Educational ResearchResearch DesignTimeTrend AnalysisValidityThe promise of time-series designs for educational research and evaluation is reviewed. Ten time-series designs are presented and discussed in the context of threats to internal and external validity. The advantages and disadvantages of various ...
时序动量模型 Time Series Momentum (TSM) Model 与截面动量模型 Cross-Sectional Momentum (CSM) Model 时间序列分析和截面分析是在工业界alpha research中的两种基本分析方法. 回顾文献, 我们发现在简单的随机过程模型中就能看到两种现代的分析的思路特点和区别. 本文介绍 Lo and Mackinlay (1… 李明绘 Momentum ( ...
Machine Learning Research (eds Peters, J. & Sontag, D.) 1388–1397 (PMLR, 2020). Gerhardus, A. & Runge, J. High-recall causal discovery for autocorrelated time series with latent confounders. In Advances in Neural Information Processing Systems 34 (NeurIPS 2021) Vol. 33 (eds Larochelle,...
Acycle is a comprehensive, but "user-friendly" software package for analysis of time-series designed for (but not limited to) climate research and education. Acycle runs either in the MATLAB environment or as a stand-alone application on Mac and Windows. It is an open-source package and is...
Time series analysis has proven to be a powerful method to characterize several phenomena in biology, neuroscience and economics, and to understand some of their underlying dynamical features. Several methods have been proposed for the analysis of multiv
Reconstruction of attractor from time-series data was firstly proposed by Takens in 1981 based on the result by Whitney in 1936 Whitney (1936) who proved the possibility of embedding of a smooth manifold into a higher dimensional Euclid space. Hereafter we briefly introduce the basic theory of ...
Time-series processing is a major challenge in machine learning with enormous progress in the last years in tasks such as speech recognition and chaotic series prediction. A promising avenue for sequential data analysis is quantum machine learning, with
Time series simulations remain an active area of research—and a computationally demanding one—in many fields, including: Meteorology Finance Epidemiology Quantum chemistry Plasma physics In some of these cases, the fundamental rules of behavior are well understood, but it can still be ...
DesignSOM-VAEfor interpretable discrete representation learning on time series, and show that the latent probabilistic model in the representation learning architecture improves clustering and interpretability of the representations on time series 针对时间序列上的可解释离散表示学习设计了SOM-VAE,并表明在表示学...
Link analysis is a key technology in contemporary web search engines. Most of the previous work on link analysis only used information from one snapshot of web graph. Since commercial search engines crawl the Web periodically, they will naturally obtain time series data of web graphs. The ...