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wavelet-HMM
- 基于小波域隐马尔可夫模型的时间序列分析_平滑_插值和预测-Based on Wavelet Domain Hidden Markov Model analysis of time series interpolation and forecasting _ smooth _
predict
- 时间序列模型，进行预测，是目前较流行且准确的一个方法，里面包含了2个相关方面的ppt，可供参考学习。-Time series model, forecasting, is a popular and accurate a method, there were two related PPT, available for reference to study.
LSM
- 该文档是最小二乘法进行时间序列预测使用的总结，针对不同的模型，而且还有相应的matlab实现代码。-This document is the least square method for time series prediction using summary, in view of the different model, and the corresponding matlab code.
hmm-tutorial
- The Hidden Markov Model (HMM) is a popular statistical tool for modelling a wide range of time series data. In the context of natural language processing(NLP), HMMs have been applied with great success to problems such as part-of-speech tagging a
AutoRegression
- AR自回归模型，主要介绍时间序列分析中重要的一个模型。-AR autoregression model, time series analysis introduces an important model.
Fractal-interpolation-RS
- Fractal interpolation model index time series analysis and R_S _ Wanghong Yong