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Found 115 Documents (Results 1–100)

Modeling of passenger demand using mixture of Poisson components. (English) Zbl 07782251

Gusikhin, Oleg (ed.) et al., ICINCO 2019. Proceedings of the 16th international conference on informatics in control, automation and robotics, Prague, Czech Republic, July 29–31, 2019. In 2 volumes. Setúbal: SCITEPRESS – Science and Technology Publications. 617-624, Vol. 1 (2019).
MSC:  90B20 90B10
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An overview on the URV model-based approach to cluster mixed-type data. (English) Zbl 1436.62282

Greselin, Francesca (ed.) et al., Statistical learning of complex data. Selected papers of the 11th scientific meeting of the Classification and Data Analysis Group of the Italian Statistical Society (CLADAG 2017), Milan, Italy, September 13–15, 2017. Cham: Springer. Stud. Classification Data Anal. Knowl. Organ., 45-53 (2019).
MSC:  62H30 62P30
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A doubly-inflated Poisson distribution and regression model. (English) Zbl 1434.62144

Diawara, Norou (ed.), Modern statistical methods for spatial and multivariate data. Cham: Springer. STEAM-H, Sci. Technol. Eng. Agric. Math. Health, 131-145 (2019).
MSC:  62J02 62E15 62P10
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Health and income: theory and evidence for OECD countries. (English) Zbl 1437.91287

Bucci, Alberto (ed.) et al., Human capital and economic growth. The impact of health, education and demographic change. Cham: Palgrave Macmillan. 169-207 (2019).
MSC:  91B62 91B82
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Beyond the low-degree algorithm: mixtures of subcubes and their applications. (English) Zbl 1433.68334

Charikar, Moses (ed.) et al., Proceedings of the 51st annual ACM SIGACT symposium on theory of computing, STOC ’19, Phoenix, AZ, USA, June 23–26, 2019. New York, NY: Association for Computing Machinery (ACM). 869-880 (2019).
MSC:  68T05 62H30
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Model selection for mixture models – perspectives and strategies. (English) Zbl 1428.62269

Frühwirth-Schnatter, Sylvia (ed.) et al., Handbook of mixture analysis. Boca Raton, FL: CRC Press. Chapman Hall/CRC Handb. Mod. Stat. Methods, 117-154 (2019).
MSC:  62H30 62B10 62F07
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