Antonietta Mira
http://usi.to/exz
Pubblicazioni
Articolo pubblicato in rivista scientifica (66)
- Andreella A., . Balafas S., Mira A., Wit E. J., Ruggeri F., Nattino G., Ghilardi G., Bertolini G. (in uscita) A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy, Statistical Methods and Applications-10
- 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:9761-9767
- 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:104418-104425
- Mira A., Denti F., Peluso S. (2023) Multiple hypothesis screening using mixtures of non‐local distributions with applications to genomic studies, Statistics in Medicine:1931-1945
- 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-10
- Ghiringhelli C., Piras G., Arbia G., Mira A. (2023) Recursive Estimation of the Spatial Error Model, Geographical analysis:90-106
- 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:422-440
- Buonaguidi B., Mira A., Bucheli H., Vitanis V. (2022) Bayesian quickest detection of credit card frau, Bayesian Analysis:261-290
- Maskell S., Zhou Y., Mira A. (2022) Control Variates for Constrained Variables, IEEE Signal Processing Letters:2333-2337
- 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:1-25
- Albert C., Ulzega S., Ozdemir F., Perez-Cruz F., Mira A. (2022) Learning Summary Statistics for Bayesian Inference with Autoencoders, SciPost Physics:043-055
- 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:e1009910-e1009925
- South L., Drovand C., Oates C., Mira A. (2022) Regularized Zero-Variance Control Variates, Bayesian Analysis:1-24
- Raynal L., Chen S., Mira A., Onnela J. (2022) Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries, Bayesian Analysis:165-192
- Denti F., Doimo D., Laio A., Mira A. (2022) The generalized ratios intrinsic dimension estimator, Nature Scientific Reports:20005-20015
- 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:326-348
- Donelli N., Mira A., Peluso S. (2021) A Bayesian Semiparametric Vector Multiplicative Error Model, Computational Statistics and Data Analysis:107242-107242
- 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:1-12
- 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:1-38
- Bartolucci F., Pennoni F., Mira A. (2021) COVID-19 count data with epidemiological interpretation and uncertainty quantification, Statistics in Medicine:5351-5372
- 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:770-792
- Ghiringhelli C., Bartolucci F., Mira A., Arbia G. (2021) Modelling Nonstationary Spatial Lag Model with Hidden Markov Random Fields, Spatial Statistics:100522-100530
- Agresti A., Bartolucci F., Mira A. (2021) Refections on Murray Aitkin's contributions to nonparametric mixture models and Bayes factors, Statistical modelling:1471082X20981312-1471082X20981312
- 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:023177-023177
- 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
- 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:1105-1119
- Allegra M., Facco E., Denti F., Laio A., Mira A. (2020) Data segmentation based on the local intrinsic dimension, Nature Scientific Reports:16449-16449
- 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:e1007878-e1007878
- Chen S., Mira A., Onnela J. (2020) Flexible Model Selection for Mechanistic Network Models, Journal of Complex Networks:cnz024-cnz024
- 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:1868-1880
- 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:711-739
- 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:430-449
- 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:e0238067-e0238067
- 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:1-2
- Maire F., Friel N., Mira A., Raftery A. (2019) Adaptive Incremental Mixture Markov chain Monte Carlo, Journal of Computational and Graphical Statistics:10-20
- Peluso S., Mira A., Muliere P. (2019) Conditionally Gaussian Random Sequences for Robust Integrated Variance Estimation, Applied Stochastic Models in Business and Industry:1282-1297
- 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:67-73
- 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:e0218310-e0218310
- 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:182-187
- Lepori B., Geuna A., Mira A. (2019) Scientific output scales with resources. A comparison of US and European universities, PloS one:e0223415-e0223415
- Dutta R., Brotzakis Z. F., Mira A. (2018) Bayesian Calibration of Force-fields from Experimental Data: TIP4P Water, Journal of Chemical Physics:154110-154120
- Dutta R., Mira A., Onnela J. (2018) Bayesian inference of spreading processes on networks, Proc. Royal Society. A:20180129-20180129
- Byshkin M., Slivala A., Robins G., Mira A., Lomi A. (2018) Fast Maximum Likelihood estimation via Equilibrium Expectation for large network data, Scientific Reports:1150-1160
- 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:83-89
- Bartolucci F., Bacci S., Mira A. (2018) On the role of latent variable models in the era of big data, Statistics and Probability Letters:165-169
- 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:1128-1138
- Peluso S., Chib S., Mira A. (2018) Semiparametric Multivariate and Multiple Change-Point Modeling, Bayesian Analysis:10-20
- Amati V., Lomi A., Mira A. (2018) Social Network Modelling, Annual Review of Statistics and its Applications:343-369
- Mira A. (2018) Some optimal variance stopping problems revisited with an application to the Italian Ftse-Mib Stock Index, Sequential Analysis:90-101
- 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:1-22
- Peluso S., Mira A., Muliere P. (2017) Learning vs Earning Trade-Off with Missing or Censored Observations: the Two-Armed Bayesian Nonparametric Beta-Stacy Bandit Problem, Electronic Journal of Statistic:3368-3406
- Mira A., Peluso S., Muliere P. (2017) Robust Identification of Highly Persistent Interest Rate Regimes, International Journal of Approximate Reasoning:102-117
- 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:740-754
- Mira A., Friel N., Oates C. (2016) Exploiting Multi-Core Architectures for Reduced-Variance Estimation with Intractable Likelihoods, Bayesian Analysis:215-245
- Caimo A., Mira A. (2015) Efficient Computational Strategies for Doubly Intractable Problems with Applications to Bayesian Social Networks, Statistics and Computing:113-125
- Mira A., Friel N., Chris O. (2015) Exploiting Multi-Core Architectures for Reduced-Variance Estimation with Intractable Likelihoods, Bayesian Analysis:to appear-to appear
- Peluso S., Mira A., Muliere P. (2015) Reinforced Urn Processes for Credit Risk Models, Journal of Econometrics, 184 (1):1-12
- 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:97-128
- Solgi R., Mira A. (2013) A Bayesian Semiparametric Multiplicative Error Model with an Application to Realized Volatility, Journal of Computational Statistics and Data Analysis:558-583
- Cornuet J. M., Marin J. M., Mira A., Robert C. (2012) Adaptive Multiple Importance Sampling, Scandinavian Journal of Statistics
- 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
- Mira A., Rigat F. (2012) Parallel hierarchical sampling: a practical general-purpose multiple-chains algorithm, Computational Statistics & Data Analysis:1450-1467
- Mira A., Solgi R., Imparato D. (2012) Zero Variance Markov Chain Monte Carlo for Bayesian Estimators, Statistics and Computing, to appear
- 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:277-291
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
Atti di conferenza (7)
- Denti F., Mira A. (2023) A tool for assessing weak identifiability of statistical models. Pearson. Book of Short Papers Italian Statistical Society
- Denti F., Mira A. (2023) Bayesian nonparametric estimation of heterogeneous intrinsic dimension via product partition models. Pearson. Book of Short Papers Italian Statistical Society
- Raballo A., Mira A., Crestani F. (2023) Incremental Mixture of Normalizing Flows for Dynamic Topic Modelling. CEURWorkshopProceedings. 13th Italian Information Retrieval Workshop
- 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
- Raffo D., Mira A. (2022) Optimization of Delayed Rejection Adaptive Metropolis. 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
