Antonietta Mira

About Antonietta Mira

Antonietta Mira, With an exceptional h-index of 30 and a recent h-index of 20 (since 2020), a distinguished researcher at Università della Svizzera Italiana, specializes in the field of computational statistics, Markov chain Monte Carlo methods.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning Catchment Features with Autoencoders

Learning Landscape Features from Streamflow with Autoencoders

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 …

A probabilistic spatio-temporal neural network to forecast COVID-19 counts

Bayesian nonparametric estimation of heterogeneous intrinsic dimension via product partition models

Multiple hypothesis screening using mixtures of non‐local distributions with applications to genomic studies

A Bayesian Change-Point Analysis of Vector Autoregressive Processes

Gaussian Variational Approximations for High-dimensional State Space Models......................................... M. Quiroz, DJ Nott, and R. Kohn 989 Post-Processed …

Antonietta Mira Information

University

Position

Professore di Statistica

Citations(all)

5057

Citations(since 2020)

2270

Cited By

3901

hIndex(all)

30

hIndex(since 2020)

20

i10Index(all)

61

i10Index(since 2020)

44

Email

University Profile Page

Google Scholar

Antonietta Mira Skills & Research Interests

computational statistics

Markov chain Monte Carlo methods

Top articles of Antonietta Mira

Title

Journal

Author(s)

Publication Date

Learning Catchment Features with Autoencoders

Alberto Bassi

Antonietta Mira

Marvin Höge

Fabrizio Fenicia

Carlo Albert

2024/3/7

Learning Landscape Features from Streamflow with Autoencoders

Hydrology and Earth System Sciences Discussions

Alberto Bassi

Marvin Höge

Antonietta Mira

Fabrizio Fenicia

Carlo Albert

2024/2/20

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 …

BMJ open

Marco Paganuzzi

Giovanni Nattino

Giulia Irene Ghilardi

Giorgio Costantino

Carlotta Rossi

...

2024/2/1

A probabilistic spatio-temporal neural network to forecast COVID-19 counts

International Journal of Data Science and Analytics

Federico Ravenda

Mirko Cesarini

Stefano Peluso

Antonietta Mira

2024/3/21

Bayesian nonparametric estimation of heterogeneous intrinsic dimension via product partition models

Francesco Denti

A Di Noia

A Mira

2023

Multiple hypothesis screening using mixtures of non‐local distributions with applications to genomic studies

Statistics in Medicine

Francesco Denti

Stefano Peluso

Michele Guindani

Antonietta Mira

2023/5/30

A Bayesian Change-Point Analysis of Vector Autoregressive Processes

Siddhartha Chib

Antonietta Mira

Stefano Peluso

2023/9

Gaussian Variational Approximations for High-dimensional State Space Models......................................... M. Quiroz, DJ Nott, and R. Kohn 989 Post-Processed …

Bayesian Analysis

AA Manderson

RJB Goudie

LF South

CJ Oates

A Mira

...

2023

Radiomics and machine learning applied to STIR sequence for prediction of quantitative parameters in facioscapulohumeral disease

Frontiers in neurology

Giulia Colelli

Leonardo Barzaghi

Matteo Paoletti

Mauro Monforte

Niels Bergsland

...

2023/2/24

Bayesian Poisson Regression and Tensor Train Decomposition Model for Learning Mortality Pattern Changes during COVID-19 Pandemic

arXiv preprint arXiv:2307.05649

Wei Zhang

Antonietta Mira

Ernst C Wit

2023/7/11

Recursive estimation of the spatial error model

Geographical Analysis

Chiara Ghiringhelli

Gianfranco Piras

Giuseppe Arbia

Antonietta Mira

2023/1

A common atoms model for the Bayesian nonparametric analysis of nested data

Journal of the American Statistical Association

Francesco Denti

Federico Camerlenghi

Michele Guindani

Antonietta Mira

2023/1/2

Temporal analysis of hospital network data by hierarchical Bayesian models with covariates

Journal of the Royal Statistical Society Series A: Statistics in Society

Francesco Bartolucci

Paolo Li Donni

Antonietta Mira

2023/7

When nonresponse makes estimates from a census a small area estimation problem: The case of the survey on graduates’ employment status in Italy

G Ranalli

Fulvia Pennoni

Francesco Bartolucci

Antonietta Mira

2023

A global perspective on the intrinsic dimensionality of COVID-19 data

Scientific Reports

Abhishek Varghese

Edgar Santos-Fernandez

Francesco Denti

Antonietta Mira

Kerrie Mengersen

2023/6/16

A Spatio-Temporal Probabilistic Neural Network to Forecast COVID-19 Counts

Federico Ravenda

Mirko Cesarini

Stefano Peluso

Antonietta Mira

2023/11/1

A tool for assessing weak identifiability of statistical models

A Di Noia

Francesco Denti

A Mira

2023

Incremental mixture of normalizing flows for dynamic topic modelling

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023). Pisa, Italy

Federico Ravenda

Andrea Raballo

Antonietta Mira

Fabio Crestani

2023/6/8

A predictive model for planning emergency events rescue during COVID-19 in Lombardy, Italy

Statistical Methods & Applications

Angela Andreella

Antonietta Mira

Spyros Balafas

Ernst-Jan C Wit

Fabrizio Ruggeri

...

2023/10/16

On the intrinsic dimensionality of Covid-19 data: a global perspective

arXiv preprint arXiv:2203.04165

Abhishek Varghese

Edgar Santos-Fernandez

Francesco Denti

Antonietta Mira

Kerrie Mengersen

2022/3/8

See List of Professors in Antonietta Mira University(Università della Svizzera Italiana)

Co-Authors

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