On determinantal point processes with nonsymmetric kernels
On determinantal point processes with nonsymmetric kernels
Determinantal point processes (DPPs for short) are a class of repulsive point processes. They have found some statistical applications to model spatial point pattern datasets with repulsion between close points. In the case of DPPs on finite sets, they are defined by a matrix called the DPP kernel which is …