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How Random is a Coin Toss? Bayesian Inference and the Symbolic Dynamics of Deterministic Chaos
Published on Feb 25, 20076690 Views
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Chapter list
How Random is a Coin Toss?00:03
Sources of Randomness00:24
A model of measurement01:14
Modeling chaotic time series01:55
Our model data source03:02
Rossler Attractor03:43
Rossler Attractor04:17
Rossler Attractor05:00
Rossler Attractor05:26
Rossler Attractor06:20
Rossler Attractor06:41
Designing an instrument07:11
Symbolic Dynamics08:03
Choose a partition P08:46
Testing the resulting partition09:43
Bayes’ Theorem10:27
Likelihood11:16
Prior12:04
Evidence12:28
Posterior12:54
Model comparison13:45
Estimating hì14:13
Estimating hì15:31
An experiment16:39
Methods17:13
Instrument design17:50
Model Inference19:35
Conclusion20:20