2014년 제9회 통계세미나 개최 안내
통계연구소에서는 다음과 같이 통계 세미나를 개최하오니 많은 참여 바랍니다.
일시: 2014년 9월 18일 (목) 오후 5시
장소: 고려대학교 정경관 508호
연사: 조성일 박사 (고려대학교 통계학과 연구교수)
Dependent Species Sampling Models for Spatial Density Estimation
<Abstract>
We consider a novel Bayesian nonparametric model for density estimation with an underlying spatial structure. The model is built on a class of species sampling models, which are discrete random probability measures that can be represented as a mixture of random support points and random weights. Specifically, we construct a collection of spatially dependent species sampling models and propose a mixture model based on this collection. The key idea is the introduction of spatial dependence by modeling the weights through a conditional autoregressive model (Sun et al.; 1999). We present an extensive simulation study to compare the performance of the proposed model with competitors based on a Dirichlet process without dependence. The proposed model compares favorably to these alternatives. We apply the method to the estimation of summer precipitation density functions using Climate Prediction Center Merged Analysis of Precipitation data over the Korean peninsula.
Key words and phrases: Climate Prediction, Conditional autoregressive model, Spatial density estimation, Species sampling model.
고려대학교 통계연구소