The significant time‐lagged correlations were confirmed by regressing sea surface temperature (SST) in the Pacific and Indian Oceans and 850‐hPa zonal wind (U850) upon the PC1. We propose an area‐averaged SST, U850, or the combination of these variables at each corresponding best location...
Furthermore, the satellite-retrieved snowfall rate shows much stronger correlation with the time-lagged surface snowfall rate than the simultaneous snowfall rate in cold environments and for tall storms. This work implies that the time of the level-2 swath-retrieved snowfall rate needs to shift ...
An ordered lasso and sparse time-lagged regression. arXiv preprint arXiv:1405.6447 URL http://arxiv.org/abs/1405.6447 (2014). Rousseeuw, P. J. Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53–65; 10.1016/0377-0427(87...
Detrended time-lagged cross-correlation analysis between time series is studied.Time-lagged DCCA cross-correlation coefficient is defined and applied in meteorology.ρ(n,τ,R,R′) is attributed to time delay effect and ρDCCA.Contribution to ρ(n,τ,R,R′) from ρDCCA is greater for τ<n ...
1) time-lagged one-point correlation 一点滞后相关2) delay-dependent 滞后相关 1. Delay-dependent H_∞ feedback control for linear discrete time-delay system; 线性离散时滞系统滞后相关型H_∞状态反馈控制 2. Based on Lyapunov functional method,the problem about the delay-dependent memoryless feed...
Incorporating temporal effects in a staggered research design and using structural equation modeling techniques, our findings provide support for the conventional positive correlation between empowerment and subsequent performance. Moreover, accounting for the temporal stability of variables over time, we ...
To address this, we propose an imputation method (FLk-NN) that incorporates time lagged correlations both within and across variables by combining two imputation methods, based on an extension to k-NN and the Fourier transform. This enables imputation of missing values even when all data at a...
Predictable Component Analysis, Canonical Correlation Analysis, and Autoregressive Models. -order, autoregressive model are identical to the canonical patterns that optimize the temporal correlation between the original and time-lagged time series. ... DelSole,Timothy,Chang,... - 《Journal of the Atmos...
Cross-correlation analysis is the most valuable and widely used statistical tool for evaluating the strength and direction of time-lagged relationships between ecological variables. Although it is well understood that temporal autocorrelation can inflate estimates of cross correlations and cause high rates...
The set of predictors includes lagged values of inflation, a host of real activity data, term structure data, nominal data and surveys. In each of the individual specifications we allow for stochastic breaks in regression parameters, where the breaks are described as occasional shocks of random ...