Selected Contributions on Statistics and Data Science in Latin America

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Details

The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies. For the 2018 edition, particular attention was placed on the analysis of highly complex or large data sets, which have come to be known as big data. Statistical research in Latin America is prolific and research networks span within and outside the region. The goal of this volume is to provide access to selected works from Latin-American collaborators and their research networks to a wider audience. New methodological advances, motivated in part by the challenges of a data-driven world and the Latin American context, will be of interest to academics and practitioners around the world.

Provides access to original research from Mexico and Latin America Contains peer-reviewed articles on a variety of statistical areas Attractive content for both theorists and practitioners

Inhalt

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 Puricaci´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 efcient method to determine the degree of overlap of two multivariate distributions.- Mart´nez, A. F.: Clustering via non-symmetric partition distributions.- Naranjo, L., Fuentes, R., and P´erez, C, J: A Flexible Replication-Based Classication 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´guez, 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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030315504
    • Editor Isadora Antoniano-Villalobos, Ramsés H. Mena, Luis E. Nieto-Barajas, Lizbeth Naranjo, Manuel Mendoza
    • Sprache Englisch
    • Auflage 1st edition 2019
    • Größe H241mm x B160mm x T15mm
    • Jahr 2019
    • EAN 9783030315504
    • Format Fester Einband
    • ISBN 3030315509
    • Veröffentlichung 06.11.2019
    • Titel Selected Contributions on Statistics and Data Science in Latin America
    • Untertitel 33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 15
    • Gewicht 418g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 164
    • Lesemotiv Verstehen
    • Genre Mathematik

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