7 papers
Parameter inference for partially observed branching processes
Simone Baldassarri, Michel Mandjes, Jiesen Wang
In this paper, we study an age-dependent branching process. In the simplest setting, the population is divided into two age groups, namely juveniles and adults. Our objective is to…
Analysis of a maximum-entropy based estimator for dynamic random graph models
Diego Garlaschelli, Michel Mandjes, Frank P. Pijpers +1
We study dynamic random graphs in which the set of nodes is fixed, but edges evolve over time according to an underlying stochastic mechanism. Using a maximum-entropy approach, we…
Parameter estimation in interacting particle systems on dynamic random networks
Simone Baldassarri, Jiesen Wang
In this paper we consider a class of interacting particle systems on dynamic random networks, in which the joint dynamics of vertices and edges acts as one-way feedback, i.e., edge…
Estimation of on- and off-time distributions in a dynamic ErdÅs-Rényi random graph
Michel Mandjes, Jiesen Wang
In this paper we consider a dynamic ErdÅs-Rényi graph in which edges, according to an alternating renewal process, change from present to absent and vice versa. The objective is…
Parameter estimation in a dynamic Chung-Lu random graph
Rajat Subhra Hazra, Michel Mandjes, Jiesen Wang
In this paper we consider a dynamic version of the Chung-Lu random graph in which the edges alternate between being present and absent. The main contribution concerns a technique b…
Uncovering the topology of an infinite-server queueing network from population data
Hritika Gupta, Michel Mandjes, Liron Ravner +1
This paper studies statistical inference in a network of infinite-server queues, with the aim of estimating the underlying parameters (routing matrix, arrival rates, parameters per…