C. N. Hernandez-Flores

C. N. Hernandez-Flores
Universidad de Las Palmas de Gran Canaria | ULPGC · Department of Mathematics

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13
Publications
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99
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Publications

Publications (13)
Article
AimUnderstanding the reasons why hosts lose, maintain or swap their parasite burden after colonizing new areas has long intrigued island biogeographers. Using molecular markers, we evaluated parasite biogeography of a multiple parasite system of Apicomplexa protozoans (haemosporidian and coccidian parasites) showing different modes of transmission...
Article
Full-text available
This paper deals with the problem of discrimination between two sets of complex signals generated by stationary processes with both random effects and mixed spectral distributions. The presence of outlier signals and their influence on the classification process is also considered. As an initial input, a feature vector obtained from estimations of...
Article
A set of time series generated by stationary linear processes with an absolutely continuous spectral distribution is analysed. The time series can then be considered realizations of a linear process of random coefficients. Likewise, each spectral density function is a realization of a stochastic process whose function of means is called a populatio...
Article
On each object belonging to a certain population, a signal can be observed. We suppose that those signals come from an additive random effect model involving a population pattern, individual effect and intra‐individual noise. The main purpose of this paper is to estimate the underlying pattern from a set of signals observed on a random sample of ob...
Article
The objective of this paper is to compare time series patterns generated over two populations. A random sample of objects is chosen from each population. On each object, a stationary process with an absolutely continuous spectral distribution is observed at the same times. We assume that the logarithm of the periodogram from each time series follow...
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In this paper the authors address the problem of predictability for the NAO index series. The spectral analysis, completed with a bootstrap procedure, shows a rather featureless structure of the index. In other words, the actual time series could be a realisation of many different stochastic processes. An analysis of the Hurst exponent does suggest...
Article
A doubly stochastic process {x(b,t);bB,tZ} is considered, with (B,β,Pβ) being a probability space so that for each b, {X(b,t);t Z} is a stationary process with an absolutely continuous spectral distribution. The population spectrum is defined as f(ω) = EB[Q(b,ω)] with Q(b,ω) being the spectral density function of X(b,t). The aim of this paper is to...
Article
A random sample of r objects from a certain population is considered, measuring for each of them and at the same time points a stationary process Xi(t) whose spectral distribution is absolutely continuous. Each spectral density function fi(ω) may be considered as a realization of a stationary process R(ω), for which a population spectrum f(ω) is de...

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