The Method of Statistical Inferences for Figures Based on Feature Extraction and Uncertain Dynamics’ Prediction

Wei WANG

Abstract


One of the important tasks of mathematical statistics is statistical inference. With the appearance of big data, however, statistical inference faces new challenges, especially when people want to make inferences for figures, sounds and words, or for the mixture of such kinds of components. In this paper, by using the method of feature extraction and the method on the prediction of uncertain dynamics, we propose the method on mathematical inferences for figures, and something like that. We intend to provide some inspirations to extend the methods of statistical inference to the new fields, and hope the method can be further extended to the inferences for other kinds of data.

Keywords


Statistical inference, Big data, Figure/graph, Feature extraction, Prediction


DOI
10.12783/dtcse/mcsse2016/11005

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