Machine Learning Summer School 2009 - Cambridge

Causality

author:Phil Dawid, University of Cambridge
published: Nov. 2, 2009, recorded: September 2009, views: 214

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Slides

Slides
0:00	Statistical Casuality -1
3:28	Statistical Casuality -2
5:06	The Problems of Casual Inference
5:13	Concepts of Causality
8:26	Casual Queries
14:35	Causal Enquiry
18:49	Problems of observational studies -1
20:51	Problems of observational studies -2
21:58	Problems of observational studies -3
23:12	Problems of observational studies -4
23:39	Problems of observational studies -5
24:58	Simpsonn's Paradox
30:06	Causal Inference
33:58	Formal Frameworks for Statistical Causality
34:07	Some Formal Frameworks
37:47	A simple problem
40:20	Probability Model
43:33	Decision Tree
45:16	Structural Model
48:44	Potential Response Model
54:16	General Functional Model
58:13	Potential response Model
61:30	Potential Responses:Problems
64:36	Potential Responses: Problems
68:47	Observational study
69:53	Functional Model -1
72:55	Functional Model -2
73:53	Functional Model -3
75:56	PR interpretation -1
76:49	PR interpretation -2
77:31	Statistical Decision Model -1
80:56	Statistical Decision Model -2
82:00	Statistical Decision Model -3
83:53	Extended Conditional Independence
83:58	Statistical Decision Model -3
84:13	Extended Conditional Independence
86:23	Statistical Decision Model -3
86:31	Extended Conditional Independence

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