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pro vyhledávání: '"Pablo Zafra"'
Autor:
Pablo Zafra, Jiantian Wang
Publikováno v:
Journal of Data Science. 7:365-380
For estimating bivariate survival function under random censor- ship, it is commonly believed that the Dabrowska estimator is among the best ones while the Volterra estimator is far from being computational ef- ficiency. As we will see, the Volterra
Publikováno v:
Naval Research Logistics. 43:955-970
We describe a modification of Brown's fictitious play method for solving matrix (zero-sum two-person) games and apply it to both symmetric and general games. If the original game is not symmetric, the basic idea is to transform the given matrix game
Autor:
Pablo Zafra
Publikováno v:
Wiley Encyclopedia of Operations Research and Management Science
The equivalence between linear programming (LP) and two-person zero-sum games (also commonly referred to as matrix games) was established when the minimax theorem in game theory proved to be equivalent to the duality concept in LP. The equivalence is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04394f27b709977380bb22174ea9d0fa
https://doi.org/10.1002/9780470400531.eorms0471
https://doi.org/10.1002/9780470400531.eorms0471
Autor:
Pablo Zafra
Publikováno v:
Wiley Encyclopedia of Operations Research and Management Science
The original fictitious play algorithm is an iterative procedure developed by G. Brown to find an estimate of a solution to two-person zero-sum games (also commonly referred to as matrix games). The simplicity of the method is very appealing, but the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24827314d8650fcc6174bf55db330293
https://doi.org/10.1002/9780470400531.eorms0322
https://doi.org/10.1002/9780470400531.eorms0322