Pubblicazioni scientifiche
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D.-L. Couturier, S. Guerrier, Maria-Pia Victoria Feser, Right-Censoring Bias Correction for Growth Curve Linear Mixed Models, in: CFE-CMStatistics 2019: PROGRAMME AND ABSTRACTS, 2019, pp. 188 - 188 (atti di: 12th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics), London, UK, December 2019) [Riassunto (Abstract)]
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S. Guerrier, S. Heritier, Maria-Pia Victoria Feser, Exact Finite Sample Inference for Studies with a Small Number of Clusters, in: CFE-CMStatistics 2019: PROGRAMME AND ABSTRACTS, 2019, pp. 188 - 188 (atti di: 12th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics), London, UK, December 2019) [Riassunto (Abstract)]
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S. Guerrier, M. Karemera, S. Orso, Maria-Pia Victoria Feser, Finite Sample Unbiased Estimation in High Dimensional Settings, in: CFE-CMStatistics 2019: PROGRAMME AND ABSTRACTS, 2019, pp. 188 - 188 (atti di: 12th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics), London, UK, December 2019) [Riassunto (Abstract)]
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S. Guerrier, M. Karemera, S. Orso, Maria-Pia Victoria Feser, Simulated Switched Z-estimation for Accurate Finite Sample Inference, in: CFE-CMStatistics 2019: PROGRAMME AND ABSTRACTS, 2019, pp. 187 - 188 (atti di: 12th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics), London, UK, December 2019) [Riassunto (Abstract)]
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S. Guerrier, M. Karemera, S. Orso, Maria-Pia Victoria Feser, Finite Sample Unbiasedness in High Dimensions for the Logistic Regression Model with Small EPV, in: 40th Annual Conference of the International Society for Clinical Biostatistics: Book of abstracts, 2019, pp. 438 - 439 (atti di: Annual Conference of the International Society for Clinical Biostatistics (ISCB), Leuven, Belgium, July 2019) [Riassunto (Abstract)]
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S. Heritier, S. Guerrier, Maria-Pia Victoria Feser, Exact finite sample inference for clustered data, in: 40th Annual Conference of the International Society for Clinical Biostatistics: Book of abstracts, 2019, pp. 473 - 474 (atti di: Annual Conference of the International Society for Clinical Biostatistics (ISCB), Leuven, Belgium, July 2019) [Riassunto (Abstract)]
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Verme P.; Gigliarano C., Optimal targeting under budget constraints in a humanitarian context, «WORLD DEVELOPMENT», 2019, 119, pp. 224 - 233 [Articolo in rivista]
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Araar A.; Verme P., Prices and welfare: a comparative analysis of measures and computational methods, «EMPIRICAL ECONOMICS», 2019, 57, pp. 1077 - 1101 [Articolo in rivista]
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Araar, Abdelkrim; Verme, Paolo, Prices and Welfare: An Introduction to the Measurement of Well-being when Prices Change, London, Palgrave, 2019, pp. 98 . [Monografia/Trattato scientifico in forma di libro]
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Giustozzi, M.; Vedovati, M. C.; Verso, M.; Scrucca, L.; Conti, S.; Verdecchia, P.; Bogliari, G.; Pierpaoli, L.; Agnelli, G.; Becattini, C., Patients aged 90 years or older with atrial fibrillation treated with oral anticoagulants: A multicentre observational study, «INTERNATIONAL JOURNAL OF CARDIOLOGY», 2019, 281, pp. 56 - 61 [Articolo in rivista]
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Scrucca, L.; Serafini, A., Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms, «JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS», 2019, 28, pp. 847 - 860 [Articolo in rivista]
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Fop, M.; Murphy, T. B.; Scrucca, L., Model-based clustering with sparse covariance matrices, «STATISTICS AND COMPUTING», 2019, 29, pp. 791 - 819 [Articolo in rivista]
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O'Hagan, A.; Murphy, T. B.; Scrucca, L.; Gormley, I. C., Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap, «COMPUTATIONAL STATISTICS», 2019, 34, pp. 1779 - 1813 [Articolo in rivista]
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Scrucca, L., A transformation-based approach to Gaussian mixture density estimation for bounded data, «BIOMETRICAL JOURNAL», 2019, 61, pp. 873 - 888 [Articolo in rivista]