Suchergebnisse - "Mira, Antonietta"

Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks.

Autoren: Bartolucci, Francesco Mira, Antonietta Peluso, Stefano

Quelle: Advances in Data Analysis & Classification; Dec2025, Vol. 19 Issue 4, p895-920, 26p

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

Autoren: Ravenda, Federico Cesarini, Mirko Peluso, Stefano et al.

Quelle: International Journal of Data Science & Analytics; Aug2025, Vol. 20 Issue 2, p1255-1262, 8p

Transforming social media text into predictive tools for depression through AI: A test-case study on the Beck Depression Inventory-II.

Autoren: Ravenda, Federico Preti, Antonio Poletti, Michele et al.

Quelle: PLoS Digital Health; 6/5/2025, Vol. 4 Issue 6, p1-18, 18p

Rethinking psychometrics through LLMs: how item semantics shape measurement and prediction in psychological questionnaires.

Autoren: Ravenda, Federico Preti, Antonio Poletti, Michele et al.

Quelle: Scientific Reports; 10/24/2025, Vol. 15 Issue 1, p1-12, 12p

Schlagwörter: PSYCHOMETRICS, QUESTIONNAIRES, MEASUREMENT, LINGUISTIC context, SEMANTICS, LANGUAGE models, FIVE-factor model of personality

A self-supervised seed-driven approach to topic modelling and clustering.

Autoren: Ravenda, Federico Bahrainian, Seyed Ali Raballo, Andrea et al.

Quelle: Journal of Intelligent Information Systems; Feb2025, Vol. 63 Issue 1, p333-353, 21p

Schlagwörter: COLLECTIONS, VOCABULARY, MEASUREMENT, DOCUMENT clustering

Learning Landscape Features from Streamflow with Autoencoders.

Autoren: Bassi, Alberto Höge, Marvin Mira, Antonietta et al.

Quelle: Hydrology & Earth System Sciences Discussions; 2/20/2024, p1-30, 30p

Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic.

Autoren: Zhang, Wei Mira, Antonietta Wit, Ernst C.

Quelle: Journal of Applied Statistics; Apr2025, Vol. 52 Issue 5, p1017-1039, 23p

Schlagwörter: COVID-19 pandemic, POISSON regression, CAUSES of death, DEATH rate, BAYESIAN field theory

When non-response makes estimates from a census a small area estimation problem: the case of the survey on graduates' employment status in Italy.

Autoren: Ranalli, Maria Giovanna Pennoni, Fulvia Bartolucci, Francesco et al.

Quelle: Advances in Data Analysis & Classification; Jun2025, Vol. 19 Issue 2, p515-543, 29p

Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning.

Autoren: Dutta, Ritabrata Zouaoui Boudjeltia, Karim Kotsalos, Christos et al.

Quelle: PLoS Computational Biology; 3/10/2022, Vol. 18 Issue 3, p1-20, 20p, 4 Diagrams, 3 Charts, 4 Graphs

Schlagwörter: CHRONIC obstructive pulmonary disease, BLOOD platelets, STATISTICAL learning, CEREBROVASCULAR disease, BLOOD platelet activation, PATHOLOGY

Investigating the price determinants of the European Emission Trading System: a non-parametric approach.

Autoren: Salvagnin, Cristiano Glielmo, Aldo De Giuli, Maria Elena et al.

Quelle: Quantitative Finance; Oct2024, Vol. 24 Issue 10, p1529-1544, 16p

Schlagwörter: COVID-19 pandemic, KRIGING, ENERGY consumption, PRICES, MARKET prices

Bayesian clustering of spatially distributed compositional data with application to the Great Barrier Reef.

Autoren: Piancastelli, Luiza Friel, Nial Vercelloni, Julie et al.

Quelle: Scientific Reports; 9/30/2024, Vol. 14 Issue 1, p1-14, 14p

Intrinsic dimension as a multi-scale summary statistics in network modeling.

Autoren: Macocco, Iuri Mira, Antonietta Laio, Alessandro

Quelle: Scientific Reports; 8/1/2024, Vol. 14 Issue 1, p1-13, 13p

Schlagwörter: MATHEMATICAL models, DIAMETER, STATISTICS

Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation.

Autoren: Varghese, Abhishek Drovandi, Christopher Mira, Antonietta et al.

Quelle: PLoS Computational Biology; 5/18/2020, Vol. 16 Issue 5, p1-23, 23p, 1 Color Photograph, 2 Charts, 11 Graphs

Schlagwörter: MONTE Carlo method, DISEASE vectors, MARKOV chain Monte Carlo, BANANAS, PARAMETER identification, STOCHASTIC models, STOCHASTIC analysis, STOCHASTIC processes, DEVELOPING countries

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

Autoren: Andreella, Angela Mira, Antonietta Balafas, Spyros et al.

Quelle: Statistical Methods & Applications; Apr2024, Vol. 33 Issue 2, p635-659, 25p

Schlagwörter: COVID-19 pandemic, EMERGENCY management, PREDICTION models, EMERGENCY medical services, STATISTICAL models, STATISTICAL smoothing, FORECASTING

Geografische Kategorien: LOMBARDY (Italy)

Temporal analysis of hospital network data by hierarchical Bayesian p 2 models with covariates.

Autoren: Bartolucci, Francesco Donni, Paolo Li Mira, Antonietta

Quelle: Journal of the Royal Statistical Society: Series A (Statistics in Society); Jul2023, Vol. 186 Issue 3, p422-440, 19p, 7 Charts, 2 Graphs, 1 Map

Schlagwörter: MARKOV chain Monte Carlo, BAYESIAN field theory, MEDICAL referrals, TIME-varying networks

Geografische Kategorien: NETHERLANDS, ITALY

Spatio-temporal prediction model of out-of-hospital cardiac arrest: Designation of medical priorities and estimation of human resources requirement.

Autoren: Auricchio, Angelo Peluso, Stefano Caputo, Maria Luce et al.

Quelle: PLoS ONE; 8/31/2020, Vol. 15 Issue 8, p1-13, 13p

Schlagwörter: CARDIAC arrest, AUTOMATED external defibrillation, PREDICTION models, HUMAN capital, FORECASTING

Geografische Kategorien: GUANGZHOU (China), TICINO (Switzerland)

Bayesian calibration of force-fields from experimental data: TIP4P water.

Autoren: Dutta, Ritabrata Brotzakis, Zacharias Faidon Mira, Antonietta

Quelle: Journal of Chemical Physics; 2018, Vol. 149 Issue 15, pN.PAG-N.PAG, 12p, 2 Charts, 10 Graphs

Schlagwörter: BAYESIAN analysis, MOLECULAR dynamics, MOLECULAR force constants, GAUSSIAN processes, MONTE Carlo method, HELIUM, X-ray diffraction, NEUTRON diffraction

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

Autoren: Varghese, Abhishek Santos-Fernandez, Edgar Denti, Francesco et al.

Quelle: Scientific Reports; 6/16/2023, Vol. 13 Issue 1, p1-14, 14p

Schlagwörter: COVID-19, COVID-19 pandemic, HIGH-income countries, POPULATION aging, COMORBIDITY, PER capita

Geografische Kategorien: HIDALGO (Mexico : State)

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

Autoren: Denti, Francesco Peluso, Stefano Guindani, Michele et al.

Quelle: Statistics in Medicine; 5/30/2023, Vol. 42 Issue 12, p1931-1945, 15p

Schlagwörter: FALSE discovery rate, MIXTURES

A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data.

Autoren: Denti, Francesco Camerlenghi, Federico Guindani, Michele et al.

Quelle: Journal of the American Statistical Association; Mar2023, Vol. 118 Issue 541, p405-416, 12p

Schlagwörter: ATOMIC models, BAYESIAN analysis, DATA analysis, GUT microbiota, FOOD habits