Stationarity preserving and efficiency increasing probability mass transfers made possible. - Antonietta Mira (Comput. Stat., 2006)

DRAM: Efficient adaptive MCMC. - Heikki Haario; Marko Laine; Antonietta Mira; Eero Saksman (Stat. Comput., 2006)

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)

Parallel hierarchical sampling: A general-purpose interacting Markov chains Monte Carlo algorithm. - Fabio Rigat; Antonietta Mira (Comput. Stat. Data Anal., 2012)

Zero variance Markov chain Monte Carlo for Bayesian estimators. - Antonietta Mira; Reza Solgi; Daniele Imparato (Stat. Comput., 2013)

Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks. - Alberto Caimo; Antonietta Mira (Stat. Comput., 2015)

An introduction to the special issue "Joint IMS-ISBA meeting - MCMSki 4". - Antonietta Mira; Christian P. Robert (Stat. Comput., 2015)

ABCpy: A User-Friendly, Extensible, and Parallel Library for Approximate Bayesian Computation. - Ritabrata Dutta; Marcel Schöngens; Jukka-Pekka Onnela; Antonietta Mira (PASC, 2017)

Introduction to the special issue on Bayesian Nonparametrics. - Alessio Benavoli; Antonio Lijoi; Antonietta Mira (Int. J. Approx. Reason., 2017)

Robust identification of highly persistent interest rate regimes. - Stefano Peluso; Antonietta Mira; Pietro Muliere (Int. J. Approx. Reason., 2017)

Clustering by the local intrinsic dimension: the hidden structure of real-world data. - Michele Allegra; Elena Facco; Alessandro Laio; Antonietta Mira (CoRR, 2019)

Flexible model selection for mechanistic network models. - Sixing Chen; Antonietta Mira; Jukka-Pekka Onnela (J. Complex Networks, 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)

A Bayesian semiparametric vector Multiplicative Error Model. - Nicola Donelli; Stefano Peluso; Antonietta Mira (Comput. Stat. Data Anal., 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)

Learning Summary Statistics for Bayesian Inference with Autoencoders. - Carlo Albert; Simone Ulzega; Firat Ozdemir; Fernando Pérez-Cruz; Antonietta Mira (CoRR, 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)

Control Variates for Constrained Variables. - Simon Maskell; Yifan Zhou; Antonietta Mira (IEEE Signal Process. Lett., 2022)

Incremental Mixture of Normalizing Flows for Dynamic Topic Modelling. - Federico Ravenda; Andrea Raballo; Antonietta Mira; Fabio Crestani (IIR, 2023)

Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference. - Conor Hassan; Matthew Sutton; Antonietta Mira; Kerrie L. Mengersen (CoRR, 2024)

Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identification. - Antonio Di Noia; Iuri Macocco; Aldo Glielmo; Alessandro Laio; Antonietta Mira (CoRR, 2024)

Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations. - Conor Hassan; Joshua J. Bon; Elizaveta Semenova; Antonietta Mira; Kerrie L. Mengersen (CoRR, 2024)

Simulation-based inference with the Python Package sbijax. - Simon Dirmeier; Simone Ulzega; Antonietta Mira; Carlo Albert (CoRR, 2024)

Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice. - Federico Ravenda; Seyed Ali Bahrainian; Andrea Raballo; Antonietta Mira; Noriko Kando (ACL (1), 2025)

Tailoring Adaptive-Zero-Shot Retrieval and Probabilistic Modelling for Psychometric Data. - Federico Ravenda; Seyed Ali Bahrainian; Noriko Kando; Antonietta Mira; Andrea Raballo; Fabio Crestani (SAC, 2025)

A self-supervised seed-driven approach to topic modelling and clustering. - Federico Ravenda; Seyed Ali Bahrainian; Andrea Raballo; Antonietta Mira; Fabio Crestani (J. Intell. Inf. Syst., 2025)

Causal Posterior Estimation. - Simon Dirmeier; Antonietta Mira (CoRR, 2025)

When non-response makes estimates from a census a small area estimation problem: the case of the survey on graduates' employment status in Italy. - Maria Giovanna Ranalli; Fulvia Pennoni; Francesco Bartolucci; Antonietta Mira (Adv. Data Anal. Classif., 2025)

A probabilistic spatio-temporal neural network to forecast COVID-19 counts. - Federico Ravenda; Mirko Cesarini; Stefano Peluso; Antonietta Mira (Int. J. Data Sci. Anal., 2025)