Explores autocorrelation, periodicity, and spurious correlations in time series data, emphasizing the importance of understanding underlying processes and cautioning against misinterpretation.
Covers correlation and cross-correlations in air pollution data analysis, including time series, autocorrelations, Fourier analysis, and power spectrum.
Explores diffusion mechanisms in solids, including vacancy and interstitial mechanisms, correlation between jumps, and structural influences on diffusion.
