Advances in Probability and Mathematical Statistics: Clapem 2019, Mérida, Mexico

ISBN-13: 9783030853242 / Angielski / Twarda / 2021 / 140 str.

Daniel Hernández‐hernández; Florencia Leonardi; Ramsés H. Mena

Spis treści

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.

O autorze

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

Blurb

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.