Motivated by spectral analysis of replicated brain signal time series, we propose a functional
mixed effects approach to model replicate-specific spectral densities as random curves …

Insurance companies develop loaded life tables to protect themselves against deviations, for
example, in the number of expected deaths or in the (residual) expectation of life of their …

In this thesis, we study statistical estimation and inference problems for scalar or
vectorvalued time series in terms of their second-order behavior. In a broad sense, a time …

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 …

A doubly stochastic process {x (b, t); b∊ B, t∊ Z} 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 …

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 …

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 …

A sample of objects is taken from a population and on each one, a time series is observed at
the same time points. We suppose that each time series is a realization of a stationary …

Two populations of objects are considered in such way that on each one a random signal
can be evaluated. This signal generally is a realization of a stationary process. In each …

This dissertation introduces and assesses an algorithm to generate confidence bands for a
regression function or a main effect when multiple data sets are available. In particular it …