Antonietta Mira

http://usi.to/exz

Publications

Journal Article (82)

Di Noia A., Ravenda F., Mira A. (2026) A general framework for adaptive nonparametric dimensionality reduction, Scientific Reports
Ravenda F., Preti A., Poletti M., Mira A., Crestani F., Raballo A. (2025) Transforming social media text into predictive tools for depression through AI: A test-case study on the Beck Depression Inventory-II, PLOS Digital Health, 4 (6)
Ranalli M. G., Pennoni F., Bartolucci F., Mira A. (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, Advances in Data Analysis and Classification, 19 (2)
Di Noia A., Ruggeri F., Mira A. (2025) Likelihood Distortion and Bayesian Local Robustness, Bayesian Analysis, 20 (4)
Raballo A., Ravenda F., Mira A. (2025) Diagnosing schizophrenia spectrum disorders: Large language models (LLMs) vs. leading international psychiatrists (LIPs), Psychiatry and Clinical Neurosciences, 79 (9)
Ravenda F., Preti A., Poletti M., Mira A., Raballo A. (2025) Rethinking psychometrics through LLMs: how item semantics shape measurement and prediction in psychological questionnaires, Scientific Reports, 15 (1)
Andreella A., . Balafas S., Mira A., Wit E. J., Ruggeri F., Nattino G., Ghilardi G., Bertolini G. (2024) A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy, Statistical Methods and Applications
Zhang W., Mira A., Wit E. J. (2024) Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic, Journal of applied statistics
Salvagnin C., Glielmo A., De Giuli M. E., Mira A. (2024) Investigating the price determinants of the European Emission Trading System. A non-parametric approach, Quantitative Finance, 24 (10)
Ravenda F., Bahrainian S. A., Raballo A., Mira A., Crestani F. (2024) A self-supervised seed-driven approach to topic modelling and clustering, Journal of Intelligent Information Systems, 63 (1)
Auricchio A., Scquizzato T., Ravenda F., Cresta R., Peluso S., Caputo M. L., Tonazzi S., Benvenuti C., Mira A. (2024) Spatio-temporal distribution, prediction and relationship of three major acute cardiovascular events: Out-of-hospital cardiac arrest, ST-elevation myocardial infarction and stroke, Resuscitation Plus, 20
Piancastelli L., Friel N., Vercelloni J., Mengersen K., Mira A. (2024) Bayesian clustering of spatially distributed compositional data with application to the Great Barrier Reef, Scientific Reports, 14 (1)
Bartolucci F., Mira A., Peluso S. (2024) Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks, Advances in Data Analysis and Classification, 19 (4)
Macocco I., Mira A., Laio A. (2024) Intrinsic dimension as a multi-scale summary statistics in network modeling, Scientific Reports, 14 (1)
Ravenda F., Cesarini M., Peluso S., Mira A. (2024) A probabilistic spatio-temporal neural network to forecast COVID-19 counts, International Journal of Data Science and Analytics, 20 (2)
Paganuzzi M., Nattino G., Ghilardi G. I., Costantino G., Rossi C., Cortellaro F., Cosentini R., Paglia S., Migliori M., Mira A., Bertolini G. (2024) Assessing the heterogeneity of the impact of COVID-19 incidence on all-cause excess mortality among healthcare districts in Lombardy, Italy, to evaluate the local response to the pandemic: an ecological study, BMJ Open, 14 (2)
Varghese A., Santos-Fernandez E., Denti F., Mira A., Mengersen K. (2023) A global perspective on the intrinsic dimensionality of COVID-19 data, Nature Scientific Reports
Bartolucci F., Li Donni P., Mira A. (2023) Temporal analysis of hospital network data by hierarchical Bayesian p2 models with covariates, Journal of the Royal Statistical Society: Series A
Colelli G., Barzaghi L., Paoletti M., Monforte M., Bergsland N., Manco G., Deligianni X., Santini F., Ricci E., Tasca G., Mira A., Figini S. (2023) Radiomics and machine learning applied to STIR sequence for prediction of quantitative parameters in facioscapulohumeral diseas, Frontiers in Neurology
Allenspach S., Madsen A., Biffin A., Bartkowiak M., Prokhnenko O., Gazizulina A., Liu X., Wahle R., Gerischer S., Kempfer S., Heller P., Smeibidl P., Mira A., Laflorencie N., Mila F., Normand B., Rüegg C. (2023) Investigating field-induced magnetic order in Han Purple by neutron scattering up to 25.9 T, Physical Review B
Denti F., Peluso S., Guindani M., Mira A. (2023) Multiple hypothesis screening using mixtures of non‐local distributions with applications to genomic studies, Statistics in Medicine
Mira A., Denti F., Peluso S. (2023) Multiple hypothesis screening using mixtures of non‐local distributions with applications to genomic studies, Statistics in Medicine
Ghiringhelli C., Piras G., Arbia G., Mira A. (2023) Recursive Estimation of the Spatial Error Model, Geographical analysis
Maskell S., Zhou Y., Mira A. (2022) Control Variates for Constrained Variables, IEEE Signal Processing Letters
South L., Drovand C., Oates C., Mira A. (2022) Regularized Zero-Variance Control Variates, Bayesian Analysis
Denti F., Doimo D., Laio A., Mira A. (2022) The generalized ratios intrinsic dimension estimator, Nature Scientific Reports
Albert C., Ulzega S., Ozdemir F., Perez-Cruz F., Mira A. (2022) Learning Summary Statistics for Bayesian Inference with Autoencoders, SciPost Physics
Le T., Raynal L., Hambridge H., Drovandi C., Mira A., Mengersen K. (2022) Framework for assessing and easing global COVID-19 travel restrictions, Nature Scientific Report
Dutta R., Boudjeltia Z., Kotsalos C., Rousseau A., Ribeiro de Sousa D., Desmet J., Van Meerhaeghe A., Mira A., Chopard B. (2022) Personalized pathology test for Cardiovascular disease: Approximate Bayesian computation with discriminative summary statistics learning, PLOS Computational Biology
Santos-Fernandez E., Denti F., Mengersen K., Mira A. (2022) The role of intrinsic dimension in high-resolution player tracking data - Insights in basketball, The Annals of Applied Statistics
Raynal L., Chen S., Mira A., Onnela J. (2022) Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries, Bayesian Analysis
Buonaguidi B., Mira A., Bucheli H., Vitanis V. (2022) Bayesian quickest detection of credit card frau, Bayesian Analysis
Ghiringhelli C., Bartolucci F., Mira A., Arbia G. (2021) Modelling Nonstationary Spatial Lag Model with Hidden Markov Random Fields, Spatial Statistics
Denti F., Camerlenghi F., Mira A., Guindani M. (2021) A common atom model for the Bayesian nonparametric analysis of nested data, Journal of the American Statistical Association
Agresti A., Bartolucci F., Mira A. (2021) Refections on Murray Aitkin's contributions to nonparametric mixture models and Bayes factors, Statistical modelling
Mira A., Wit E. J. (2021) The Capstone in Everyone's Delivery Room: Placing "Practice" at the Center of Data Science Education, Harvard Data Science Review
Bartolucci F., Pennoni F., Mira A. (2021) COVID-19 count data with epidemiological interpretation and uncertainty quantification, Statistics in Medicine
Dutta R., Schoengens M., Pacchiardi L., Ummadisingu A., Widmer N., Onnela J., Mira A. (2021) ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation, Journal of Statistical Software
Ebert A., Mengersen K., Mira A., Ruggeri F., Wu P. (2021) Likelihood-free parameter estimation for dynamic queueing networks: case study of passenger flow in an international airport terminal, Journal of the Royal Statistical Society C
Donelli N., Mira A., Peluso S. (2021) A Bayesian Semiparametric Vector Multiplicative Error Model, Computational Statistics and Data Analysis
Allenspach S., Puphal P., Link J., Heinmaa I., Pomjakushina E., Krellner C., Lass J., Tucker J., Niedermayer C., Imajo S., Kohama Y., Kindo K., Horvati M., Jaime M., Madsen A., Mira A., Stern R., Weickert F. (2021) Revealing three-dimensional quantum criticality by Sr-substitution in Han Purple, Physics Review Research
Chen S., Mira A., Onnela J. (2020) Flexible Model Selection for Mechanistic Network Models, Journal of Complex Networks
Mira A., Barone Adesi G., Fusari N., Sala C. (2020) Option Market Trading Activity and the Estimation of the Pricing Kernel: a Bayesian Approach, Journal of Econometrics
Peluso S., Mira A., Rue H., Tierney N., Benvenuti C., Cianella R., Caputo M., Auricchio A. (2020) A Bayesian spatio-temporal statistical analysis of Out-of-Hospital Cardiac Arrests, Biometrical Journal
Bianchi F., Bartolucci F., Peluso S., Mira A. (2020) Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market, Journal of the Royal Statistical Society C
Varghese A., Drovandi C., Mengersen K., Mira A. (2020) Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation, PLoS Computational Biology
Bartolucci F., Pennoni F., Mira A. (2020) Univariate and multivariate statistical models for time series of count data with application to COVID-19, Statistica e Società
Auricchio A., Peluso S., Caputo M., Reinhold H. J., Benvenuti C., Burkart R., Cianella R., Klersy C., Baldi E., Mira A. (2020) Spatio-temporal prediction model of out-of-hospital cardiac arrest: designation of medical priorities and estimation of human resources requirement, PloS one
Allegra M., Facco E., Denti F., Laio A., Mira A. (2020) Data segmentation based on the local intrinsic dimension, Nature Scientific Reports
Warne D., Ebert A., Drovandi C., Mira A., Mengersen K. (2020) Hindsight is 2020 vision: Characterization of the global response to the COVID-19 pandemic, BMC Public Health
Arbia G., Ghiringhelli C., Mira A. (2019) Estimation of spatial econometric linear models with large datasets: How big can spatial Big Data be?, Regional Science and Urban Economics
Maire F., Friel N., Mira A., Raftery A. (2019) Adaptive Incremental Mixture Markov chain Monte Carlo, Journal of Computational and Graphical Statistics
Tierney N., Mira A., Reinhold H., Arbia G., Clifford S., Auricchio A., Moccetti T., Peluso S. (2019) Evaluating health facility access using Bayesian spatial models and location analysis methods, PLoS one
Lepori B., Geuna A., Mira A. (2019) Scientific output scales with resources. A comparison of US and European universities, PloS one
Auricchio A., Gianquintieri L., Caputo M., Burkart R., Benvenuti C., Muschietti S., Peluso S., Mira A., Mocetti S. (2019) Real-life time and distance covered by lay first responders alerted by means of smartphone application: implications for early initiation of cardiopulmonary resuscitation and access to automatic external defibrillators, Resuscitation
Peluso S., Mira A., Muliere P. (2019) Conditionally Gaussian Random Sequences for Robust Integrated Variance Estimation, Applied Stochastic Models in Business and Industry
Amati V., Lomi A., Mira A. (2018) Social Network Modelling, Annual Review of Statistics and its Applications
Mira A. (2018) Some optimal variance stopping problems revisited with an application to the Italian Ftse-Mib Stock Index, Sequential Analysis
Tierney N., Reinhold H. J., Mira A., Weiser M., Burkart R., Benvenuti C., Auricchio A. (2018) Novel relocation methods for automatic external defibrillator to improve out-of-hospital cardiac arrest coverage under limited resources, Resuscitation
Dutta R., Mira A., Onnela J. (2018) Bayesian inference of spreading processes on networks, Proc. Royal Society. A
Byshkin M., Slivala A., Robins G., Mira A., Lomi A. (2018) Fast Maximum Likelihood estimation via Equilibrium Expectation for large network data, Scientific Reports
Ranciati S., Crispino M., D.Angelo S., Mira A. (2018) Understanding dependency patterns in structural and functional brain connectivity through fMRI and DTI data, Proceedings in Mathematics & Statistics
Dutta R., Brotzakis Z. F., Mira A. (2018) Bayesian Calibration of Force-fields from Experimental Data: TIP4P Water, Journal of Chemical Physics
Bartolucci F., Bacci S., Mira A. (2018) On the role of latent variable models in the era of big data, Statistics and Probability Letters
Dutta R., Chopard B., Latt J., Dubois F., Boudjeltia K., Mira A. (2018) Parameter estimation of platelets deposition: Approximate Bayesian computation with high performance computing, Frontiers in Physiology, section Computational Physiology and Medicine
Peluso S., Chib S., Mira A. (2018) Semiparametric Multivariate and Multiple Change-Point Modeling, Bayesian Analysis
Peluso S., Mira A., Pietro M. (2017) Learning vs Earning Trade-Off with Missing or Censored Observations: the Two-Armed Bayesian Nonparametric Beta-Stacy Bandit Problem, Electronic Journal of Statistic
Mira A., Peluso S., Pietro M. (2017) Robust Identification of Highly Persistent Interest Rate Regimes, International Journal of Approximate Reasoning
Byshkin M., Mira A., Stivala A., Krause R., Robins G., Lomi A. (2016) Auxiliary Parameter Markov Chain Monte Carlo for Exponential Random Graph Models, Journal of Statistical Physics
Mira A., Friel N., Oates C. (2016) Exploiting Multi-Core Architectures for Reduced-Variance Estimation with Intractable Likelihoods, Bayesian Analysis
Peluso S., Mira A., Pietro M. (2015) Reinforced Urn Processes for Credit Risk Models, Journal of Econometrics, 184 (1)
Caimo A., Mira A. (2015) Efficient Computational Strategies for Doubly Intractable Problems with Applications to Bayesian Social Networks, Statistics and Computing
Mira A., Friel N., Chris O. (2015) Exploiting Multi-Core Architectures for Reduced-Variance Estimation with Intractable Likelihoods, Bayesian Analysis
Peluso S., Corsi F., Mira A. (2014) A Bayesian estimator of the multivariate covariance of noisy and synchronous returns, Journal of Financial Econometrics
Mira A., Papamarkou T., Girolami M. (2014) Zero Variance Differential Geometric MCMC Algorithms, Bayesian Analysis
Solgi R., Mira A. (2013) A Bayesian Semiparametric Multiplicative Error Model with an Application to Realized Volatility, Journal of Computational Statistics and Data Analysis
Mira A., Solgi R., Imparato D. (2012) Zero Variance Markov Chain Monte Carlo for Bayesian Estimators, Statistics and Computing, to appear
Rigat F., Mira A. (2012) Parallel hierarchical sampling: a practical general-purpose multiple-chains algorithm, Computational Statistics and Data Analysis, Vol. 56 pp. 1450-1467
Cornuet J. M., Marin J. M., Mira A., Robert C. (2012) Adaptive Multiple Importance Sampling, Scandinavian Journal of Statistics
Mira A., Rigat F. (2012) Parallel hierarchical sampling: a practical general-purpose multiple-chains algorithm, Computational Statistics & Data Analysis
Audrino F., Barone Adesi G., Mira A. (2005) The Stability of Factor Models of Interest Rates, Journal of Financial Econometrics 3, No. 3, 422-441
Tenconi P., Mira A. (2004) Bayesian estimate of credit risk via MCMC with delayed rejection, Stochastic Analysis, Random Fields and Applications

Working paper (2)

Tierney N., Mira A., Reinhold H. J., Weiser M., Burkart R., Benvenuti C., Auricchio A. (2017) Relocation of automatic external defibrillators: A novel optimization strategy to improve coverage of out-of-hospital cardiac arrest in a time of limited financial resources
Tenconi P., Mira A., Bressanini D. (2008) Zero Variance in Markov Chain Monte Carlo with an

Conference proceedings (5)

Raballo A., Mira A., Crestani F. (2023) Incremental Mixture of Normalizing Flows for Dynamic Topic Modelling. CEURWorkshopProceedings. 13th Italian Information Retrieval Workshop
Raffo D., Mira A. (2022) Optimization of Delayed Rejection Adaptive Metropolis. Pearson. Book of Short Papers Italian Statistical Society
Denti F., Mira A. (2022) A tool to validate the assumptions on ratios of nearest neighbor distances: the Consecutive Ratio Paths. Italian Statistical Society. Book of Short Papers Italian Statistical Society
Denti F., Camerlenghi F., Guindani M., Mira A. (2022) Clustering artists based on the energy distributions of their songs on Spotify via the Common Atoms Model. Pearson. Book of Short Papers Italian Statistical Society
Caimo A., Mira A. (2014) Delayed Rejection Algorithm to Estimate Bayesian Social Networks. Italian Statistical Society. 47th Scientific Meeting of the Italian Statistical Society

Article in conference proceedings (1)

Ravenda F., Bahrainian S. A., Kando N., Mira A., Raballo A., Crestani F. (2025) Tailoring Adaptive-Zero-Shot Retrieval and Probabilistic Modelling for Psychometric Data. SAC '25: 40th ACM/SIGAPP Symposium on Applied Computing. Catania International Airport Catania Italy