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Predicting trace gas concentrations using quantile regression models
(Springer, 2017)
Quantile regression methods are evaluated for computing predictions and prediction intervals of NOx concentrations measured in the vicinity of the power plant in As Pontes (Spain). For these data, smaller prediction errors ...
A Generalized Model to Estimate the Statistical Power in Mitochondrial Disease Studies Involving 2×k Tables
(Public Library of Science, 2013)
Mitochondrial DNA (mtDNA) variation (i.e. haplogroups) has been analyzed in regards to a number of multifactorial diseases. The statistical power of a case-control study determines the a priori probability to reject the ...
Burned area prediction with semiparametric models
(Csiro Publishing, 2015)
Wildfires are one of the main causes of forest destruction, especially in Galicia (north-west Spain), where the area burned by forest fires in spring and summer is quite high. This work uses two semiparametric time-series ...
Functional covariate-adjusted partial area under the specificity-ROC curve with an application to metabolic syndrome diagnosis
(The Institute of Mathematical Statistics, 2016)
Due to recent advances in technology, medical diagnosis data are becoming increasingly complex and, nowadays, applications where measurements are curves or images are ubiquitous. Motivated by the need of modeling a functional ...
Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates
(Elsevier, 2019)
The bias-variance trade-o for inhomogeneous point processes with covariates
is theoretically and empirically addressed. A consistent kernel estimator
for the rst-order intensity function based on covariates is constructed, ...
Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes
(Institute of Mathematical Statistics, 2019)
We consider marked empirical processes indexed by a randomly projected functional covariate to construct goodness-of-fit tests for the functional linear model with scalar response. The test statistics are built from ...
On the second order properties of the multidimensional periodogram for regularly spaced data
(Society for Industrial and Applied Mathematics (SIAM), 2009)
Recently there is growing interest in improving the level of knowledge of spatial and spatio-temporal processes using spectral techniques. The properties of the estimator of the spectral density, the periodogram, have been ...
Central limit theorems for directional and linear random variables with applications
(Academia Sinica, Institute of Statistical Science, 2015)
A central limit theorem for the integrated squared error of the directional-linear kernel density estimator is established. The result enables the construction and analysis of two testing procedures based on squared loss: ...
Empirical likelihood based testing for regression
(The Institute of Mathematical StatisticsThe Bernoulli Society, 2008)
Consider a random vector (X, Y ) and let m(x) = E(Y |X = x).
We are interested in testing H0 : m ∈ MΘ,G = {γ(·, θ, g) : θ ∈ Θ, g ∈ G}
for some known function γ, some compact set Θ ⊂ IRp and some function
set G of real ...
Testing for signif cant differences between two spatial patterns using covariates
(Elsevier, 2019)
This paper addresses the problem of comparing the spatial distribution of two point patterns.
A formal statistical test is proposed to decide whether two observed patterns share the same theoretical intensity model. ...