主  題: Testing for Structural Breaks in Spatial Trends

內(nèi)容簡(jiǎn)介:  Non-stationary spatial models are widely applicable in diverse disciplines, ranging from bio-medical sciences to geophysical studies. In many of theses applications, testing for structural changes in the trend and testing the specific form of the trend are highly relevant. A novel statistics based on a discrepancy measure over small regions is proposed in this paper. Such a measure can be used to construct tests for structural trends and to identify change boundaries of the trends. By virtue of the m-dependence approximation of a stationary random field, asymptotic properties and limit distributions of these tests are established. The method is illustrated by   simulations and data analysis.    

報(bào)告人: 張榮茂      教授
時(shí)  間: 2018-01-03    15:00

地  點(diǎn): 竟慧東樓302

舉辦單位: 理學(xué)院  統(tǒng)計(jì)科學(xué)與大數(shù)據(jù)研究院