In Palm theory it is very common to consider several distributions to describe the characteristics of the system.To study a stationary marked point process, the time-stationary distribution P and its event-stationary Palm distributions P 0 L with respect to sets L of marks can all be used as starting point.When P is used, a modi ed, event-stationary version Q 0 L of P 0 L is de ned as the limit of an obvious discrete-time Ces aro average.In a sense this modi ed Palm distribution is more natural than the ordinary one.When a Palm distribution P 0 L 0 is taken as starting point, we can approximate another modi ed, event-stationary version of P 0 L by considering discrete-time Ces aro averages and a modi ed, time-stationary version QL of P by c...
We study the spectral measure for stationary transformations, and then apply to Ergodic theorem and ...
International audienceBifurcating Markov chains (BMC) are Markov chains indexed by a full binary tre...
AbstractWe consider a class of discrete parameter Markov processes on a complete separable metric sp...
In stationary point process theory, the concept Palm distribution plays an important role.Many impor...
In the context of stationary point processes measurements are usually made from a time point chosen ...
This paper relates – for point processes Φ on R – two types of asymptotic mean stationarity (AMS) pr...
A Hawkes process on $\mathbb{R}$ is a point process whose intensity function at time $t$ is a functi...
We consider spatially homogeneous marked point patterns in an unboundedly expanding convex sampling ...
Conservative ergodic measure preserving transformations on infinite measure spaces are considered. T...
This book provides an introduction to the theory and applications of point processes, both in time a...
A branching process counted by a random characteristic has been defined as a process which at time t...
summary:The author investigates non ergodic versions of several well known limit theorems for strict...
This work is about random measures stationary with respect to a possibly non-transitive group action...
For any point process in Rd that has a Papangelou conditional intensity λ, we define a random measur...
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in ...
We study the spectral measure for stationary transformations, and then apply to Ergodic theorem and ...
International audienceBifurcating Markov chains (BMC) are Markov chains indexed by a full binary tre...
AbstractWe consider a class of discrete parameter Markov processes on a complete separable metric sp...
In stationary point process theory, the concept Palm distribution plays an important role.Many impor...
In the context of stationary point processes measurements are usually made from a time point chosen ...
This paper relates – for point processes Φ on R – two types of asymptotic mean stationarity (AMS) pr...
A Hawkes process on $\mathbb{R}$ is a point process whose intensity function at time $t$ is a functi...
We consider spatially homogeneous marked point patterns in an unboundedly expanding convex sampling ...
Conservative ergodic measure preserving transformations on infinite measure spaces are considered. T...
This book provides an introduction to the theory and applications of point processes, both in time a...
A branching process counted by a random characteristic has been defined as a process which at time t...
summary:The author investigates non ergodic versions of several well known limit theorems for strict...
This work is about random measures stationary with respect to a possibly non-transitive group action...
For any point process in Rd that has a Papangelou conditional intensity λ, we define a random measur...
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in ...
We study the spectral measure for stationary transformations, and then apply to Ergodic theorem and ...
International audienceBifurcating Markov chains (BMC) are Markov chains indexed by a full binary tre...
AbstractWe consider a class of discrete parameter Markov processes on a complete separable metric sp...