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Monica Chiogna

Professoressa ordinaria

Dipartimento di Scienze Statistiche "Paolo Fortunati"

Settore scientifico disciplinare: SECS-S/01 STATISTICA

Coordinatrice del Corso di Dottorato in Scienze statistiche

Pubblicazioni

Erika Banzato, Monica Chiogna, Vera Djordjilovic, Davide Risso, A Bartlett-type correction for likelihood ratio tests with application to testing equality of Gaussian graphical models, «STATISTICS & PROBABILITY LETTERS», in corso di stampa, In press, pp. 1 - 13 [articolo]

Thi Kim Hue Nguyen; Koen Van den Berge; Monica Chiogna; Davide Risso, Structure learning for zero-inflated counts, with an application to single-cell RNA sequencing data, «THE ANNALS OF APPLIED STATISTICS», in corso di stampa, In press, pp. 1 - 20 [articolo]

Duc-Khanh To, Gianfranco Adimari, Monica Chiogna, Estimation of the volume under a ROC surface in presence of covariates, «COMPUTATIONAL STATISTICS & DATA ANALYSIS», 2022, In press, pp. 1 - 15 [articolo]

TO, DUC KHANH; ADIMARI, GIANFRANCO; CHIOGNA, MONICA; RISSO DAVIDE, ROC estimation and threshold selection criteria in three-class classification problems for clustered data, «STATISTICAL METHODS IN MEDICAL RESEARCH», 2022, In press, pp. 1 - 26 [articolo]

Djordjilovic Vera; Chiogna Monica, Searching for a source of difference in graphical models, «JOURNAL OF MULTIVARIATE ANALYSIS», 2022, 190, Article number: 104973, pp. 1 - 13 [articolo]

Baschieri, Francesca; Guaraldi, Pietro; Provini, Federica; Chiogna, Monica; Barletta, Giorgio; Cecere, Annagrazia; De Scisciolo, Giuseppe; Cortelli, Pietro; Calandra-Buonaura, Giovanna, Circadian and state-dependent core body temperature in people with spinal cord injury, «SPINAL CORD», 2021, 59, pp. 538 - 546 [articolo]

Adimari, Gianfranco; To, Duc-Khanh; Chiogna, Monica, Non-monotone transformation of biomarkers, «STATISTICAL METHODS IN MEDICAL RESEARCH», 2021, 30, pp. 349 - 353 [articolo]

Federico Agostinis, Monica Chiogna, Vera Djordjilovic ́, Luna Pianesi, Chiara Romualdi, Searching for a source of difference in undirected graphical models for count data - an empirical study, in: Book of short papers - SIS2021, PEARSON, 2021, pp. 689 - 694 (atti di: 50th Meeting of the Italian Statistical Society, Pisa, Italy, June 21, 2021 – June 25, 2021) [Contributo in Atti di convegno]

Nguyen Thi Kim Hue; Monica Chiogna, Structure Learning of Undirected Graphical Models for Count Data, «JOURNAL OF MACHINE LEARNING RESEARCH», 2021, 22, Article number: 50, pp. 1 - 53 [articolo]Open Access

Pier Giovanni Bissiri, Monica Chiogna, Nguyen Thi Kim Hue, Bayesian Inference of Undirected Graphical Models from Count Data, in: Book of short papers SIS 2020, Pearson, 2020, pp. 638 - 643 (atti di: SIS 2020, Pisa, Suspended) [Contributo in Atti di convegno]

Nguyen Thi Kim Hue, Monica Chiogna, and Davide Risso, Graphical models for count data: an application to single-cell RNA sequencing, in: Book of short papers SIS 2020, Pearson, 2020, pp. 762 - 767 (atti di: SIS 2020, Pisa, Suspended) [Contributo in Atti di convegno]

To, Duc Khanh; Adimari, Gianfranco; Chiogna, Monica, Mean score equation and instrumental variables: Another look at estimating the volume under the receiver operating characteristic surface when data are missing not at random, «STAT», 2020, 9, pp. 1 - 13 [articolo]

Khanh To Duc; Monica Chiogna; Gianfranco Adimari, Nonparametric estimation of ROC surfaces under verification bias, «REVSTAT STATISTICAL JOURNAL», 2020, 18, pp. 697 - 720 [articolo]

Djordjilović, Vera; Chiogna, Monica; Romualdi, Chiara; Salviato, Elisa, Searching for the Source of Difference: A Graphical Model Approach, in: Computational Intelligence Methods for Bioinformatics and Biostatistics., Heidelberg, New York, Dordrecht, London, Springer, Cham, 2020, pp. 131 - 138 (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE) [capitolo di libro]

Duc Khanh To, Gianfranco Adimari, Monica Chiogna, Selecting optimal thresholds in ROC analysis with clustered data, in: Book of short papers SIS 2020, Pearson, 2020, pp. 803 - 808 (atti di: SIS 2020, Pisa, Suspendedd) [Contributo in Atti di convegno]

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