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

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

FromData & Science with Glen Wright Colopy


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

FromData & Science with Glen Wright Colopy

ratings:
Length:
70 minutes
Released:
May 19, 2021
Format:
Podcast episode

Description

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
Released:
May 19, 2021
Format:
Podcast episode

Titles in the series (88)

Data and Science with Glen Wright Colopy is a podcast covering critical scientific reasoning, particularly from a data science / machine learning / statistics perspective. Episodes typically focus on understanding of how to be better scientists and critical thinkers for the practical purpose of being a better data scientists. Previously called: ”Pod of Asclepius”