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Matias Quiroz
Matias Quiroz
Bestätigte E-Mail-Adresse bei uts.edu.au - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Speeding up MCMC by efficient data subsampling
M Quiroz, R Kohn, M Villani, MN Tran
Journal of the American Statistical Association 114 (526), 831-843, 2019
2582019
Variance reduction properties of the reparameterization trick
M Xu, M Quiroz, R Kohn, SA Sisson
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019
792019
The block-Poisson estimator for optimally tuned exact subsampling MCMC
M Quiroz, MN Tran, M Villani, R Kohn, KD Dang
Journal of Computational and Graphical Statistics 30 (4), 877-888, 2021
59*2021
Hamiltonian Monte Carlo with energy conserving subsampling
KD Dang, M Quiroz, R Kohn, MN Tran, M Villani
Journal of Machine Learning Research 20 (100), 1-31, 2019
562019
The block pseudo-marginal sampler
MN Tran, R Kohn, M Quiroz, M Villani
arXiv preprint arXiv:1603.02485, 2016
53*2016
Gaussian variational approximation for high-dimensional state space models
M Quiroz, DJ Nott, R Kohn
Bayesian Analysis, 2022
52*2022
Speeding up MCMC by delayed acceptance and data subsampling
M Quiroz, MN Tran, M Villani, R Kohn
Journal of Computational and Graphical Statistics 27 (1), 12-22, 2018
492018
Predicting seagrass decline due to cumulative stressors
MP Adams, EJY Koh, MP Vilas, CJ Collier, VM Lambert, SA Sisson, ...
Environmental Modelling & Software 130, 104717, 2020
402020
Subsampling MCMC-An introduction for the survey statistician
M Quiroz, M Villani, R Kohn, MN Tran, KD Dang
Sankhya A 80 (1), 33-69, 2018
34*2018
Subsampling sequential Monte Carlo for static Bayesian models
D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran
Statistics and Computing 30 (6), 1741–1758, 2020
322020
Spectral Subsampling MCMC for Stationary Time Series
R Salomone, M Quiroz, R Kohn, M Villani, MN Tran
International Conference on Machine Learning Research, 2020
192020
Spectral Subsampling MCMC for Stationary Multivariate Time Series with Applications to Vector ARTFIMA Processes
M Villani, M Quiroz, R Kohn, R Salomone
Econometrics and Statistics 32, 98-121, 2024
9*2024
Dynamic mixture-of-experts models for longitudinal and discrete-time survival data
M Quiroz, M Villani
Riksbank Research Paper Series, 2013
72013
Bayesian inference on the Keller–Segel model
T Goodwin, C Evenhuis, S Woodcock, M Quiroz
ANZIAM Journal 61, C181-C196, 2019
22019
Perturbations of Markov Chains
D Rudolf, A Smith, M Quiroz
arXiv preprint arXiv:2404.10251, 2024
12024
A correlated pseudo-marginal approach to doubly intractable problems
Y Yang, M Quiroz, R Kohn, SA Sisson
arXiv preprint arXiv:2210.02734, 2022
12022
Bayesian Inference in Large Data Problems
M Quiroz
Department of Statistics, Stockholm University, 2015
12015
Forecasting realized covariances using HAR-type models
M Quiroz, L Tafakori, H Manner
arXiv preprint arXiv:2412.10791, 2024
2024
Dynamic linear regression models for forecasting time series with semi long memory errors
T Goodwin, M Quiroz, R Kohn
arXiv preprint arXiv:2408.09096, 2024
2024
Analysing symbolic data by pseudo-marginal methods
Y Yang, M Quiroz, B Beranger, R Kohn, SA Sisson
arXiv preprint arXiv:2408.04419, 2024
2024
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