New methods revolutionize estimating causal effects from observational data!
Causal inference is a hot topic in many fields like statistics and economics. Researchers are looking at ways to figure out cause and effect relationships from data without doing expensive experiments. They've come up with different methods, some using traditional stats and others using new machine learning techniques. These methods can be used in areas like advertising, medicine, and more. There are also datasets and codes available for others to use and test these methods.