Results 21 to 30 of about 936 (117)
Three months journeying of a Hawaiian monk seal [PDF]
, 2008 Hawaiian monk seals (Monachus schauinslandi) are endemic to the Hawaiian Islands and are the most endangered species of marine mammal that lives entirely within the jurisdiction of the United States. The species numbers around 1300 and has been declining
Brent S. Stewart +3 more
core +4 more sources
Cross-validation in nonparametric regression with outliers [PDF]
, 2005 A popular data-driven method for choosing the bandwidth in standard kernel regression is cross-validation. Even when there are outliers in the data, robust kernel regression can be used to estimate the unknown regression curve [Robust and Nonlinear Time ...
Leung, Denis Heng-Yan
core +3 more sources
Estimating a Polya frequency function_2
, 2007 We consider the non-parametric maximum likelihood estimation in the class of Polya frequency functions of order two, viz. the densities with a concave logarithm. This is a subclass of unimodal densities and fairly rich in general.
Meyer, Mary +2 more
core +1 more source
Uniform error bounds for smoothing splines [PDF]
, 2006 Almost sure bounds are established on the uniform error of smoothing spline estimators in nonparametric regression with random designs. Some results of Einmahl and Mason (2005) are used to derive uniform error bounds for the approximation of the spline ...
Eggermont, P. P. B., LaRiccia, V. N.
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Nonparametric expectile shortfall regression for functional data
Demonstratio MathematicaThis work addresses the issue of financial risk analysis by introducing a novel expected shortfall (ES) regression model, which employs expectile regression to define the shortfall threshold in financial risk management.
Almanjahie Ibrahim M. +4 more
doaj +1 more source
Parameter Estimation of the Partially Linear Quantile Regression Model Under Monotonic Constraints
Journal of Mathematics, Volume 2025, Issue 1, 2025.The paper brings forward the partially linear quantile regression model by incorporating monotonic constraints, which are common in real‐world relationships between variables. It introduces two novel parameter estimation methods, that is, the coordinate descent method and the profile likelihood method, which eliminate the extensive tuning and simplify ...
Shujin Wu +4 more
wiley +1 more source
Asymptotic normality of kernel estimates in a regression model for random fields [PDF]
, 2008 We establish the asymptotic normality of the regression estimator in a fixed-design setting when the errors are given by a field of dependent random variables. The result applies to martingale-difference or strongly mixing random fields. On this basis, a
Machkouri, Mohamed El, Stoica, Radu
core +5 more sources
Dependence Modeling, 2019 We study nonparametric estimators of conditional Kendall’s tau, a measure of concordance between two random variables given some covariates. We prove non-asymptotic pointwise and uniform bounds, that hold with high probabilities.
Derumigny Alexis, Fermanian Jean-David
doaj +1 more source
Local linear regression for functional predictor and scalar response [PDF]
, 2007 The aim of this work is to introduce a new nonparametric regression technique in the context of functional covariate and scalar response. We propose a local linear regression estimator and study its asymptotic behaviour.
Baíllo, Amparo, Grané, Aurea
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Estimation of the tail-index in a conditional location-scale family of heavy-tailed distributions
Dependence Modeling, 2019 We introduce a location-scale model for conditional heavy-tailed distributions when the covariate is deterministic. First, nonparametric estimators of the location and scale functions are introduced.
Ahmad Aboubacrène Ag +3 more
doaj +1 more source