Model neurons were simulated in enough de... RD Traub,R Miles,RK Wong,... - 《Journal of Neurophysiology》 被引量: 255发表: 1987年 Generalized Theorems for Nonlinear State Space Reconstruction Takens' theorem (1981) shows how lagged variables of a single time series can be used as proxy ...
Time-series prediction has been very well researched by both the Statistical and Data Mining communities. However the multiple time-series problem of predi... H Widiputra,R Pears,N Kasabov - Advances in Knowledge Discovery & Data Mining-pacific-asia Conference 被引量: 37发表: 2011年 Mixture ...
Multidimensional psychiatric time-series data were decomposed into orthogonal principal components. The top four components explained ~60% of the variance (PC1: 24.1%, PC2: 14.3%, PC3: 11.0%, PC4: 10.6%, in total 59.9%), so we analyzed those further. Principal component 1 (PC1) included ...
Now as the number of series has increased, it is preferable to either use a for loop, foreach, batch script or commandArgs() to run one script and specify all time series as arguments. To make that work though, the script must find a way to assign these object...
Measures of linear dependence and feedback for multiple time series are defined. The measure of linear dependence is the sum of the measure of linear feedback from the first series to the second, linear feedback from the second to the first, and instantaneous linear feedback. The measures are...
The concept of Granger-causality is formulated for a finite-dimensional multiple time series. Special attention is given to causality patterns in autoregressive series, and it is shown how these patterns can be tested under quite general assumptions using a χ 2 statistic. The power of the test ...
Multiple data typesMultiple time-seriesBoosted by a strong solar power market,the electricity grid is exposed to risk under an increasing share of fluctuant solar power.To increase the stability of the electricity grid,an accurate solar power forecast is needed to evaluate such fluctuations.In terms...
In summary, when the process noise is multiple-step correlated, q recursive terms Nk,τ(τ=q−1,...,1) and Tk,q need to be added to compute the time-update; namely, the global one-step prediction as well as its associated error covariance. Then, the measurement-update is the ...
This work investigates the online multiple time series search problem. Given a storage with finite capability, a player receives one product for sale and observes a selling price as well at each period. With the knowledge that prices in all periods vary within [m,M] (0<m<M), the player ...
Time series analysis of multiple structural breaks in the Malaysian economy and the vast expansion in infrastructure in 1997, which is also coinciding with the effect of Asian 1973 and 1980 respectively; the deep recession in 1985-1986 and the adverse effects of the 1986,and then the Asian fina...