شماره ركورد كنفرانس :
5274
عنوان مقاله :
Anisotropic log Gaussian Cox processes using normal variance mixture covariance function
عنوان به زبان ديگر :
Anisotropic log Gaussian Cox processes using normal variance mixture covariance function
پديدآورندگان :
Nasirzadeh Fariba nasirzadeh_fariba@yahoo.com Jahrom University , Shishebor Zohreh shisheb@shirazu.ac.ir Shiraz University , Mateu Jorge mateu@mat.uji.es University Jaume I
كليدواژه :
Anisotropy , Clustering , Covariance function , K , function , Log Gaussian Cox processes , Normal variance mixture
عنوان كنفرانس :
چهارمين سمينار آمار فضايي و كاربردهاي آن
چكيده فارسي :
In this paper, we introduce a new family of anisotropic log Gaussian Cox processes (LGCPs) that is useful to model spatial anisotropic point patterns that depict a degree of clustering. Our idea lies in building a new family of anisotropic LGCP using the normal variance mixture covariance function. We describe the moment properties of our new model. Finally, the estimation procedure is evaluated through a simulation study.
