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Antonietta Mira
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2020 – today
- 2024
- [i6]Conor Hassan, Matthew Sutton, Antonietta Mira, Kerrie L. Mengersen:
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference. CoRR abs/2405.04043 (2024) - [i5]Antonio Di Noia, Iuri Macocco, Aldo Glielmo, Alessandro Laio, Antonietta Mira:
Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identification. CoRR abs/2405.15132 (2024) - [i4]Conor Hassan, Joshua J. Bon, Elizaveta Semenova, Antonietta Mira, Kerrie L. Mengersen:
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations. CoRR abs/2405.16055 (2024) - [i3]Simon Dirmeier, Simone Ulzega, Antonietta Mira, Carlo Albert:
Simulation-based inference with the Python Package sbijax. CoRR abs/2409.19435 (2024) - 2023
- [c2]Federico Ravenda, Andrea Raballo, Antonietta Mira, Fabio Crestani:
Incremental Mixture of Normalizing Flows for Dynamic Topic Modelling. IIR 2023: 18-23 - 2022
- [j15]Ritabrata Dutta, Karim Zouaoui Boudjeltia, Christos Kotsalos, Alexandre Rousseau, Daniel Ribeiro de Sousa, Jean-Marc Desmet, Alain Van Meerhaeghe, Antonietta Mira, Bastien Chopard:
Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning. PLoS Comput. Biol. 18(3) (2022) - [j14]Simon Maskell, Yifan Zhou, Antonietta Mira:
Control Variates for Constrained Variables. IEEE Signal Process. Lett. 29: 2333-2337 (2022) - [i2]Carlo Albert, Simone Ulzega, Firat Ozdemir, Fernando Pérez-Cruz, Antonietta Mira:
Learning Summary Statistics for Bayesian Inference with Autoencoders. CoRR abs/2201.12059 (2022) - 2021
- [j13]Nicola Donelli, Stefano Peluso, Antonietta Mira:
A Bayesian semiparametric vector Multiplicative Error Model. Comput. Stat. Data Anal. 161: 107242 (2021) - [j12]Ritabrata Dutta, Marcel Schöngens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Pierre Künzli, Jukka-Pekka Onnela, Antonietta Mira:
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation. J. Stat. Softw. 100(7) (2021) - 2020
- [j11]Sixing Chen, Antonietta Mira, Jukka-Pekka Onnela:
Flexible model selection for mechanistic network models. J. Complex Networks 8(2) (2020) - [j10]Abhishek Varghese, Christopher C. Drovandi, Antonietta Mira, Kerrie L. Mengersen:
Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation. PLoS Comput. Biol. 16(5) (2020)
2010 – 2019
- 2019
- [i1]Michele Allegra, Elena Facco, Alessandro Laio, Antonietta Mira:
Clustering by the local intrinsic dimension: the hidden structure of real-world data. CoRR abs/1902.10459 (2019) - 2017
- [j9]Stefano Peluso, Antonietta Mira, Pietro Muliere:
Robust identification of highly persistent interest rate regimes. Int. J. Approx. Reason. 83: 102-117 (2017) - [j8]Alessio Benavoli, Antonio Lijoi, Antonietta Mira:
Introduction to the special issue on Bayesian Nonparametrics. Int. J. Approx. Reason. 83: 193-195 (2017) - [c1]Ritabrata Dutta, Marcel Schöngens, Jukka-Pekka Onnela, Antonietta Mira:
ABCpy: A User-Friendly, Extensible, and Parallel Library for Approximate Bayesian Computation. PASC 2017: 8:1-8:9 - 2015
- [j7]Antonietta Mira, Christian P. Robert:
An introduction to the special issue "Joint IMS-ISBA meeting - MCMSki 4". Stat. Comput. 25(1): 1 (2015) - [j6]Alberto Caimo, Antonietta Mira:
Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks. Stat. Comput. 25(1): 113-125 (2015) - 2013
- [j5]Antonietta Mira, Reza Solgi, Daniele Imparato:
Zero variance Markov chain Monte Carlo for Bayesian estimators. Stat. Comput. 23(5): 653-662 (2013) - 2012
- [j4]Fabio Rigat, Antonietta Mira:
Parallel hierarchical sampling: A general-purpose interacting Markov chains Monte Carlo algorithm. Comput. Stat. Data Anal. 56(6): 1450-1467 (2012) - 2011
- [j3]Maurizio Filippone, Antonietta Mira, Mark A. Girolami:
Discussion of the paper: "Sampling schemes for generalized linear Dirichlet process random effects models" by M. Kyung, J. Gill, and G. Casella. Stat. Methods Appl. 20(3): 295-297 (2011)
2000 – 2009
- 2006
- [j2]Antonietta Mira:
Stationarity preserving and efficiency increasing probability mass transfers made possible. Comput. Stat. 21(3-4): 509-522 (2006) - [j1]Heikki Haario, Marko Laine, Antonietta Mira, Eero Saksman:
DRAM: Efficient adaptive MCMC. Stat. Comput. 16(4): 339-354 (2006)
Coauthor Index
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