Advances in Probability and Mathematical Statistics -

Advances in Probability and Mathematical Statistics

CLAPEM 2019, Mérida, Mexico
Buch | Hardcover
IX, 174 Seiten
2021 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-85324-2 (ISBN)
160,49 inkl. MwSt
This volume contains papers which were presented at the XV Latin American Congress of Probability and Mathematical Statistics (CLAPEM) in December 2019 in Mérida-Yucatán, México. They represent well the wide set of topics on probability and statistics that was covered at this congress, and their high quality and variety illustrates the rich academic program of the conference.

lt;b>Daniel Hernández Hernández is a researcher at CIMAT, Guanajuato, Mexico. He is also the academic coordinator of CIMAT. Florencia Leonardi is a researcher in probability and statistics at the University of Sao Paulo, Brazil. She is also  the former president of the SLAPEM  Ramsés H. Mena is a researcher in statistics at UNAM, Mexico. He is also the director  of IIMAS at UNAM. Juan Carlos Pardo Millán is a researcher in probability at CIMAT, Guanajuato, Mexico. He is also the current president of the SLAPEM

Asymptotic connectedness of random interval graphs in a one dimensional data delivery problem.- Geometric random graphs on circles.- More about asymptotic properties of some binary classification methods for high dimensional data.- Transport Distances on Random Vectors of Measures: Recent Advances in Bayesian Nonparametrics.- Bayesian non-parametric priors based on random sets.- Conjugate predictive distributions and generalized entropies.- Approximation and mean field control of systems of large populations.- Explicit solution simulation method for the 3/2 model.- Large deviations and Wschebor's theorems.

Erscheinungsdatum
Reihe/Serie Progress in Probability
Zusatzinfo IX, 174 p. 14 illus., 12 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 433 g
Themenwelt Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Bayesian modelling • limit theorems • Random Graphs • random processes • Statistical Mechanics • stochastic control
ISBN-10 3-030-85324-1 / 3030853241
ISBN-13 978-3-030-85324-2 / 9783030853242
Zustand Neuware
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