List: Causal Inference | Curated by Bruno Gonçalves

Feb 27, 2022
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Causal Inference
Bruno Gonçalves
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Data For Science
Causal Inference — Part XV — MediationThis is the fifteenth post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea Pearl…
Feb 14, 2021
Feb 14, 2021
Bruno Gonçalves
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Data For Science
Causal Inference — Part XIV — Inverse Probability WeighingThis is the fourteenth post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea…
Dec 20, 2020
1
Dec 20, 2020
1
Bruno Gonçalves
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Data For Science
Causal Inference — Part XIII — Conditional Interventions and Covariate-Specific EffectsThis is the thirteenth post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea…
Dec 6, 2020
1
Dec 6, 2020
1
Bruno Gonçalves
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Data For Science
Causal Inference — Part XII — Front-door CriterionThis is the twelveth    post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea…
Nov 15, 2020
2
Nov 15, 2020
2
Bruno Gonçalves
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Data For Science
Causal Inference — Part XI — Backdoor criterionThis is the eleventh post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea Pearl…
Nov 8, 2020
1
Nov 8, 2020
1
Bruno Gonçalves
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Data For Science
Causal Inference — Part X — The Adjustment FormulaThis is the tenth post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea Pearl…
Nov 1, 2020
Nov 1, 2020
Bruno Gonçalves
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Data For Science
Causal Inference — Part IX — InterventionsThis is the ninth post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea Pearl…
Oct 18, 2020
Oct 18, 2020
Bruno Gonçalves
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Data For Science
Causal Inference — Part-VIII-Model Testing and Causal SearchThis is the eighth post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea Pearl…
Oct 11, 2020
Oct 11, 2020
Bruno Gonçalves
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Data For Science
Causal Inference — Part VII — d-separationThis is the seventh post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea Pearl…
Sep 13, 2020
5
Sep 13, 2020
5
Bruno Gonçalves
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Data For Science
Causal Inference — Part VI — CollidersThis is the fifth post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea Pearl…
Sep 6, 2020
Sep 6, 2020
Bruno Gonçalves
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Data For Science
Causal Inference — Part V — Chains, and ForksThis is the fifth post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea Pearl…
Aug 16, 2020
Aug 16, 2020
Bruno Gonçalves
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Data For Science
Causal Inference — Part IV — Structural Causal ModelsThis is the forth post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea Pearl…
Jul 25, 2020
Jul 25, 2020
Bruno Gonçalves
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Data For Science
Causal Inference Part III — GraphsThis is the third post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea Pearl…
Jul 18, 2020
Jul 18, 2020
Bruno Gonçalves
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Data For Science
Causal Inference — Part II — Probability TheoryThis is the second post on the series we work our way through “Causal Inference In Statistics” a nice Primer co-authored by Judea Pearl…
Feb 23, 2020
1
Feb 23, 2020
1
Bruno Gonçalves
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Data For Science
Causal Inference — Part IHow do causes lead to effects? Can you associate the cause leading to the observed effect? Big Data opens the doors for us to be able to…
Feb 2, 2020
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Feb 2, 2020
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