PAPASPILIOPOULOS, OMIROS
PAPASPILIOPOULOS, OMIROS
Dipartimento di Scienze delle Decisioni
An introduction to Sequential Monte Carlo
2020 Chopin, Nicolas; Papaspiliopoulos, Omiros
Bayesian block-diagonal variable selection and model averaging
2017 Papaspiliopoulos, Omiros; Rossell, David
Bayesian non-parametric hidden Markov models with applications in genomics
2011 Yau, Christopher; Papaspiliopoulos, Omiros; Roberts, Gareth O.; Holmes, Christopher
Bayesian prediction of jumps in large panels of time series data
2022 Alexopoulos, Angelos; Dellaportas, Petros; Papaspiliopoulos, Omiros
Conjugate gradient methods for high-dimensional GLMMs
In corso di stampa Pandolfi, Andrea; Papaspiliopoulos, Omiros; Zanella, Giacomo
Exact inference for a class of hidden Markov models on general state spaces
2021 King, Guillaume Kon Kam; Papaspiliopoulos, Omiros; Ruggiero, Matteo
High-Dimensional Probability: An Introduction with Applications in Data Science
2020 Papaspiliopoulos, Omiros
Importance sampling: Intrinsic dimension and computational cost
2017 Agapiou, Sergios; Papaspiliopoulos, Omiros; Sanz-Alonso, Daniel; Stuart, Andrew M.
Inference for multiple treatment effects using confounder importance learning
In corso di stampa Papaspiliopoulos, Omiros; Rossell, David; Torrens-Dinarès, Miquel
Nonparametric estimation of diffusions: A differential equations approach
2012 Papaspiliopoulos, Omiros; Pokern, Yvo; Roberts, Gareth O.; Stuart, Andrew M.
Optimal filtering and the dual process
2014 Papaspiliopoulos, Omiros; Ruggiero, Matteo
Partially factorized variational inference for high-dimensional mixed models
2025 Goplerud, Max; Papaspiliopoulos, Omiros; Zanella, Giacomo
Scalable Bayesian computation for crossed and nested hierarchical models
2023 Papaspiliopoulos, Omiros; Stumpf-Fetizon, Timothee; Zanella, Giacomo
Scalable inference for crossed random effects models
2020 Papaspiliopoulos, Omiros.; Roberts, Garteh O.; Zanella, Giacomo