Antonietta Mira | Academic Influence

Antonietta Mira's AcademicInfluence.com Rankings

Antonietta Mira

Mathematics

#7446

World Rank

#10123

Historical Rank

Statistics

#957

World Rank

#1051

Historical Rank

Measure Theory

#3523

World Rank

#4157

Historical Rank

mathematics Degrees

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Mathematics

Antonietta Mira's Degrees

PhD Statistics University of Pavia
Masters Statistics University of Pavia
Bachelors Mathematics University of Pavia

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Why Is Antonietta Mira Influential?

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According to Wikipedia, Antonietta Mira is an Italian computational statistician whose research involves the application of Markov chain Monte Carlo methods to Bayesian inference. She is a professor of statistics in the Faculty of Economics and Institute of Computational Science at the Università della Svizzera italiana in Lugano, Switzerland, and professor of statistics in the University of Insubria in Italy.

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Antonietta Mira's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

DRAM: Efficient adaptive MCMC (2006) (1314)
Some adaptive monte carlo methods for Bayesian inference. (1999) (293)
Delayed rejection in reversible jump Metropolis–Hastings (2001) (286)
Adaptive Multiple Importance Sampling (2009) (241)
On Metropolis-Hastings algorithms with delayed rejection (2001) (188)
Ordering and Improving the Performance of Monte Carlo Markov Chains (2001) (116)
Perfect slice samplers (2001) (82)
Efficiency and Convergence Properties of Slice Samplers (2002) (82)
Zero variance Markov chain Monte Carlo for Bayesian estimators (2010) (79)
Efficient Bayes factor estimation from the reversible jump output (2006) (59)
Distribution-free test for symmetry based on Bonferroni's measure (1999) (47)
Ordering Monte Carlo Markov Chains (1999) (45)
Bayesian hierarchical nonparametric inference for change-point problems (1996) (40)
Bridge estimation of the probability density at a point (2001) (40)
On the use of auxiliary variables in Markov chain Monte Carlo sampling (1997) (40)
Zero Variance Differential Geometric Markov Chain Monte Carlo Algorithms (2014) (38)
Social Network Modeling (2018) (38)
ABCpy: A User-Friendly, Extensible, and Parallel Library for Approximate Bayesian Computation (2017) (28)
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. (2019) (27)
Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks (2014) (26)
Exploiting Multi-Core Architectures for Reduced-Variance Estimation with Intractable Likelihoods (2014) (25)
Novel relocation methods for automatic external defibrillator improve out-of-hospital cardiac arrest coverage under limited resources. (2018) (24)
A Bayesian High-Frequency Estimator of the Multivariate Covariance of Noisy and Asynchronous Returns (2014) (24)
Scientific output scales with resources. A comparison of US and European universities (2019) (24)
Ordering, Slicing And Splitting Monte Carlo Markov Chains (1998) (23)
Regularised Zero-Variance Control Variates for High-Dimensional Variance Reduction (2018) (22)
Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data (2018) (22)
The Stability of Factor Models of Interest Rates (2005) (22)
AN EXTENSION OF PESKUN AND TIERNEY ORDERINGS TO CONTINUOUS TIME MARKOV CHAINS (2008) (21)
Parallel hierarchical sampling: A general-purpose interacting Markov chains Monte Carlo algorithm (2012) (21)
Bayesian inference of spreading processes on networks (2017) (21)
ABCpy: A High-Performance Computing Perspective to Approximate Bayesian Computation (2017) (20)
Hindsight is 2020 vision: a characterisation of the global response to the COVID-19 pandemic (2020) (17)
Auxiliary Parameter MCMC for Exponential Random Graph Models (2016) (17)
Estimation of spatial econometric linear models with large datasets: How big can spatial Big Data be? (2019) (16)
Bayesian calibration of force-fields from experimental data: TIP4P water. (2018) (14)
Data segmentation based on the local intrinsic dimension (2019) (14)
Flexible model selection for mechanistic network models (2018) (13)
A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data (2020) (13)
Semiparametric Multivariate and Multiple Change-Point Modeling (2019) (13)
Covariance Ordering for discrete and continuous time Markov Chains (2009) (12)
A new strategy for speeding Markov chain Monte Carlo algorithms (2003) (12)
Parameter Estimation of Platelets Deposition: Approximate Bayesian Computation With High Performance Computing (2017) (12)
An introduction to the special issue “Joint IMS-ISBA meeting - MCMSki 4” (2015) (10)
Convergence and Mixing in Markov Chain Monte Carlo: Advanced Algorithms and Latest Developments (2015) (10)
Option market trading activity and the estimation of the pricing kernel: A Bayesian approach (2020) (10)
Reinforced urn processes for credit risk models (2015) (10)
MCMC Methods to Estimate Bayesian Parametric Models (2005) (10)
Challenges and Advances in High Dimensional and High Complexity Monte Carlo Computation and Theory (2012) (9)
Evaluating health facility access using Bayesian spatial models and location analysis methods (2019) (9)
Delayed rejection variational Monte Carlo. (2004) (8)
Likelihood‐free parameter estimation for dynamic queueing networks: Case study of passenger flow in an international airport terminal (2018) (7)
Highly Structured Stochastic Systems. Peter J. Green, Nils Lid Hjort, and Sylvia Richardson (2005) (7)
Adaptive Incremental Mixture Markov Chain Monte Carlo (2016) (7)
Efficiency of finite state space Monte Carlo Markov chains (2001) (7)
Regularized Zero-Variance Control Variates (2018) (6)
On the role of latent variable models in the era of big data (2018) (6)
Answering Two Biological Questions with a Latent Class Model via MCMC Applied to Capture-Recapture Data (2004) (6)
Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market (2020) (6)
A multivariate statistical approach to predict COVID‐19 count data with epidemiological interpretation and uncertainty quantification (2021) (6)
Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation (2019) (6)
The Impact of Misalignment of Beliefs on the Estimation of the Pricing Kernel (2017) (5)
A Bayesian spatiotemporal statistical analysis of out‐of‐hospital cardiac arrests (2020) (5)
A Bayesian Semiparametric Multiplicative Error Model With an Application to Realized Volatility (2013) (5)
Flexible Model Selection for Mechanistic Network Models via Super Learner (2018) (5)
Corrigendum: Perfect slice samplers (2002) (4)
Discussion of ”Riemann manifold Langevin and Hamiltonian Monte Carlo methods” by M. Girolami and B. Calderhead (2011) (4)
Distributional Results for Model-Based Intrinsic Dimension Estimators (2021) (4)
International Trade: a Reinforced Urn Network Model (2016) (4)
Clustering by the local intrinsic dimension: the hidden structure of real-world data (2019) (4)
Framework for assessing and easing global COVID-19 travel restrictions (2022) (4)
The role of intrinsic dimension in high-resolution player tracking data—Insights in basketball (2020) (4)
Parallel hierarchical sampling : a general-purpose class of multiple-chains MCMC algorithms (2009) (4)
A R Adaptive Multiple Importance Sampling (ARAMIS) (2013) (4)
Bayesian Quickest Detection of Credit Card Fraud (2021) (4)
Some optimal variance stopping problems revisited with an application to the Italian Ftse-Mib stock index (2018) (3)
Non-inferiority randomized trials, an issue between science and ethics: The case of the SYNTAX study (2010) (3)
Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks (2018) (3)
Modelling Nonstationary Spatial Lag Models with Hidden Markov Random Fields (2021) (3)
Monte Carlo methods and zero variance principle (2015) (2)
Option-Implied State Prices and Misspecified Stochastic Discount Factors (2017) (2)
The generalized ratios intrinsic dimension estimator (2022) (2)
Scientific Output of US and European Universities Scales Super-linearly with Resources (2018) (2)
Revealing three-dimensional quantum criticality by Sr substitution in Han purple (2021) (2)
Stationarity preserving and efficiency increasing probability mass transfers made possible (2006) (2)
Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement (2020) (2)
Robust identification of highly persistent interest rate regimes (2017) (2)
Markov Chain Monte Carlo, Convergence and Mixing in (2014) (1)
Comment on Article by Schmidl et al. (2013) (1)
Conditionally Gaussian random sequences for an integrated variance estimator with correlation between noise and returns (2019) (1)
Discussion of 'slice sampling' by Radford M. Neal. (2003) (1)
Spatial-temporal heterogeneity of out-of-hospital cardiac arrest incidence in Swiss Canton Ticino (2019) (1)
On the intrinsic dimensionality of Covid-19 data: a global perspective (preprint) (2022) (1)
Scalable Approximate Bayesian Computation for Growing Network Models via Extrapolated and Sampled Summaries. (2020) (1)
A Bayesian semiparametric vector Multiplicative Error Model (2021) (1)
Discussion of the paper: “Sampling schemes for generalized linear Dirichlet process random effects models” by M. Kyung, J. Gill, and G. Casella (2011) (1)
Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning (2020) (1)
Bayesian Estimate of Default Probabilities via MCMC with Delayed Rejection (2004) (1)
Policies for Easing COVID-19 Pandemic Travel Restrictions (2021) (1)
Efficient computational strategies for Bayesian social networks (2014) (1)
Learning vs earning trade-off with missing or censored observations: The two-armed Bayesian nonparametric beta-Stacy bandit problem (2017) (1)
A Bayesian latent allocation model for clustering compositional data with application to the Great Barrier Reef (2021) (0)
Option market trading activity and the estimation of the pricing kernel A Bayesian approach (2017) (0)
On the use of auxiliary variables inMarkov chain (2007) (0)
Learning Summary Statistics for Bayesian Inference with Autoencoders (2022) (0)
Recursive Estimation of the Spatial Error Model (2022) (0)
Understanding Dependency Patterns in Structural and Functional Brain Connectivity Through fMRI and DTI Data (2017) (0)
Big data for health: a Bayesian spatio-temporal analysis for predicting cardiac risk in Ticino and optimal defibrillators positioning (2018) (0)
Delayed Rejection Algorithm to Estimate Bayesian Social Networks (2014) (0)
Bayesian dimensionality reduction via identifications of data intrinsic dimensions (2019) (0)
P2768Relocation of automatic external defibrillator: A novel optimization strategy to improve coverage of out of hospital cardiac arrest in a time of limited financial resources (2017) (0)
Discussion (2001) (0)
Conditionally Gaussian Random Sequences for Robust Integrated Variance Estimation (2014) (0)
Bayesian Inference of Network Epidemics (2017) (0)
Ju n 20 19 Flexible model selection for mechanistic network models (2019) (0)
A Bayesian Estimate of the Pricing Kernel (2017) (0)
Bayesian latent class models with application to credit-scoring and capture-recapture data (2003) (0)
Interpretable pathological test for Cardio-vascular disease: Approximate Bayesian computation with distance learning (2020) (0)
C O ] 7 S ep 2 01 8 ABCpy : A High-Performance Computing Perspective to Approximate Bayesian Computation ∗ (2018) (0)
Reflections on Murray Aitkin's contributions to nonparametric mixture models and Bayes factors (2021) (0)
An extension of Peskun ordering to continous time Markov chains 2006 / 10 (2006) (0)
Bayesian inferen e for Latent Class model via MCMCwith appli ation to apture-re apture data April 17 , 2003 (2003) (0)
Introduction to the special issue on Bayesian Nonparametrics (2017) (0)
Highly Structured Stochastic Systems (2005) (0)
An investigation in the delayed rejection strategy in the capture-recapture context (2003) (0)
Density estimators through Zero Variance Markov Chain Monte Carlo (2011) (0)
Perfect simple slice samplers (2001) (0)
On the mathematical axiomatization of approximate Bayesian computation. A robust set for estimating mechanistic network models through optimal transport (2021) (0)
Control Variates for Constrained Variables (2022) (0)
The Keys of Predictability: A Comprehensive Study (2019) (0)
Model Parameter Estimation (2019) (0)
Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data (2018) (0)
An introduction to the special issue “Joint IMS-ISBA meeting - MCMSki 4” (2014) (0)
Efficient computational strategies for doubly intractable problems with applications to Bayesian social networks (2014) (0)
An application of Reinforced Urn Process to advice network data (2016) (0)
The Capstone in Everyone’s Delivery Room: Placing ‘Practice’ at the Center of Data Science Education (2021) (0)
Zero variance Markov chain Monte Carlo for Bayesian estimators (2012) (0)
Multiple hypothesis screening using mixtures of non-local distributions with applications to genomic studies. (2022) (0)
Convergence and Mixing in Markov Chain Monte Carlo (2008) (0)
Beta-Stacy Bandit Problems with Censored Data (2016) (0)
Temporal analysis of hospital network data by hierarchical Bayesian p2 models with covariates (2023) (0)
A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy (2022) (0)
Auxiliary Parameter MCMC for Exponential Random Graph Models (2016) (0)

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