Selected Contributions on Statistics and Data Science in Latin America

33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1¿5
1. Auflage 2019
ISBN: 978-3-030-31553-5
Verlag: Springer International Publishing

Buch, Englisch, Band 301, 154 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 260 g

Reihe: Springer Proceedings in Mathematics & Statistics

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.

Zielgruppe

Research

Autoren/Hrsg.

Antoniano-Villalobos, Isadora

Mena, Ramsés H.

Nieto-Barajas, Luis E.

Mendoza, Manuel

Naranjo, Lizbeth

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Stochastik Bayesianische Inferenz
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data

Inhaltsverzeichnis

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 Puri?caci´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 ef?cient 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 Classi?cation 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.