Statistical inference is the process of using data to infer the [[Probability Distribution]] that generated the data. ^[Statistical inference is more or less what's called learning in [[Machine Learning]]?] If we *observe* $X_1, \dots, X_n \sim F$ we want to *infer* (ie *estimate* or *learn*) $F$ (or some feature of $F$ like the mean). ## Rough Notes ## References - [[All Of Statistics - Larry Wasserman]] - 7.1 - [Statistical Inference (7 videos) - zedstatistics - YouTube](https://www.youtube.com/playlist?list=PLTNMv857s9WU729gegxdW2e4wto2wEP4S) - [Non-parametric tests - Sign test, Wilcoxon signed rank, Mann-Whitney - YouTube](https://www.youtube.com/watch?v=IcLSKko2tsg) --- - Links: [[All Of Statistics - Larry Wasserman]] [[Statistics]] [[Machine Learning]] [[Statistical Learning]] - Created at: [[2021-09-26]]