Buscar
Mostrando ítems 1-10 de 558
Adaptive MCA-Matched Filter Algorithms for Binary Detection
(Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía, Física y Computación, 2013)
In this work, we present a method for signal-to-noise ratio maximization using a linear filter based on minor component analysis of the noise covariance matrix. As we will see, the greatest benefits are obtained when both ...
Efficient propagation of shocks and the optimal return on money
(Academic Press Inc Elsevier Science, 2008-09)
We study optimal allocations in an environment in which money is essential due to lack of commitment and anonymity of individuals. Because the economy features aggregate preference shocks, we apply a notion of implementability ...
An optimization-based propensity score matching estimator
(2015)
This paper proposes a simple alternative for the treatment e ect estimators based on match-
ing on the estimated propensity score. In this approach, both weights and the number of coun-
terfactuals employed in realizing ...
Conceptualizing and Measuring Democracy: A New Approach
(CAMBRIDGE UNIV PRESS, 2011)
In the wake of the Cold War, democracy has gained the status of a mantra. Yet there is no consensus about how to conceptualize and measure regimes such that meaningful comparisons can be made through time and across ...
A new methodology to reduce uncertainties in reservoir simulation models using observed data and sampling techniques
(Elsevier Science BvAmsterdamHolanda, 2010)
Optimal Boussinesq model for shallow-water waves interacting with a microstructure
(2007-10-12)
In this paper, we consider the propagation of water waves in a long-wave asymptotic regime, when the bottom topography is periodic on a short length scale. We perform a multiscale asymptotic analysis of the full potential ...
Propuesta de algoritmos para aglomeración jerárquica de datos longitudinales y/o grandes volúmenes de datos, bajo condición de existencia de observaciones repetidas.
(2020)
El propósito del trabajo es presentar un procedimiento de segmentación aglomerativo jerárquico que en determinadas condiciones permite reducir sustancialmente la dimensión de las matrices de distancia que se utilizan para ...