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pro vyhledávání: '"Eilers, Paul H. C."'
Autor:
Gressani, Oswaldo, Eilers, Paul H. C.
P-splines are appealing for smoothing Poisson distributed counts. They provide a flexible setting for modeling nonlinear model components based on a discretized penalty structure with a relatively simple computational backbone. Under a Bayesian infer
Externí odkaz:
http://arxiv.org/abs/2406.03336
Hazard models are the most commonly used tool to analyse time-to-event data. If more than one time scale is relevant for the event under study, models are required that can incorporate the dependence of a hazard along two (or more) time scales. Such
Externí odkaz:
http://arxiv.org/abs/2305.09342
Autor:
Rodríguez-Álvarez, María Xosé, Durbán, María, Eilers, Paul H. C., Lee, Dae-Jin, Gonzalez, Francisco
P-spline models have achieved great popularity both in statistical and in applied research. A possible drawback of P-spline is that they assume a smooth transition of the covariate effect across its whole domain. In some practical applications, howev
Externí odkaz:
http://arxiv.org/abs/2010.03828
Publikováno v:
Statistics and Computing, 2018
We present a novel method for the estimation of variance parameters in generalised linear mixed models. The method has its roots in Harville (1977)'s work, but it is able to deal with models that have a precision matrix for the random-effect vector t
Externí odkaz:
http://arxiv.org/abs/1801.07278
Autor:
Frasso, Gianluca, Eilers, Paul H. C.
We present a model for direct semi-parametric estimation of the State Price Density (SPD) implied in quoted option prices. We treat the observed prices as expected values of possible pay-offs at maturity, weighted by the unknown probability density f
Externí odkaz:
http://arxiv.org/abs/1610.08665
Data analysed here derive from experiments conducted to study neurons' activity in the visual cortex of behaving monkeys. We consider a spatio-temporal adaptive penalized spline (P-spline) approach for modelling the firing rate of visual neurons. To
Externí odkaz:
http://arxiv.org/abs/1610.06860
A fast and stable algorithm for estimating multidimensional adaptive P-spline models is presented. We call it as Separation of Overlapping Penalties (SOP) as it is an extension of the \textit{Separation of Anisotropic Penalties} (SAP) algorithm. SAP
Externí odkaz:
http://arxiv.org/abs/1610.06861
Autor:
Andrinopoulou, Eleni-Rosalina, Eilers, Paul H. C., Takkenberg, Johanna J. M., Rizopoulos, Dimitris
In the field of cardio-thoracic surgery, valve function is monitored over time after surgery. The motivation for our research comes from a study which includes patients who received a human tissue valve in the aortic position. These patients are foll
Externí odkaz:
http://arxiv.org/abs/1609.03439
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