In this paper we develop a stochastic calculus with respect to a Gaussian process of the
form $B_t = \int^t_0 K(t, s)\, dW_s$, where $W$ is a Wiener process and $K(t, s)$ is a square …

Most species are structured and influenced by processes that either increased or reduced
gene flow between populations. However, most population genetic inference methods …

… Since for H≠ 1 2 the fBm is not a semimartingale we cannot use the classical It o ̂ calculus…
The Skorohod integral is an extension of the It o ̂ integral in the sense that the set L a 2 ([0,T…

… In the present study we (i) extend the work of Mazet et al. (2016) by expliciting how the IICR
can be … We are also grateful to O. Hardy, A. Eriksson and two anonymous reviewers for useful …

The rapid development of sequencing technologies represents new opportunities for
population genetics research. It is expected that genomic data will increase our ability to …

A significant part of eukaryotic noncoding DNA is viewed as the passive result of mutational
processes, such as the proliferation of mobile elements. However, sequences lacking an …

Inferring the demographic history of species is one of the greatest challenges in populations
genetics. This history is often represented as a history of size changes, ignoring population …

… rate matrices and show how they can be used to compute the IICR of Mazet et al. (2016). …
to re-derive the analytical results of Mazet et al. (2016) on the IICR of the n-island model. …

In this letter, we study the effect of a unique initial stimulation on random recurrent networks
of leaky integrate-and-fire neurons. Indeed, given a stochastic connectivity, this so-called …

Background Quaternary climate fluctuations have been acknowledged as major drivers of
the geographical distribution of the extraordinary biodiversity observed in tropical biomes, …