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This volume contains the proceedings of the XII Symposium of
Probability and Stochastic Processes which took place at
Universidad Autonoma de Yucatan in Merida, Mexico, on November
16-20, 2015. This meeting was the twelfth meeting in a series of
ongoing biannual meetings aimed at showcasing the research of
Mexican probabilists as well as promote new collaborations between
the participants. The book features articles drawn from different
research areas in probability and stochastic processes, such as:
risk theory, limit theorems, stochastic partial differential
equations, random trees, stochastic differential games, stochastic
control, and coalescence. Two of the main manuscripts survey recent
developments on stochastic control and scaling limits of
Markov-branching trees, written by Kazutoshi Yamasaki and Benedicte
Haas, respectively. The research-oriented manuscripts provide new
advances in active research fields in Mexico. The wide selection of
topics makes the book accessible to advanced graduate students and
researchers in probability and stochastic processes.
This volume contains the proceedings of the XII Symposium of
Probability and Stochastic Processes which took place at
Universidad Autonoma de Yucatan in Merida, Mexico, on November
16-20, 2015. This meeting was the twelfth meeting in a series of
ongoing biannual meetings aimed at showcasing the research of
Mexican probabilists as well as promote new collaborations between
the participants. The book features articles drawn from different
research areas in probability and stochastic processes, such as:
risk theory, limit theorems, stochastic partial differential
equations, random trees, stochastic differential games, stochastic
control, and coalescence. Two of the main manuscripts survey recent
developments on stochastic control and scaling limits of
Markov-branching trees, written by Kazutoshi Yamasaki and Benedicte
Haas, respectively. The research-oriented manuscripts provide new
advances in active research fields in Mexico. The wide selection of
topics makes the book accessible to advanced graduate students and
researchers in probability and stochastic processes.
This volume contains papers which were presented at the XV Latin
American Congress of Probability and Mathematical Statistics
(CLAPEM) in December 2019 in Merida-Yucatan, Mexico. 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.
This volume provides a general overview of discrete- and
continuous-time Markov control processes and stochastic games,
along with a look at the range of applications of stochastic
control and some of its recent theoretical developments. These
topics include various aspects of dynamic programming,
approximation algorithms, and infinite-dimensional linear
programming. In all, the work comprises 18 carefully selected
papers written by experts in their respective fields. Optimization,
Control, and Applications of Stochastic Systems will be a valuable
resource for all practitioners, researchers, and professionals in
applied mathematics and operations research who work in the areas
of stochastic control, mathematical finance, queueing theory, and
inventory systems. It may also serve as a supplemental text for
graduate courses in optimal control and dynamic games.
This volume contains papers which were presented at the XV Latin
American Congress of Probability and Mathematical Statistics
(CLAPEM) in December 2019 in Merida-Yucatan, Mexico. 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.
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