Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series

<p>Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series</p> <p>Mike Evans (University of Toronto) describes his approach to statistical reasoning. Mike outlines how to recognize and address problems that are statistical in nature and why these approaches should be grounded in our ability to measure statistical evidence. </p> <p> </p> <p>Watch it on YouTube at: https://youtu.be/Q7JpGZxHxXU</p> <p> </p> <p>0:00 Statistical Reasoning 2:30 The Basic Problem: Reasoning on Statistical Problems 13:00 Rules of Statistical Inference 19:30 Bias (The Controversial Bit?!?!) 24:10 Steps of Statistical Reasoning 25:50 Connection to Philosophy of Science 27:35 Measuring Evidence (Frequentist vs Bayesian vs Loss Function) 29:49 Problems with the p-values 32:00 Choosing & Checking Priors 49:25 Idealism, Good Plans, Bad Plans 54:45 Describing Your Reasoning 59:20 Critiques of the Principle of Evidence 1:04:00 Data-Driven Science vs Hypothesis Driven Science</p>