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Consumption model calibration and related statistical problems

机译:消费模型校准和相关统计问题

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In this paper, we will discuss a problem pertinent to many situations in which a statistical model is developed on a sample of individuals (describing their trajectories), but then it is applied on a much larger population of interest. Typical examples occur in natural gas and other energy consumption contexts. Due to various deficiencies of the original sample-only based model, due to possible inconsistencies between sample and the population as a whole, and/or due to inherently different nature of the available sample and populational data (their measurement, error properties, etc.), calibration arises as a natural way to improve original model. We will introduce a formal and flexible, time-varying statistical model of state-space nature, from which such a calibration will come out as one of the products.
机译:在本文中,我们将讨论与许多情况相关的问题,其中统计模型在个人样本(描述其轨迹)上,但随后它适用于更大的兴趣人群。 典型的例子在天然气和其他能量消耗背景下出现。 由于基于原始采样的模型的各种缺陷,由于样品和整体人口之间可能的不一致,和/或由于可用样本和群体数据的固有不同性质(其测量,误差属性等而导致的 ),校准是一种改善原始模型的自然方式。 我们将介绍正式和灵活,时变的状态空间性质的统计模型,从中出现这种校准将作为其中一种产品出来。

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