Resumen de Nonstationary, nonparametric, nonseparable bayesian spatio-temporal modeling using kernel convolution of order based dependent dirichlet process

Moumita Das, Sourabh Bhattacharya

• In this work, using kernel convolution of order based dependent Dirichlet process (Grin and Steel (2006)) we construct a nonstationary, nonseparable, nonparametric space-time process, which, as we show, satis es desirable properties, and includes the stationary, separable, parametric processes as special cases.