Antonietta Mira

33 papers Misc 1Journal 29Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A general framework for adaptive nonparametric dimensionality reduction. CoRR Antonio Di Noia, Federico Ravenda, Antonietta Mira
2025	J	`jnl`	A probabilistic spatio-temporal neural network to forecast COVID-19 counts. Int. J. Data Sci. Anal. Federico Ravenda, Mirko Cesarini, Stefano Peluso, Antonietta Mira
2025	J	`jnl`	A self-supervised seed-driven approach to topic modelling and clustering. J. Intell. Inf. Syst. Federico Ravenda, Seyed Ali Bahrainian, Andrea Raballo, Antonietta Mira, Fabio Crestani
2025	—	`conf`	Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice. ACL (1) Federico Ravenda, Seyed Ali Bahrainian, Andrea Raballo, Antonietta Mira, Noriko Kando
2025	J	`jnl`	Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice. CoRR Federico Ravenda, Seyed Ali Bahrainian, Andrea Raballo, Antonietta Mira, Noriko Kando
2025	J	`jnl`	Causal Posterior Estimation. CoRR Simon Dirmeier, Antonietta Mira
2025	J	`jnl`	Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks. Adv. Data Anal. Classif. Francesco Bartolucci, Antonietta Mira, Stefano Peluso
2025	J	`jnl`	Navigating through the hidden embedding space: steering LLMs to improve mental health assessment. CoRR Federico Ravenda, Seyed Ali Bahrainian, Andrea Raballo, Antonietta Mira
2025	Misc	`conf`	Tailoring Adaptive-Zero-Shot Retrieval and Probabilistic Modelling for Psychometric Data. SAC Federico Ravenda, Seyed Ali Bahrainian, Noriko Kando, Antonietta Mira, Andrea Raballo, Fabio Crestani
2025	J	`jnl`	When non-response makes estimates from a census a small area estimation problem: the case of the survey on graduates' employment status in Italy. Adv. Data Anal. Classif. Maria Giovanna Ranalli, Fulvia Pennoni, Francesco Bartolucci, Antonietta Mira
2024	J	`jnl`	Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identification. CoRR Antonio Di Noia, Iuri Macocco, Aldo Glielmo, Alessandro Laio, Antonietta Mira
2024	J	`jnl`	Federated Learning for Non-factorizable Models using Deep Generative Prior Approximations. CoRR Conor Hassan, Joshua J. Bon, Elizaveta Semenova, Antonietta Mira, Kerrie L. Mengersen
2024	J	`jnl`	Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference. CoRR Conor Hassan, Matthew Sutton, Antonietta Mira, Kerrie L. Mengersen
2024	J	`jnl`	Simulation-based inference with the Python Package sbijax. CoRR Simon Dirmeier, Simone Ulzega, Antonietta Mira, Carlo Albert
2023	—	`conf`	Incremental Mixture of Normalizing Flows for Dynamic Topic Modelling. IIR Federico Ravenda, Andrea Raballo, Antonietta Mira, Fabio Crestani
2022	J	`jnl`	Control Variates for Constrained Variables. IEEE Signal Process. Lett. Simon Maskell, Yifan Zhou, Antonietta Mira
2022	J	`jnl`	Learning Summary Statistics for Bayesian Inference with Autoencoders. CoRR Carlo Albert, Simone Ulzega, Firat Ozdemir, Fernando Pérez-Cruz, Antonietta Mira
2022	J	`jnl`	Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning. PLoS Comput. Biol. Ritabrata Dutta, Karim Zouaoui Boudjeltia, Christos Kotsalos, Alexandre Rousseau, Daniel Ribeiro de Sousa, Jean-Marc Desmet, Alain Van Meerhaeghe, Antonietta Mira, Bastien Chopard
2021	J	`jnl`	A Bayesian semiparametric vector Multiplicative Error Model. Comput. Stat. Data Anal. Nicola Donelli, Stefano Peluso, Antonietta Mira
2021	J	`jnl`	ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation. J. Stat. Softw. Ritabrata Dutta, Marcel Schöngens, Lorenzo Pacchiardi, Avinash Ummadisingu, Nicole Widmer, Pierre Künzli, Jukka-Pekka Onnela, Antonietta Mira
2020	J	`jnl`	Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation. PLoS Comput. Biol. Abhishek Varghese, Christopher C. Drovandi, Antonietta Mira, Kerrie L. Mengersen
2020	J	`jnl`	Flexible model selection for mechanistic network models. J. Complex Networks Sixing Chen, Antonietta Mira, Jukka-Pekka Onnela
2019	J	`jnl`	Clustering by the local intrinsic dimension: the hidden structure of real-world data. CoRR Michele Allegra, Elena Facco, Alessandro Laio, Antonietta Mira
2017	—	`conf`	ABCpy: A User-Friendly, Extensible, and Parallel Library for Approximate Bayesian Computation. PASC Ritabrata Dutta, Marcel Schöngens, Jukka-Pekka Onnela, Antonietta Mira
2017	J	`jnl`	Introduction to the special issue on Bayesian Nonparametrics. Int. J. Approx. Reason. Alessio Benavoli, Antonio Lijoi, Antonietta Mira
2017	J	`jnl`	Robust identification of highly persistent interest rate regimes. Int. J. Approx. Reason. Stefano Peluso, Antonietta Mira, Pietro Muliere
2015	J	`jnl`	An introduction to the special issue "Joint IMS-ISBA meeting - MCMSki 4". Stat. Comput. Antonietta Mira, Christian P. Robert
2015	J	`jnl`	Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks. Stat. Comput. Alberto Caimo, Antonietta Mira
2013	J	`jnl`	Zero variance Markov chain Monte Carlo for Bayesian estimators. Stat. Comput. Antonietta Mira, Reza Solgi, Daniele Imparato
2012	J	`jnl`	Parallel hierarchical sampling: A general-purpose interacting Markov chains Monte Carlo algorithm. Comput. Stat. Data Anal. Fabio Rigat, Antonietta Mira
2011	J	`jnl`	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. Maurizio Filippone, Antonietta Mira, Mark A. Girolami
2006	J	`jnl`	DRAM: Efficient adaptive MCMC. Stat. Comput. Heikki Haario, Marko Laine, Antonietta Mira, Eero Saksman
2006	J	`jnl`	Stationarity preserving and efficiency increasing probability mass transfers made possible. Comput. Stat. Antonietta Mira