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Quasi-Monte Carlo Algorithm for Pricing Options
(ILADES; Georgetown University; Universidad Alberto Hurtado. Facultad de Economía y Negocios, 2014)
FIML estimation of treatment effect models with endogenous selection and multiple censored responses via a Monte Carlo EM algorithm
(Centro de Investigación y Docencia Económicas, División de Economía, 2016)
Adsorption of binary mixtures on two-dimensional surfaces: theory and Monte Carlo simulations
(Springer, 2014-06)
The adsorption of binary mixtures on square lattices is studied by combining theoretical modeling and Monte Carlo (MC) simulations in grand canonical ensemble. The adsorption thermodynamics is analyzed through the total ...
Adsorption of binary mixtures on two-dimensional triangular lattices
(Elsevier Science, 2020-11)
The adsorption of interacting binary mixtures on triangular lattices is studied by combining theory and Monte Carlo (MC) simulations. Two theoretical approximations are used in the present work: (i) the cluster approximation ...
Clustering binary data by application of combinatorial optimization heuristics
(2019-08-09)
We study clustering methods for binary data, first defining aggregation criteria that measure the compactness of clusters. Five new and original methods are introduced, using neighborhoods and population behavior combinatorial ...