@misc {pub4061,
	title = {Information-theoretic measures for interaction analysis and network reconstruction from time series},
	author = {Patricia Wollstadt},
	year = {2019},
	month = {July},
	abstract = {A central step for understanding, describing, and predicting global behavior of multivariate systems evolving over time is to analyze interactions between system components. In this talk, I will introduce recent measures from information theory that provide powerful tools for the analysis of such interactions from time-series data. Methods are model-free, robust to noise, require relatively few data points, are unsupervised, and are thus applicable to a variety of domains. I will discuss recent extensions of these measures and present example applications.},
	publisher = {Other},
	booktitle = {ECOLE Summer School}
}