Daniela De Angelis (2024). A stochastic dynamical model for epidemic nowcasting and forecasting.
Pantelis Samartsidis, Shaun R. Seaman, Abbie Harrison, Angelos Alexopoulos, Gareth J. Hughes, Isabel Oliver, Daniela De Angelis (2024). A Bayesian multivariate factor analysis model for causal inference using time series observational data on mixed outcomes. Biostatistics.
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Angelos Alexopoulos, Petros Varthalitis (2023). A machine learning approach to construct quarterly data on intangible investment for Eurozone. Economics Letters.
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Angelos Alexopoulos, Petros Dellaportas, Stanley Gyoshev, Christos Kotsogiannis, Sofia C. Olhede, Trifon Pavkov (2023). Networks and machine learning to detect Value Added Tax fraud.
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Angelos Alexopoulos, Petros Dellaportas, Michalis Titsias (2023). Variance reduction for Metropolis-Hastings samplers. Statistics and Computing.
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Angelos Alexopoulos, Petros Dellaportas, Omiros Papaspiliopoulos (2022). Bayesian prediction of jumps in large panels of time series data. Bayesian Analysis.
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Angelos Alexopoulos, Leonardo Bottolo (2021). Bayesian Variable Selection for Gaussian copula regression models. Journal of Computational and Graphical Statistics.
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Angelos Alexopoulos, Petros Dellaportas, Jonathan J. Forster (2019). Bayesian forecasting of mortality rates by using latent Gaussian models. Journal of the Royal Statistical Society Series A: Statistics in Society.
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