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The pareto-stability concept is a natural solution concept for discrete matching markets with indifferences
(SPRINGER HEIDELBERG, 2011)
In a decentralized setting the game-theoretical predictions are that only strong blockings are allowed to rupture the structure of a matching. This paper argues that, under indifferences, also weak blockings should be ...
An optimization-based matching procedure
(Universidad de Chile, Facultad de Economía y Negocios, 2008)
This paper presents an alternative matching procedure and analyzes it
is performance compared to other popular estimators. These tests
show that the estimator performs comparably to the popular
propensity score method.
The ...
The stability of the equilibrium outcomes in the admission games induced by stable matching rules
(SPRINGER HEIDELBERG, 2008)
A stable matching rule is used as the outcome function for the Admission game where colleges behave straightforwardly and the students` strategies are given by their preferences over the colleges. We show that the ...
Matching colored points with rectangles
(Springer, 2017)
Let S be a point set in the plane such that each of its elements is colored either red or blue. A matching of S with rectangles is any set of pairwise-disjoint axis-aligned closed rectangles such that each rectangle contains ...
Comment on “An algorithm for moment-matching scenario generation with application to financial portfolio optimization"
(2018)
A paper by Ponomareva, Roman, and Date proposed a new algorithm to generate scenarios and their probability weights matching exactly the given mean, the covariance matrix, the average of the marginal skewness, and the ...
Robust randomized matchings
(Informs, 2018-05)
The following game is played on a weighted graph: Alice selects a matching M and Bob selects a number k. Alice's payoff is the ratio of the weight of the k heaviest edges of M to the maximum weight of a matching of size ...
A new methodology for assisted history matching using independent objective functions
(Taylor & Francis IncPhiladelphiaEUA, 2008)
An optimization -based matching estimator : large and small sample properties
(Universidad de Chile, 2014-12)
This work proposes a novel matching estimator where weights and the choice of neighbors
used are endogenously determined by solving an optimization problem. The estimator is
non-parametric and is based on nding, for ...