时变泊松的Cramer-Rao界

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Pub Date : 2022-05-23 DOI:10.1109/ICASSP43922.2022.9746658

Xinhui Rong, V. Solo

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摘要

点处理在神经科学、基因组学和社交媒体上的应用越来越多。但基本的建模特性研究很少。本文考虑一个周期时变泊松模型，并给出渐近的Cramer-Rao界。我们还首次提出了一种参数估计的极大似然算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Cramer-Rao Bound for the Time-Varying Poisson

Point processes are finding increasing applications in neuroscience, genomics, and social media. But basic modelling properties are little studied. Here we consider a periodic time-varying Poisson model and develop the asymptotic Cramer-Rao bound. We also develop, for the first time, a maximum likelihood algorithm for parameter estimation.

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ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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