@misc{10481/72977,
year = {2010},
month = {3},
url = {http://hdl.handle.net/10481/72977},
abstract = {The intensity of a doubly stochastic Poisson process (DSPP) is also a
stochastic process whose integral is the mean process of the DSPP. From a set
of sample paths of the Cox process we propose a numerical method, preserving
the monotone character of the mean, to estimate the intensity on the basis of the
functional PCA. A validation of the estimation method is presented by means of a
simulation as well as a comparison with an alternative estimation method.},
organization = {Projects MTM2007-63793 of Dirección General de Investigación, Ministerio de Ciencia, P06-FQM-01470 from Consejería de Innovación, Ciencia y Empresa de la Junta de Andalucía and MTM2007-66791 of Plan Nacional I+D, Ministerio de Ciencia y Tecnología jointly by the FEDER and grant FQM-307 of Conserjería de Innovación de la Junta de Andalucía, all of them in Spain},
publisher = {Springer},
keywords = {Cox process},
keywords = {Monotone piecewise cubic interpolation},
keywords = {Functional principal component analysis},
keywords = {Functional data analysis},
title = {Functional Estimation of the Random Rate of a Cox Process},
doi = {https://doi.org/10.1007/s11009-010-9173-z},
author = {Rodríguez Bouzas, Paula and Aguilera Del Pino, Ana María and Ruiz-Fuentes, Nuria},
}