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ASSESSING CAUSAL QUANTITIES FROM EXPERIMENTAL AND NONEXPERIMENTAL DATA

ASSESSING CAUSAL QUANTITIES FROM EXPERIMENTAL AND NONEXPERIMENTAL DATA

ASSESSING CAUSAL QUANTITIES FROM EXPERIMENTAL AND NONEXPERIMENTAL DATA. Judea Pearl Computer Science and Statistics UCLA www.cs.ucla.edu/~judea/. OUTLINE. From probability to causal analysis: The differences The barriers The benefits. Assessing the effects of actions and policies.

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966 views • 84 slides
REASONING WITH CAUSE AND EFFECT

REASONING WITH CAUSE AND EFFECT

REASONING WITH CAUSE AND EFFECT. Judea Pearl Department of Computer Science UCLA. OUTLINE. Modeling: Statistical vs. Causal Causal Models and Identifiability Inference to three types of claims: Effects of potential interventions Claims about attribution (responsibility)

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1.15k views • 81 slides
REASONING WITH CAUSE AND EFFECT

REASONING WITH CAUSE AND EFFECT

REASONING WITH CAUSE AND EFFECT. Judea Pearl Department of Computer Science UCLA. OUTLINE. Modeling: Statistical vs. Causal Causal Models and Identifiability Inference to three types of claims: Effects of potential interventions Claims about attribution (responsibility)

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953 views • 81 slides
REASONING WITH CAUSE AND EFFECT

REASONING WITH CAUSE AND EFFECT

REASONING WITH CAUSE AND EFFECT. Judea Pearl Department of Computer Science UCLA. OUTLINE. Modeling: Statistical vs. Causal Causal Models and Identifiability Inference to three types of claims: Effects of potential interventions Claims about attribution (responsibility)

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868 views • 73 slides
CAUSAL MODELING AND THE LOGIC OF SCIENCE

CAUSAL MODELING AND THE LOGIC OF SCIENCE

CAUSAL MODELING AND THE LOGIC OF SCIENCE. Judea Pearl Computer Science and Statistics UCLA www.cs.ucla.edu/~judea/. OVERVIEW Scope and Language in Scientific Theories. Statistical models ( observtions , PL ) Causal models 2.1 Stochastic causal model

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743 views • 64 slides

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