Estimation and prediction for (mostly Gaussian) Markov fields in the continuum

L. Pitt
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Abstract

We present a survey of design problems and results that arise in the prediction and parameter estimation of stochastic partial differential equations (SPDES). The aim is to better understand some unavoidable errors that occur in the discretization of SPDEs, and available methods for minimizing these errors.
连续统中马尔可夫场的估计和预测(主要是高斯)
本文综述了随机偏微分方程(SPDES)的预测和参数估计中出现的设计问题和结果。目的是更好地理解在spde离散化过程中出现的一些不可避免的误差,以及最小化这些误差的可用方法。
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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