Course on Information Theory, Pattern Recognition, and Neural Networks

Lecture 10: An Introduction To Bayesian Inference (II): Inference Of Parameters And Models

author: David MacKay, University of Cambridge
author: David MacKay, University of Cambridge
produced by: David MacKay (University of Cambridge)
published: Nov. 5, 2012, recorded: May 2012, views: 774

Slides

Slides
0:00	Inference Of Parameters And Models (1)
0:19	Inferring Parameters In Science Experiments (1)
0:39	Inferring Parameters In Science Experiments (2)
1:52	Inferring Parameters In Science Experiments (3)
3:03	Inferring Parameters In Science Experiments (4)
3:37	Inferring Parameters In Science Experiments (5)
3:46	Inferring Parameters In Science Experiments (6)
5:01	Inferring Parameters In Science Experiments (7)
6:01	Inferring Parameters In Science Experiments (8)
7:12	Inferring Parameters In Science Experiments (8)
8:27	Inferring Parameters In Science Experiments (9)
10:32	Inferring Parameters In Science Experiments (10)
12:26	Inferring Parameters In Science Experiments (11)
13:19	Histogram (1)
13:41	Histogram (2)
14:04	Inferring Parameters In Science Experiments (12)
17:05	Inferring Parameters In Science Experiments (13)
19:09	Inferring Parameters In Science Experiments (14)
19:43	Inferring Parameters In Science Experiments (15)
21:28	Inferring Parameters In Science Experiments (16)
21:44	Inferring Parameters In Science Experiments (17)
23:22	Goodness Of Fit (1)
26:00	Other Ideas
26:39	The Answer Using Bayes's Theorem (1)
26:46	The Answer Using Bayes's Theorem (2)
26:54	The Answer Using Bayes's Theorem (3)
27:48	The Answer Using Bayes's Theorem (4)
27:54	The Answer Using Bayes's Theorem (5)
28:32	The Answer Using Bayes's Theorem (6)
29:06	The Answer Using Bayes's Theorem (7)
29:44	The Answer Using Bayes's Theorem (8)
30:05	The Answer Using Bayes's Theorem (9)
30:39	The Answer Using Bayes's Theorem (10)
30:54	The Answer Using Bayes's Theorem (11)
31:49	The Answer Using Bayes's Theorem (12)
33:12	The Answer Using Bayes's Theorem (13)
33:39	The Answer Using Bayes's Theorem (14)
38:45	The Answer Using Bayes's Theorem (15)
39:51	The Answer Using Bayes's Theorem (16)
40:29	The Answer Using Bayes's Theorem (13)
41:54	Bayesian Answer, Alternate Data Set (1)
42:39	Mixture Of Two Exponentials? (1)
44:34	Inference Mixture Of Exponentials (1)
45:56	Inference Mixture Of Exponentials (2)
47:57	Model Comparison (1)
50:34	Inference Mixture Of Exponentials (3)
51:07	Inference Mixture Of Exponentials (4)
51:40	Inference Mixture Of Exponentials (2)
52:20	Inference Mixture Of Exponentials (5)
54:49	Inference Mixture Of Exponentials (6)
55:41	Inference Mixture Of Exponentials (7)
56:28	Inference Mixture Of Exponentials (8)
57:57	Data Plot (1)
58:38	Likelihood Function Plot (1)
58:42	Likelihood Function Plot (2)
58:51	Maximum Likelihood Distribution Plot (1)
59:21	Maximum Likelihood Distribution Plot (2)
59:56	Maximum Likelihood Distribution Plot (3)
60:44	Data Plot (2)
61:16	Likelihood Function Plot (3)
61:21	Likelihood Function Plot (4)
61:26	Maximum Likelihood Distribution Plot (4)
61:35	Maximum Likelihood Distribution Plot (5)
61:39	Likelihood Plot (0)
62:47	Likelihood Plot (1)
63:29	Likelihood Plot (2)
64:27	Marginal Likelihood Of Parameters Plot (1)
64:47	Marginal Likelihood Of Parameters Plot (2)
64:51	Marginal Likelihood Of Parameters Plot (3)
65:13	Posterior Distribution Plot (1)
66:03	Maximum Likelihood Model (1)
67:04	Dataset 3-8 Points
70:28	Likelihood Plot (3)
70:48	Likelihood Plot (4)
70:53	Likelihood Plot (5)
71:17	Posterior Distribution Plot (2)
71:24	Maximum Likelihood Model (2)
72:29	Clustering (1)
72:46	Clustering (2)
73:40	Recommended Homework

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