【摘 要】
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In this paper, we discuss the relationship between the stationary marginal tail probability and the innovations tail probability of nonlinear autoregressive
【机 构】
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SchoolofStatistics,RenminUniversityofChina
【出 处】
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IMS-China International Conference on Statistics and Probabi
论文部分内容阅读
In this paper, we discuss the relationship between the stationary marginal tail probability and the innovations tail probability of nonlinear autoregressive models.We show that under certain conditions to ensure the stationarity and ergodicity, one dimension stationary marginal distribution has the heavy-tailed probability property with the same index as the iunovations tail probability has.
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