MIRA, ANTONIETTA
MIRA, ANTONIETTA
DIPARTIMENTO DI SCIENZA E ALTA TECNOLOGIA
A Bayesian high-frequency estimator of the multivariate covariance of noisy and asynchronous returns
2015-01-01 Peluso, Stefano; Corsi, Fulvio; Mira, Antonietta
A Bayesian Semiparametric Multiplicative Error Model with an Application to Realized Volatility
2013-01-01 R., Solgi; Mira, Antonietta
A Bayesian semiparametric vector Multiplicative Error Model
2021-01-01 Donelli, N.; Peluso, S.; Mira, A.
A Bayesian spatio-temporal statistical analysis of Out-of-Hospital Cardiac Arrests
2020-01-01 Peluso, Stefano; Mira, Antonietta; Rue, Havard; Tierney, Nicholas; Benvenuti, Claudio; Cianella, Roberto; Luce Caputo, Maria; Auricchio, Angelo
A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data
2023-01-01 Denti, Francesco; Camerlenghi, Federico; Guindani, Michele; Mira, Antonietta
A global perspective on the intrinsic dimensionality of COVID-19 data
2023-01-01 Varghese, Abhishek; Santos-Fernandez, Edgar; Denti, Francesco; Mira, Antonietta; Mengersen, Kerrie
A multivariate statistical approach to predict COVID-19 count data with epidemiological interpretation and uncertainty quantification
2021-01-01 Bartolucci, F.; Pennoni, F.; Mira, A.
A new strategy for speeding Markov chain Monte Carlo algorithms
2003-01-01 Mira, Antonietta; Sargent, D.
A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy
2023-01-01 Andreella, A.; Mira, A.; Balafas, S.; Wit, E. -J. C.; Ruggeri, F.; Nattino, G.; Ghilardi, G.; Bertolini, G.
A probabilistic spatio-temporal neural network to forecast COVID-19 counts
2024-01-01 Ravenda, Federico; Cesarini, Mirko; Peluso, Stefano; Mira, Antonietta
A self-supervised seed-driven approach to topic modelling and clustering
2024-01-01 Ravenda, Federico; Bahrainian, Seyed Ali; Raballo, Andrea; Mira, Antonietta; Crestani, Fabio
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation
2021-01-01 Dutta, Ritabrata; Schoengens, Marcel; Pacchiardi, Lorenzo; Ummadisingu, Avinash; Widmer, Nicole; Künzli, Pierre; Onnela, Jukka-Pekka; Mira, Antonietta
ABCpy: A user-friendly, extensible, and parallel library for approximate Bayesian computation
2017-01-01 Dutta, Ritabrata; Schoengens, Marcel; Onnela, Jukka-Pekka; Mira, Antonietta
Adaptive Incremental Mixture Markov Chain Monte Carlo
2019-01-01 Maire, Florian; Friel, Nial; Mira, Antonietta; E Raftery, Adrian
Adaptive Multiple Importance Sampling
2012-01-01 Jean Marie, Cornuet; Jean Michel, Marin; Mira, Antonietta; Christian, Robert
An extension of Peskun and Tierney orderings to continuous time Markov chains
2008-01-01 Leisen, Fabrizio; Mira, Antonietta
An investigation on the delayed rejection strategy in the capture-recapture context
2003-01-01 F., Bartolucci; Mira, Antonietta; L., Scaccia
Analisi dei Dati, raccolta di esercizi tratti da esami con soluzioni ragionate
2002-01-01 Mira, Antonietta
Answering two biological questions with a latent class model via MCMC applied to capture-recapture data
2003-01-01 Bartolucci, F.; Mira, Antonietta; Scaccia, L.
Approximating Max-Sum-Product Problems using Multiplicative Error Bounds
2012-01-01 Meek, C.; Wexler, Y.; Mira, A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Bayesian high-frequency estimator of the multivariate covariance of noisy and asynchronous returns | 1-gen-2015 | Peluso, Stefano; Corsi, Fulvio; Mira, Antonietta | |
| A Bayesian Semiparametric Multiplicative Error Model with an Application to Realized Volatility | 1-gen-2013 | R., Solgi; Mira, Antonietta | |
| A Bayesian semiparametric vector Multiplicative Error Model | 1-gen-2021 | Donelli, N.; Peluso, S.; Mira, A. | |
| A Bayesian spatio-temporal statistical analysis of Out-of-Hospital Cardiac Arrests | 1-gen-2020 | Peluso, Stefano; Mira, Antonietta; Rue, Havard; Tierney, Nicholas; Benvenuti, Claudio; Cianella, Roberto; Luce Caputo, Maria; Auricchio, Angelo | |
| A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data | 1-gen-2023 | Denti, Francesco; Camerlenghi, Federico; Guindani, Michele; Mira, Antonietta | |
| A global perspective on the intrinsic dimensionality of COVID-19 data | 1-gen-2023 | Varghese, Abhishek; Santos-Fernandez, Edgar; Denti, Francesco; Mira, Antonietta; Mengersen, Kerrie | |
| A multivariate statistical approach to predict COVID-19 count data with epidemiological interpretation and uncertainty quantification | 1-gen-2021 | Bartolucci, F.; Pennoni, F.; Mira, A. | |
| A new strategy for speeding Markov chain Monte Carlo algorithms | 1-gen-2003 | Mira, Antonietta; Sargent, D. | |
| A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy | 1-gen-2023 | Andreella, A.; Mira, A.; Balafas, S.; Wit, E. -J. C.; Ruggeri, F.; Nattino, G.; Ghilardi, G.; Bertolini, G. | |
| A probabilistic spatio-temporal neural network to forecast COVID-19 counts | 1-gen-2024 | Ravenda, Federico; Cesarini, Mirko; Peluso, Stefano; Mira, Antonietta | |
| A self-supervised seed-driven approach to topic modelling and clustering | 1-gen-2024 | Ravenda, Federico; Bahrainian, Seyed Ali; Raballo, Andrea; Mira, Antonietta; Crestani, Fabio | |
| ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation | 1-gen-2021 | Dutta, Ritabrata; Schoengens, Marcel; Pacchiardi, Lorenzo; Ummadisingu, Avinash; Widmer, Nicole; Künzli, Pierre; Onnela, Jukka-Pekka; Mira, Antonietta | |
| ABCpy: A user-friendly, extensible, and parallel library for approximate Bayesian computation | 1-gen-2017 | Dutta, Ritabrata; Schoengens, Marcel; Onnela, Jukka-Pekka; Mira, Antonietta | |
| Adaptive Incremental Mixture Markov Chain Monte Carlo | 1-gen-2019 | Maire, Florian; Friel, Nial; Mira, Antonietta; E Raftery, Adrian | |
| Adaptive Multiple Importance Sampling | 1-gen-2012 | Jean Marie, Cornuet; Jean Michel, Marin; Mira, Antonietta; Christian, Robert | |
| An extension of Peskun and Tierney orderings to continuous time Markov chains | 1-gen-2008 | Leisen, Fabrizio; Mira, Antonietta | |
| An investigation on the delayed rejection strategy in the capture-recapture context | 1-gen-2003 | F., Bartolucci; Mira, Antonietta; L., Scaccia | |
| Analisi dei Dati, raccolta di esercizi tratti da esami con soluzioni ragionate | 1-gen-2002 | Mira, Antonietta | |
| Answering two biological questions with a latent class model via MCMC applied to capture-recapture data | 1-gen-2003 | Bartolucci, F.; Mira, Antonietta; Scaccia, L. | |
| Approximating Max-Sum-Product Problems using Multiplicative Error Bounds | 1-gen-2012 | Meek, C.; Wexler, Y.; Mira, A. |