Petros Dellaportas
University College London
H-index: 29
Europe-United Kingdom
Top articles of Petros Dellaportas
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring | arXiv preprint arXiv:2404.16496 | Filippo Fiocchi Domna Ladopoulou Petros Dellaportas | 2024/4/25 |
Bayesian tensor factorisations for time series of counts | Machine Learning | Zhongzhen Wang Petros Dellaportas Ioannis Kosmidis | 2023/12/27 |
Scalable marked point processes for exchangeable and non-exchangeable event sequences | Aristeidis Panos Ioannis Kosmidis Petros Dellaportas | 2023/4/11 | |
Inference for partially observed Riemannian Ornstein–Uhlenbeck diffusions of covariance matrices | Bernoulli | Mai Ngoc Bui Yvo Pokern Petros Dellaportas | 2023/11 |
Proposer of the vote of thanks to Narayanan, Kosmidis and Dellaportas and contribution to the Discussion of′ Flexible marked spatio-temporal point processes with applications … | Journal of the Royal Statistical Society Series C: Applied Statistics | Dimitris Karlis | 2023/11 |
Variance reduction for Metropolis–Hastings samplers | Statistics and Computing | Angelos Alexopoulos Petros Dellaportas Michalis K Titsias | 2023/2 |
Doubly-online changepoint detection for monitoring health status during sports activities | The Annals of Applied Statistics | Mattia Stival Mauro Bernardi Petros Dellaportas | 2023/9 |
Towards a Framework for a New Research Ecosystem | arXiv preprint arXiv:2312.07065 | Roberto Savona Cristina Maria Alberini Lucia Alessi Iacopo Baussano Petros Dellaportas | 2023/12/12 |
Scalable inference for a full multivariate stochastic volatility model | Journal of Econometrics | Petros Dellaportas Michalis K Titsias Katerina Petrova Anastasios Plataniotis | 2023/2/1 |
Learning variational autoencoders via MCMC speed measures | arXiv preprint arXiv:2308.13731 | Marcel Hirt Vasileios Kreouzis Petros Dellaportas | 2023/8/26 |
Reservoir computing for macroeconomic forecasting with mixed-frequency data | International Journal of Forecasting | Giovanni Ballarin Petros Dellaportas Lyudmila Grigoryeva Marcel Hirt Sophie van Huellen | 2023/12/7 |
Doubly-online change-point detection for monitoring health status during sport activities | THE ANNALS OF APPLIED STATISTICS | Mauro Bernardi Mattia Stival Petros Dellaportas | 2023 |
Bayesian online change point detection with Hilbert space approximate Student-t process | Jeremy Sellier Petros Dellaportas | 2023/7/3 | |
Authors’ reply to the Discussion of ‘Flexible marked spatio-temporal point processes with applications to event sequences from association football’ | Journal of the Royal Statistical Society Series C: Applied Statistics | Santhosh Narayanan Ioannis Kosmidis Petros Dellaportas | 2023/11 |
Missing data patterns in runners’ careers: do they matter? | Journal of the Royal Statistical Society Series C: Applied Statistics | Mattia Stival Mauro Bernardi Manuela Cattelan Petros Dellaportas | 2023/1/1 |
Sparse Spectral Bayesian Permanental Process with Generalized Kernel | Jeremy Sellier Petros Dellaportas | 2023/4/11 | |
Flexible marked spatio-temporal point processes with applications to event sequences from association football | Journal of the Royal Statistical Society Series C: Applied Statistics | Santhosh Narayanan Ioannis Kosmidis Petros Dellaportas | 2023/11 |
How good are low-rank approximations in Gaussian process regression? | Proceedings of the AAAI Conference on Artificial Intelligence | Constantinos Daskalakis Petros Dellaportas Aristeidis Panos | 2022/6/28 |
Bayesian prediction of jumps in large panels of time series data | Bayesian Analysis | Angelos Alexopoulos Petros Dellaportas Omiros Papaspiliopoulos | 2022/6 |
Longitudinal clustering of athletes’ careers under informative missing data patterns | Mattia Stival Mauro Bernardi Manuela Cattelan Petros Dellaportas | 2022 |
Co-Authors
