[MINI] Bayesian Updating

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[MINI] Bayesian Updating

FromData Skeptic

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Length:

11 minutes

Released:

Jun 27, 2014

Format:

Podcast episode

Description

In this minisode, we discuss Bayesian Updating - the process by which one can calculate the most likely hypothesis might be true given one's older / prior belief and all new evidence.

Released:

Jun 27, 2014

Format:

Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.

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[MINI] Bayesian Updating: In this minisode, we discuss Bayesian Updating - the process by which one can calculate the most likely hypothesis might be true given one's older / prior belief and all new evidence. by Data Skeptic
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$Jackson Pollock Authentication Analysis with Kate Jones-Smith: Our guest this week is Hamilton physics professor Kate Jones-Smith who joins us to discuss the evidence for the claim that drip paintings of Jackson Pollock contain fractal patterns. This hypothesis originates in a paper by Taylor, Micolich,...$
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[MINI] Bayesian Updating

[MINI] Bayesian Updating

Description

Titles in the series (100)

More Episodes from Data Skeptic