Publications

(2023). Sparse Spectral Bayesian Permanental Process with Generalized Kernel. Artificial intelligence and Statistics (AISTAT 2023).

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(2023). Scalable and Interpretable Marked Point Processes. Artificial intelligence and Statistics (AISTAT 2023).

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(2023). Missing data patterns in runners’ careers: do they matter?. Journal of the Royal Statistical Society Series C: Applied Statistics.

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(2023). Flexible marked spatio-temporal point processes with applications to event sequences from association football. Discussion paper at the Journal of the Royal Statistical Society Series C: Applied Statistics.

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(2023). Bayesian online change point detection with Hilbert space approximate Student-t process. Proceedings of the 40th International Conference on Machine Learning (ICML 2023).

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(2021). How Good are Low-Rank Approximations in Gaussian Process Regression?. 36th AAAI Conference on Artificial Intelligence (oral presentation).

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(2021). Entropy-based adaptive Hamiltonian Monte Carlo. Advances in Neural Information Processing Systems.

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(2019). Gradient-based adaptive Markov chain Monte Carlo. Advances in Neural Information Processing Systems.

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(2019). Efficient sequential Monte Carlo algorithms for integrated population models. Journal of Agricultural, Biological and Environmental Statistics.

(2019). Copula-like Variational Inference. Advances in Neural Information Processing Systems.

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(2019). Bayesian forecasting of mortality rates by using latent Gaussian models. Journal of the Royal Statistical Society: Series A (Statistics in Society).

(2016). Bayesian Hierarchical Mixture Models. Statistical Analysis for High Dimensional Data, Abel Symposia 11.

(2013). An MCMC model search algorithm for regression problems. Journal of Statistical Computation and Simulation.

(2012). Control variates for estimation based on reversible Markov chain Monte Carlo samplers. Journal of the Royal Statistical Society: Series B (Statistical Methodology).

(2012). Conditional symmetry models for three-way contingency tables. Journal of Statistical Planning and Inference.

(2008). Bayesian clustering for row effects models. Journal of Statistical Planning and Inference.

(2005). Model determination for categorical data with factor level merging. Journal of the Royal Statistical Society: Series B (Statistical Methodology).

(2004). Bayesian inference for non-Gaussian Ornstein--Uhlenbeck stochastic volatility processes. Journal of the Royal Statistical Society: Series B (Statistical Methodology).

(2003). Assessment of Athens's metro passenger behaviour via a multiranked probit model. Journal of the Royal Statistical Society: Series C (Applied Statistics).

(2003). An introduction to MCMC. Spatial statistics and computational methods.

(2001). Bayesian analysis of mortality data. Journal of the Royal Statistical Society: Series A (Statistics in Society).

(2001). Bayesian analysis of correlated proportions. Sankhyā: The Indian Journal of Statistics, Series B.

(2001). A simulation approach to hierarchical models. International Statistical Review.

(2000). An approach to multidimensional item response modeling. The Sixth World Meeting of the International Society for Bayesian Analysis ISBA.

(1998). Bayesian classification of neolithic tools. Journal of the Royal Statistical Society: Series C (Applied Statistics).

(1996). A comparative study of perinatal mortality using a two-component mixture model. Bayesian Biostatistics, (Statistics textbooks and monographs).