Uncertain Temporal Regression Models

摘要：

In this paper, we propose an uncertain canonical process temporal regression model. The simple model can be used to address the parametric estimation problem for the arithmetic process and geometric canonical process. The uncertain temporal model is a weighted regression with the intrinsic autocovariance matrix of the uncertain canonical, which may be treated as a priori.

关键词： Uncertain measure Lipschitz continuity uncertain canonical process weighted temporal regression model

作者: Renkuan Guo Danni Guo Yanhong Cui Wei Dai

作者单位: University of Cape Town, Private Bag, Rondebosch 7701, Cape Town, South Africa South African National Biodiversity Institute, Kirstenbosch, Cape Town, South Africa Central University of Finance and Economics, Beijing, China

会议类型: 国际会议

会议名称: The Second International Conference on Uncertainty Theory(ICUT)(第二届不确定理论国际会议)

会议地点: 拉萨

会议语种:英文

页码: 73-79

在线出版日期: 2011-08-06（万方平台首次上网日期，不代表论文的发表时间）