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Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series
Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series
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.
Watch it on YouTube at: https://youtu.be/Q7JpGZxHxXU
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
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By Glen Wright Colopy
5
77 ratings
Mike Evans | Statistical Reasoning & Evidence | Philosophy of Data Science Series
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.
Watch it on YouTube at: https://youtu.be/Q7JpGZxHxXU
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