InData For SciencebyBruno GonçalvesCausal 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, 2021Feb 14, 2021
InData For SciencebyBruno GonçalvesCausal 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, 20201Dec 20, 20201
InData For SciencebyBruno GonçalvesCausal 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, 20201Dec 6, 20201
InData For SciencebyBruno GonçalvesCausal 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, 20202Nov 15, 20202
InData For SciencebyBruno GonçalvesCausal 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, 20201Nov 8, 20201
InData For SciencebyBruno GonçalvesCausal 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, 2020Nov 1, 2020
InData For SciencebyBruno GonçalvesCausal 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, 2020Oct 18, 2020
InData For SciencebyBruno GonçalvesCausal 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, 2020Oct 11, 2020
InData For SciencebyBruno GonçalvesCausal 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, 20205Sep 13, 20205
InData For SciencebyBruno GonçalvesCausal 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, 2020Sep 6, 2020
InData For SciencebyBruno GonçalvesCausal 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, 2020Aug 16, 2020
InData For SciencebyBruno GonçalvesCausal 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, 2020Jul 25, 2020
InData For SciencebyBruno GonçalvesCausal 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, 2020Jul 18, 2020
InData For SciencebyBruno GonçalvesCausal 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, 20201Feb 23, 20201
InData For SciencebyBruno GonçalvesCausal 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, 20202Feb 2, 20202