Antonietta Mira

According to our database, Antonietta Mira authored at least 19 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Incremental Mixture of Normalizing Flows for Dynamic Topic Modelling.

Federico Ravenda, Andrea Raballo, Antonietta Mira, Fabio Crestani

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

2022

Control Variates for Constrained Variables.

Simon Maskell, Yifan Zhou, Antonietta Mira

IEEE Signal Process. Lett., 2022

Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning.

Ritabrata Dutta, Karim Zouaoui Boudjeltia, Christos Kotsalos, Alexandre Rousseau, Daniel Ribeiro de Sousa, Jean-Marc Desmet, Alain Van Meerhaeghe, Antonietta Mira, Bastien Chopard

PLoS Comput. Biol., 2022

Learning Summary Statistics for Bayesian Inference with Autoencoders.

Carlo Albert, Simone Ulzega, Firat Ozdemir, Fernando Pérez-Cruz, Antonietta Mira

CoRR, 2022

2021

ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation.

Ritabrata Dutta, Marcel Schöngens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Pierre Künzli, Jukka-Pekka Onnela, Antonietta Mira

J. Stat. Softw., 2021

A Bayesian semiparametric vector Multiplicative Error Model.

Nicola Donelli, Stefano Peluso, Antonietta Mira

Comput. Stat. Data Anal., 2021

2020

Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation.

Abhishek Varghese, Christopher C. Drovandi, Antonietta Mira, Kerrie L. Mengersen

PLoS Comput. Biol., 2020

Flexible model selection for mechanistic network models.

Sixing Chen, Antonietta Mira, Jukka-Pekka Onnela

J. Complex Networks, 2020

2019

Clustering by the local intrinsic dimension: the hidden structure of real-world data.

Michele Allegra, Elena Facco, Alessandro Laio, Antonietta Mira

CoRR, 2019

2017

Robust identification of highly persistent interest rate regimes.

Stefano Peluso, Antonietta Mira, Pietro Muliere

Int. J. Approx. Reason., 2017

Introduction to the special issue on Bayesian Nonparametrics.

Alessio Benavoli, Antonio Lijoi, Antonietta Mira

Int. J. Approx. Reason., 2017

ABCpy: A User-Friendly, Extensible, and Parallel Library for Approximate Bayesian Computation.

Ritabrata Dutta, Marcel Schöngens, Jukka-Pekka Onnela, Antonietta Mira

Proceedings of the Platform for Advanced Scientific Computing Conference, 2017

2015

An introduction to the special issue "Joint IMS-ISBA meeting - MCMSki 4".

Antonietta Mira, Christian P. Robert

Stat. Comput., 2015

Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks.

Alberto Caimo, Antonietta Mira

Stat. Comput., 2015

2013

Zero variance Markov chain Monte Carlo for Bayesian estimators.

Antonietta Mira, Reza Solgi, Daniele Imparato

Stat. Comput., 2013

2012

Parallel hierarchical sampling: A general-purpose interacting Markov chains Monte Carlo algorithm.

Fabio Rigat, Antonietta Mira

Comput. Stat. Data Anal., 2012

2011

Discussion of the paper: "Sampling schemes for generalized linear Dirichlet process random effects models" by M. Kyung, J. Gill, and G. Casella.

Maurizio Filippone, Antonietta Mira, Mark A. Girolami

Stat. Methods Appl., 2011

2006

DRAM: Efficient adaptive MCMC.

Heikki Haario, Marko Laine, Antonietta Mira, Eero Saksman

Stat. Comput., 2006

Stationarity preserving and efficiency increasing probability mass transfers made possible.

Antonietta Mira

Comput. Stat., 2006