'Causal information' diaporamas de présentation

DAGs intro with exercises 8h (reordered 4.5+3.5) DAG=Directed Acyclic Graph

DAGs intro with exercises 8h (reordered 4.5+3.5) DAG=Directed Acyclic Graph. Hein Stigum http://folk.uio.no/heins/ courses. Nov-15. Nov-15. Nov-15. Nov-15. Nov-15. H.S. H.S. H.S. H.S. 1. 1. 1. 1. 1. Agenda. Background DAG concepts Causal thinking, Paths Analyzing DAGs

1.76k views • 151 slides

DAGs intro, Epidemiology 8h DAG=Directed Acyclic Graph

DAGs intro, Epidemiology 8h DAG=Directed Acyclic Graph. Hein Stigum http://folk.uio.no/heins/ courses. Jan-17. Jan-17. Jan-17. Jan-17. Jan-17. H.S. H.S. H.S. H.S. 1. 1. 1. 1. 1. Agenda. DAG concepts Causal thinking, Paths Analyzing DAGs Examples

1.21k views • 109 slides

Market Research

Market Research. Objectives of Lecture on Market Research.

607 views • 44 slides

Bayesian network and its applications

Bayesian network and its applications. Jun Zhu Genetics Rosetta Inpharmatics Merck & Co. Outline. Methods Integration of genetics and gene expression Integration of data from multiple tissues Construction of causal graphic networks

590 views • 43 slides

Bayesian network and its applications

Bayesian network and its applications. Jun Zhu Genetics Rosetta Inpharmatics Merck & Co. Outline. Methods Integration of genetics and gene expression Integration of data from multiple tissues Construction of causal graphic networks

501 views • 43 slides

Bayesian network and its applications

Bayesian network and its applications. Jun Zhu Genetics Rosetta Inpharmatics Merck & Co. Outline. Methods Integration of genetics and gene expression Integration of data from multiple tissues Construction of causal graphic networks

432 views • 43 slides

CAUSES AND COUNTERFACTUALS OR THE SUBTLE WISDOM OF BRAINLESS ROBOTS

352 views • 24 slides

Causal Thinking and the Embedded Perspective

Causal Thinking and the Embedded Perspective. Jenann Ismael Centre for Time University of Sydney Jan. 9, 2009. Bertrand Russell.

266 views • 16 slides