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Bases for alternative nonparametric Mincer function
(Universidad de Cuenca, 2017)
A Bayesian approach to hybrid splines non-parametric regression
(Taylor & Francis LtdAbingdonInglaterra, 2002)
Efficient nonparametric confidence bands for receiver operating-characteristic curves
(SAGE Publications Ltd, 2018)
Nonparametric entropy-based tests of independence between stochastic processes
(Escola de Pós-Graduação em Economia da FGV, 2001-03-01)
This paper develops nonparametric tests of independence between two stationary stochastic processes. The testing strategy boils down to gauging the closeness between the joint and the product of the marginal stationary ...
Nonparametric identification and estimation of score auctions in multi-attribute procurement
(2021)
Score auctions are used in procurement to incorporate other attributes beyond price. We establish nonparametric econometric identification of bidders' pseudotypes (a measure of bidder's private cost), when bids are evaluated ...
Determination of a representative area element (RAE) based on nonparametric statistics in bread
(ELSEVIER SCI LTD, 2011)
The concept of representative area element (RAE) was applied to quantify the air cell present in pre-sliced bread. Ten slices from bread were selected and each divided into nine subareas where 60 air cells were measured. ...
A penalized nonparametric method for nonlinear constrained optimization based on noisy data
(SpringerNew YorkEUA, 2010)
Efficient bayesian methods for mixture models with genetic applications
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2016-12-14)
We propose Bayesian methods for selecting and estimating di erent types of mixture models which are widely used in Genetics and Molecular Biology. We speci cally propose data-driven selection and estimation methods for a ...
Restrictions of economic theory in nonparametric methods / Rosa Matzkin; Nonparametric discrete choice models with unobserved heterogeneity / por Richard Briesch, Pradeep Chintagunta, Rosa Matzkin
(Universidad de San Andrés. Departamento de Economía, 1996)
Robust estimation for nonparametric generalized regression
(Elsevier, 2011-12)
This paper focuses on nonparametric regression estimation for the parameters of a discrete or continuous distribution, such as the Poisson or Gamma distributions, when anomalous data are present. The proposal is a natural ...