Buch, Englisch, Band 301, 154 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 418 g
33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1¿5
Buch, Englisch, Band 301, 154 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 418 g
Reihe: Springer Proceedings in Mathematics & Statistics
ISBN: 978-3-030-31550-4
Verlag: Springer International Publishing
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.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
- Mathematik | Informatik Mathematik Stochastik Bayesianische Inferenz
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
Weitere Infos & Material
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.
