Selected Contributions on Statistics and Data Science in Latin America
Springer International Publishing (Verlag)
978-3-030-31550-4 (ISBN)
Anzarut, M., González, L. F., and Ortiz, M. T: A Heavy-tailed Multilevel Mixture Model for the Quick Count in the Mexican Elections of 2018.- Baltazar, F. and Esparza, L. J. R: Bayesian estimation for the Markov-Modulated Diffusion Risk Model.- Sergio, A. B., Johny, J. P., Ana, B. N., and Purificaci´on, G: Meta-analysis in DTA with hierarchical models Bivariate and HSROC: Simulation study.- Coen, A. and Chaparro, B. G: Compound Dirichlet Processes.- Guti´errez, E. and Walker, S. G: An efficient method to determine the degree of overlap of two multivariate distributions.- Mart´inez, A. F.: Clustering via non-symmetric partition distributions.- Naranjo, L., Fuentes, R., and P´erez, C, J: A Flexible Replication-Based Classification Approach for Parkinson's Disease Detection by Using Voice Recordings.- Novoa, F., Espinoza, S. C., P´erez, A. C., and Duque, I. H: Calibration of population growth mathematical models by using time series.- Castro, E. P.,Jaimes, F. G., Rodr´iguez, E. B., Carreto, R. R., Roque, R. L., Leyva, V. V: Impact of the Red Code process using structural equation models.- Esparza, L. J. R.: On a construction of stationary processes via Bilateral Matrix-Exponential distributions.- Richards, E. I. V., Gallagher, E., and Su´arez, P: BoostNet: Bootstrapping detection of socialbots, and a case study from Guatemala.
Erscheinungsdatum | 07.11.2019 |
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Reihe/Serie | Springer Proceedings in Mathematics & Statistics |
Zusatzinfo | VIII, 154 p. 46 illus., 36 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 418 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
Schlagworte | Bayesian Computing • Bayesian Inference for Big Data • Bayesian Nonparametric Methods • Computational Methods for Bayesian Inference • environmental statistics • spatial statistics • Variational Bayesian Inference |
ISBN-10 | 3-030-31550-9 / 3030315509 |
ISBN-13 | 978-3-030-31550-4 / 9783030315504 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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