Bruno GonçalvesinData For ScienceCausal 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…·4 min read·Feb 14, 2021----
Bruno GonçalvesinData For ScienceCausal 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…·4 min read·Dec 20, 2020--1--1
Bruno GonçalvesinData For ScienceCausal 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…·4 min read·Dec 6, 2020--1--1
Bruno GonçalvesinData For ScienceCausal 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…·5 min read·Nov 15, 2020--2--2
Bruno GonçalvesinData For ScienceCausal 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…·5 min read·Nov 8, 2020--1--1
Bruno GonçalvesinData For ScienceCausal 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…·6 min read·Nov 1, 2020----
Bruno GonçalvesinData For ScienceCausal 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…·6 min read·Oct 18, 2020----
Bruno GonçalvesinData For ScienceCausal 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…·5 min read·Oct 11, 2020----
Bruno GonçalvesinData For ScienceCausal 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…·8 min read·Sep 13, 2020--5--5
Bruno GonçalvesinData For ScienceCausal 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…·5 min read·Sep 6, 2020----
Bruno GonçalvesinData For ScienceCausal 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…·5 min read·Aug 16, 2020----
Bruno GonçalvesinData For ScienceCausal 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…·8 min read·Jul 25, 2020----
Bruno GonçalvesinData For ScienceCausal 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…·5 min read·Jul 18, 2020----
Bruno GonçalvesinData For ScienceCausal 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…·8 min read·Feb 23, 2020--1--1
Bruno GonçalvesinData For ScienceCausal 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…·5 min read·Feb 2, 2020--2--2