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Generalized normal-Laplace AR process

机译:广义法拉普拉斯AR过程

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摘要

We introduce an autoregressive process called generalized normal-Laplace autoregressive process with generalized normal-Laplace distribution [Reed, W. J., 2007. Brownian-Laplace motion and its use in financial modelling. Comm. Statist. Theory Methods, 36,473-484], as stationary marginal distribution. Various properties of the distribution and the processes are discussed. The innovation structure is derived and estimation of parameters is addressed. Sample path behaviour, distribution of sums and the joint distribution of contiguous observations, etc. are studied. An algorithm for the generation of the process is also given as appendix.
机译:我们介绍了一种具有广义正态-拉普拉斯分布的自回归过程,称为广义正态-拉普拉斯自回归过程[Reed,W. J.,2007. Brownian-Laplace运动及其在金融建模中的使用。通讯统计员。理论方法,[36,473-484],作为稳定的边际分布。讨论了分布和过程的各种属性。推导创新结构并解决参数估计问题。研究了样本路径行为,和分布以及连续观测的联合分布等。附录还给出了生成过程的算法。

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