We consider the problem of finding the initial vertex (Adam) in a
Barabá...
Multivariate Hawkes processes are temporal point processes extensively
a...
In this paper, we deal with nonparametric regression for circular data,
...
Functional Principal Component Analysis is a reference method for dimens...
This paper studies the estimation of the conditional density f (x, ×)
of...
Multivariate point processes are widely applied to model event-type data...
We focus on the estimation of the intensity of a Poisson process in the
...
We are interested in reconstructing the initial condition of a non-linea...
Kernel density estimation is a well known method involving a smoothing
p...
This paper studies nonparametric estimation of parameters of multivariat...
We consider a stochastic individual-based model in continuous time to
de...