In this paper, we tackle a critical issue in nonparametric inference for...
We consider the nonlinear inverse problem of learning a transition opera...
The Coronavirus Disease 2019 (COVID-19) has posed a severe threat to glo...
Large scale dynamics of the oceans and the atmosphere are governed by th...
Marginalization of latent variables or nuisance parameters is a fundamen...
Heat diffusion processes have found wide applications in modelling dynam...
Interacting particle or agent systems that display a rich variety of
col...
In this paper, we study the nonlinear inverse problem of estimating the
...
Modeling the complex interactions of systems of particles or agents is a...
We consider stochastic systems of interacting particles or agents, with
...
Identifiability is of fundamental importance in the statistical learning...
Systems of interacting particles or agents have wide applications in man...
Inferring the laws of interaction between particles and agents in comple...