Antonietta Mira

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 15

Top Topics

Summary Statistics

Top Venues

Int. J. Approx. Reason.

PLoS Comput. Biol.

Publications

Antonio Di Noia, Iuri Macocco, Aldo Glielmo, Alessandro Laio, Antonietta Mira
Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identification. CoRR (2024)
Conor Hassan, Joshua J. Bon, Elizaveta Semenova, Antonietta Mira, Kerrie L. Mengersen
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations. CoRR (2024)
Conor Hassan, Matthew Sutton, Antonietta Mira, Kerrie L. Mengersen
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference. CoRR (2024)
Federico Ravenda, Andrea Raballo, Antonietta Mira, Fabio Crestani
Incremental Mixture of Normalizing Flows for Dynamic Topic Modelling. IIR (2023)
Simon Maskell, Yifan Zhou, Antonietta Mira
Control Variates for Constrained Variables. IEEE Signal Process. Lett. 29 (2022)
Carlo Albert, Simone Ulzega, Firat Ozdemir, Fernando Perez-Cruz, Antonietta Mira
Learning Summary Statistics for Bayesian Inference with Autoencoders. CoRR (2022)
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)
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)
Nicola Donelli, Stefano Peluso, Antonietta Mira
A Bayesian semiparametric vector Multiplicative Error Model. Comput. Stat. Data Anal. 161 (2021)
Sixing Chen, Antonietta Mira, Jukka-Pekka Onnela
Flexible model selection for mechanistic network models. J. Complex Networks 8 (2) (2020)
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)
Michele Allegra, Elena Facco, Alessandro Laio, Antonietta Mira
Clustering by the local intrinsic dimension: the hidden structure of real-world data. CoRR (2019)
Stefano Peluso, Antonietta Mira, Pietro Muliere
Robust identification of highly persistent interest rate regimes. Int. J. Approx. Reason. 83 (2017)
Alessio Benavoli, Antonio Lijoi, Antonietta Mira
Introduction to the special issue on Bayesian Nonparametrics. Int. J. Approx. Reason. 83 (2017)
Ritabrata Dutta, Marcel Schöngens, Jukka-Pekka Onnela, Antonietta Mira
ABCpy: A User-Friendly, Extensible, and Parallel Library for Approximate Bayesian Computation. PASC (2017)
Antonietta Mira, Christian P. Robert
An introduction to the special issue "Joint IMS-ISBA meeting - MCMSki 4". Stat. Comput. 25 (1) (2015)
Alberto Caimo, Antonietta Mira
Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks. Stat. Comput. 25 (1) (2015)
Antonietta Mira, Reza Solgi, Daniele Imparato
Zero variance Markov chain Monte Carlo for Bayesian estimators. Stat. Comput. 23 (5) (2013)
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) (2011)
Antonietta Mira
Stationarity preserving and efficiency increasing probability mass transfers made possible. Comput. Stat. 21 (3-4) (2006)
Heikki Haario, Marko Laine, Antonietta Mira, Eero Saksman
DRAM: Efficient adaptive MCMC. Stat. Comput. 16 (4) (2006)