MathsGee Answers - Recent questions tagged causal
https://mathsgee.com/tag/causal
Powered by Question2AnswerAs a data scientist, how can I determine a causal association between revenue and changes/updates in our app ?
https://mathsgee.com/26182/scientist-determine-association-between-changes-updates
As a data scientist, how can I determine a causal association between revenue and changes/updates in our app ?Data Sciencehttps://mathsgee.com/26182/scientist-determine-association-between-changes-updatesFri, 09 Apr 2021 03:04:16 +0000Is there a way to grasp the correct causal structure on the basis of observation and without presupposing dispensable causal knowledge?
https://mathsgee.com/26098/structure-observation-presupposing-dispensable-knowledge
<p>Is there a way to grasp the correct causal structure on the basis of observation and without presupposing dispensable causal knowledge (this may be knowledge that the cause occurs earlier than its effect or knowledge about how to intervene on specific parameters without directly manipulating some of the other parameters of the system under investigation)?</p>
<p><img alt="" src="https://mathsgee.com/?qa=blob&qa_blobid=9560031641637225613" style="height:443px; width:600px"></p>Data Sciencehttps://mathsgee.com/26098/structure-observation-presupposing-dispensable-knowledgeTue, 06 Apr 2021 05:44:18 +0000How can I compute counterfactuals, given a parametric model for the structural equation for the outcome?
https://mathsgee.com/26097/icompute-counterfactuals-parametric-structural-equation
How can I compute counterfactuals, given a parametric model for the structural equation for the outcome?Data Sciencehttps://mathsgee.com/26097/icompute-counterfactuals-parametric-structural-equationMon, 05 Apr 2021 23:40:29 +0000What is the difference between structural and parametric interventions?
https://mathsgee.com/26092/difference-between-structural-parametric-interventions
What is the difference between structural and parametric interventions?Data Sciencehttps://mathsgee.com/26092/difference-between-structural-parametric-interventionsMon, 05 Apr 2021 23:34:36 +0000How we can identify the causal graph in the nonlinear additive noise setting?
https://mathsgee.com/26091/how-identify-causal-graph-nonlinear-additive-noise-setting
How we can identify the causal graph in the nonlinear additive noise setting?Data Sciencehttps://mathsgee.com/26091/how-identify-causal-graph-nonlinear-additive-noise-settingMon, 05 Apr 2021 23:32:03 +0000How can we can identify the causal graph in the linear non-Gaussian setting?
https://mathsgee.com/26090/how-can-can-identify-the-causal-graph-linear-gaussian-setting
How can we can identify the causal graph in the linear non-Gaussian setting?Data Sciencehttps://mathsgee.com/26090/how-can-can-identify-the-causal-graph-linear-gaussian-settingMon, 05 Apr 2021 23:31:00 +0000When we using the PC algorithm to learn the essential graph, if there are no immoralities in the true graph, then all of the edges are undirected. Is that correct?
https://mathsgee.com/26089/algorithm-learn-essential-immoralities-undirected-correct
When we using the PC algorithm to learn the essential graph, if there are no immoralities in the true graph, then all of the edges are undirected. Is that correct?Data Sciencehttps://mathsgee.com/26089/algorithm-learn-essential-immoralities-undirected-correctMon, 05 Apr 2021 23:29:37 +0000How is the PC algorithm used for independence-based causal discovery?
https://mathsgee.com/26088/how-the-algorithm-used-independence-based-causal-discovery
How is the PC algorithm used for independence-based causal discovery?Data Sciencehttps://mathsgee.com/26088/how-the-algorithm-used-independence-based-causal-discoveryMon, 05 Apr 2021 23:29:03 +0000How is causal analysis different from regression analysis?
https://mathsgee.com/26087/how-is-causal-analysis-different-from-regression-analysis
How is causal analysis different from regression analysis?Data Sciencehttps://mathsgee.com/26087/how-is-causal-analysis-different-from-regression-analysisMon, 05 Apr 2021 23:26:08 +0000Given a graph where Y is a children of T, how can we apply the unconfounded children criterion? In such cases, do we consider that Y is an ancestor of itself?
https://mathsgee.com/26083/children-unconfounded-children-criterion-consider-ancestor
Given a graph where Y is a children of T, how can we apply the unconfounded children criterion? In such cases, do we consider that Y is an ancestor of itself?Data Sciencehttps://mathsgee.com/26083/children-unconfounded-children-criterion-consider-ancestorMon, 05 Apr 2021 23:18:11 +0000Is there an optimal algorithm for applying do-calculus to identity causal effect most efficiently? If yes, what is the computational cost? Are there any other variants of do-calculus?
https://mathsgee.com/26082/algorithm-applying-identity-efficiently-computational-calculus
Is there an optimal algorithm for applying do-calculus to identity causal effect most efficiently? If yes, what is the computational cost? Are there any other variants of do-calculus?Data Sciencehttps://mathsgee.com/26082/algorithm-applying-identity-efficiently-computational-calculusMon, 05 Apr 2021 23:17:06 +0000Can the frontdoor adjustment be interpreted as a mediation role M on the causal effect of Y on X？
https://mathsgee.com/26081/frontdoor-adjustment-interpreted-mediation-causal-effect
Can the frontdoor adjustment be interpreted as a mediation role M on the causal effect of Y on X？or an indirect causal association between Y and X？Data Sciencehttps://mathsgee.com/26081/frontdoor-adjustment-interpreted-mediation-causal-effectMon, 05 Apr 2021 23:15:42 +0000how do we detect the true causal graph in real life problems? How to know whether a variable is collider?
https://mathsgee.com/26079/detect-causal-graph-problems-know-whether-variable-collider
how do we detect the true causal graph in real life problems? How to know whether a variable is collider?Data Sciencehttps://mathsgee.com/26079/detect-causal-graph-problems-know-whether-variable-colliderMon, 05 Apr 2021 23:13:31 +0000What modification can we make to the potential outcomes code to eliminate the effect of collider bias and reduce the error ?
https://mathsgee.com/26078/modification-potential-outcomes-eliminate-collider-reduce
What modification can we make to the potential outcomes code to eliminate the effect of collider bias and reduce the error ?Data Sciencehttps://mathsgee.com/26078/modification-potential-outcomes-eliminate-collider-reduceMon, 05 Apr 2021 23:12:45 +0000How do you apply the backdoor adjustment when you have multiple paths from T to Y to get the total causal flow?
https://mathsgee.com/26077/apply-backdoor-adjustment-multiple-paths-from-total-causal
How do you apply the backdoor adjustment when you have multiple paths from T to Y to get the total causal flow?Data Sciencehttps://mathsgee.com/26077/apply-backdoor-adjustment-multiple-paths-from-total-causalMon, 05 Apr 2021 23:11:32 +0000Beside the graphical causal models and SCM, is there any other powerful causal model?
https://mathsgee.com/26076/beside-graphical-causal-models-there-other-powerful-causal
Beside the graphical causal models and SCM, is there any other powerful causal model?Data Sciencehttps://mathsgee.com/26076/beside-graphical-causal-models-there-other-powerful-causalMon, 05 Apr 2021 23:10:25 +0000Can the backdoor criterion be framed as d-separation?
https://mathsgee.com/26075/can-the-backdoor-criterion-be-framed-as-d-separation
Can the backdoor criterion be framed as d-separation?Data Sciencehttps://mathsgee.com/26075/can-the-backdoor-criterion-be-framed-as-d-separationMon, 05 Apr 2021 23:09:26 +0000what makes the other methods of identification, like backdoor adjustment, better than just using truncated factorization?
https://mathsgee.com/26074/identification-backdoor-adjustment-truncated-factorization
what makes the other methods of identification, like backdoor adjustment, better than just using truncated factorisation?Data Sciencehttps://mathsgee.com/26074/identification-backdoor-adjustment-truncated-factorizationMon, 05 Apr 2021 23:07:44 +0000Is modularity assumption an advanced version of causal edges assumption?
https://mathsgee.com/26072/modularity-assumption-advanced-version-causal-assumption
Is modularity assumption an advanced version of causal edges assumption?Data Sciencehttps://mathsgee.com/26072/modularity-assumption-advanced-version-causal-assumptionMon, 05 Apr 2021 23:06:18 +0000When is a graphical model said to be causal or statistical?
https://mathsgee.com/26070/when-is-a-graphical-model-said-to-be-causal-or-statistical
When is a graphical model said to be causal or statistical? Does invoking the causal edges assumption convert every graph from a statistical model to a causal model?Data Sciencehttps://mathsgee.com/26070/when-is-a-graphical-model-said-to-be-causal-or-statisticalMon, 05 Apr 2021 23:02:18 +0000How do causal models deal with feedback systems, which have loops in a graph?
https://mathsgee.com/26069/causal-models-deal-with-feedback-systems-which-loops-graph
How do causal models deal with feedback systems, which have loops in a graph?Data Sciencehttps://mathsgee.com/26069/causal-models-deal-with-feedback-systems-which-loops-graphMon, 05 Apr 2021 23:01:25 +0000How will we apply the adjustment formula in case of marginalization of two or more confounders?
https://mathsgee.com/26066/will-apply-adjustment-formula-marginalization-confounders
I'm getting confused on why marginalizing the expectation over x i.e. Ex is 1/n? How will we apply the adjustment formula in case of marginalization of two or more confounders?Data Sciencehttps://mathsgee.com/26066/will-apply-adjustment-formula-marginalization-confoundersMon, 05 Apr 2021 22:57:10 +0000how can you know the true "ATE" by simulation?
https://mathsgee.com/26065/how-can-you-know-the-true-ate-by-simulation
how can you know the true "ATE" by simulation?Data Sciencehttps://mathsgee.com/26065/how-can-you-know-the-true-ate-by-simulationMon, 05 Apr 2021 22:56:15 +0000How can we use ML to estimate these conditional expectations since when using ML some of the variables originally part of our adjustment set might get coefficient = 0 if we use lasso for example?
https://mathsgee.com/26064/conditional-expectations-originally-adjustment-coefficient
How can we use ML to estimate these conditional expectations since when using ML (whose objective is prediction and not causal estimation) some of the variables originally part of our adjustment set might get coefficient = 0 if we use lasso for example. What is the rational to use ML here?Data Sciencehttps://mathsgee.com/26064/conditional-expectations-originally-adjustment-coefficientMon, 05 Apr 2021 22:55:01 +0000How are positivity and unconfoundedness are trade-offs?
https://mathsgee.com/26060/how-are-positivity-and-unconfoundedness-are-trade-offs
How are positivity and unconfoundedness are trade-offs?Data Sciencehttps://mathsgee.com/26060/how-are-positivity-and-unconfoundedness-are-trade-offsMon, 05 Apr 2021 22:50:06 +0000Can one test unconfoundedness?
https://mathsgee.com/26059/can-one-test-unconfoundedness
Can one test unconfoundedness?Data Sciencehttps://mathsgee.com/26059/can-one-test-unconfoundednessMon, 05 Apr 2021 22:49:02 +0000In Causal inference, is ignorability different from exogeneity?
https://mathsgee.com/26057/causal-inference-ignorability-different-from-exogeneity
In Causal inference, is ignorability different from exogeneity?Data Sciencehttps://mathsgee.com/26057/causal-inference-ignorability-different-from-exogeneityMon, 05 Apr 2021 22:39:42 +0000How do I quantify the comparability of two treatment groups?
https://mathsgee.com/26056/how-do-i-quantify-the-comparability-of-two-treatment-groups
How do I quantify the comparability of two treatment groups?Data Sciencehttps://mathsgee.com/26056/how-do-i-quantify-the-comparability-of-two-treatment-groupsMon, 05 Apr 2021 22:37:43 +0000Do "causal effect" and "causal association" refer to different things?
https://mathsgee.com/26054/causal-effect-and-causal-association-refer-different-things
Do "causal effect" and "causal association" refer to different things?Data Sciencehttps://mathsgee.com/26054/causal-effect-and-causal-association-refer-different-thingsMon, 05 Apr 2021 22:34:03 +0000Why can't DAGs have cycles?
https://mathsgee.com/26051/why-cant-dags-have-cycles
Why can't DAGs have cycles?Data Sciencehttps://mathsgee.com/26051/why-cant-dags-have-cyclesMon, 05 Apr 2021 22:27:29 +0000When using DAGs, why do we usually not draw the unobserved exogenous variables in the causal graph?
https://mathsgee.com/26049/using-usually-unobserved-exogenous-variables-causal-graph
When using DAGs, why do we usually not draw the unobserved exogenous variables in the causal graph?Data Sciencehttps://mathsgee.com/26049/using-usually-unobserved-exogenous-variables-causal-graphMon, 05 Apr 2021 22:25:36 +0000Are structural and probabilistic causal models mathematically equivalent?
https://mathsgee.com/26048/structural-probabilistic-causal-mathematically-equivalent
Are structural and probabilistic causal models mathematically equivalent?Data Sciencehttps://mathsgee.com/26048/structural-probabilistic-causal-mathematically-equivalentMon, 05 Apr 2021 22:24:36 +0000When using DAGs for causal models, can we use the terminology "conditioning" and "adjust for" interchangeably?
https://mathsgee.com/26047/causal-models-terminology-conditioning-interchangeably
When using DAGs for causal models, can we use the terminology "conditioning" and "adjust for" interchangeably?Data Sciencehttps://mathsgee.com/26047/causal-models-terminology-conditioning-interchangeablyMon, 05 Apr 2021 22:23:32 +0000What does CATE stand for in causal estimation?
https://mathsgee.com/26045/what-does-cate-stand-for-in-causal-estimation
What does CATE stand for in causal estimation?Data Sciencehttps://mathsgee.com/26045/what-does-cate-stand-for-in-causal-estimationMon, 05 Apr 2021 22:19:30 +0000How does one estimate heterogeneous treatment effects with causal trees and causal forests?
https://mathsgee.com/26044/estimate-heterogeneous-treatment-effects-causal-forests
How does one estimate heterogeneous treatment effects with causal trees and causal forests?Data Sciencehttps://mathsgee.com/26044/estimate-heterogeneous-treatment-effects-causal-forestsMon, 05 Apr 2021 22:17:35 +0000In causal inference, what is the law of decreasing credibility?
https://mathsgee.com/26042/in-causal-inference-what-is-the-law-decreasing-credibility
In causal inference, what is the law of decreasing credibility?Data Sciencehttps://mathsgee.com/26042/in-causal-inference-what-is-the-law-decreasing-credibilityMon, 05 Apr 2021 22:14:35 +0000How do you infer causal association when you have unobserved confounding?
https://mathsgee.com/26040/infer-causal-association-when-have-unobserved-confounding
How do you infer causal association when you have unobserved confounding?Data Sciencehttps://mathsgee.com/26040/infer-causal-association-when-have-unobserved-confoundingMon, 05 Apr 2021 22:12:22 +0000How does one achieve causal discovery from interventions?
https://mathsgee.com/26038/how-does-one-achieve-causal-discovery-from-interventions
How does one achieve causal discovery from interventions?Data Sciencehttps://mathsgee.com/26038/how-does-one-achieve-causal-discovery-from-interventionsMon, 05 Apr 2021 22:05:18 +0000How can I use causal insights for transfer learning and transportability of causal effects across populations?
https://mathsgee.com/26037/insights-transfer-learning-transportability-populations
How can I use causal insights for transfer learning and transportability of causal effects across populations?Data Sciencehttps://mathsgee.com/26037/insights-transfer-learning-transportability-populationsMon, 05 Apr 2021 22:04:20 +0000What are the limitations of causal mediation analysis regarding its assumptions about associations between the mediating pathways?
https://mathsgee.com/26036/limitations-mediation-regarding-assumptions-associations
What are the limitations of causal mediation analysis regarding its assumptions about associations between the mediating pathways?Data Sciencehttps://mathsgee.com/26036/limitations-mediation-regarding-assumptions-associationsMon, 05 Apr 2021 22:02:08 +0000What is the principle of the common cause?
https://mathsgee.com/26034/what-is-the-principle-of-the-common-cause
What is the principle of the common cause?Data Sciencehttps://mathsgee.com/26034/what-is-the-principle-of-the-common-causeMon, 05 Apr 2021 18:58:48 +0000In causal inference, what is the "Invariance" property?
https://mathsgee.com/26032/in-causal-inference-what-is-the-invariance-property
In causal inference, what is the "Invariance" property?Data Sciencehttps://mathsgee.com/26032/in-causal-inference-what-is-the-invariance-propertyMon, 05 Apr 2021 18:50:09 +0000What is Causal Regularization?
https://mathsgee.com/26031/what-is-causal-regularization
What is Causal Regularization?Data Sciencehttps://mathsgee.com/26031/what-is-causal-regularizationMon, 05 Apr 2021 18:25:18 +0000Does conditioning on causal variables imply invariance?
https://mathsgee.com/26028/does-conditioning-on-causal-variables-imply-invariance
Does conditioning on causal variables imply invariance?Data Sciencehttps://mathsgee.com/26028/does-conditioning-on-causal-variables-imply-invarianceMon, 05 Apr 2021 18:05:45 +0000Why are organizations not embracing causal modeling and inference?
https://mathsgee.com/25385/why-are-organizations-embracing-causal-modeling-inference
<p>Why are organizations not embracing causal modeling and inference?</p>
<p><img alt="" src="https://mathsgee.com/?qa=blob&qa_blobid=6907120525467734694" style="height:405px; width:540px"></p>Data Sciencehttps://mathsgee.com/25385/why-are-organizations-embracing-causal-modeling-inferenceThu, 25 Mar 2021 00:39:25 +0000What is a causal estimand?
https://mathsgee.com/25271/what-is-a-causal-estimand
What is a causal estimand?Data Sciencehttps://mathsgee.com/25271/what-is-a-causal-estimandMon, 01 Mar 2021 04:56:21 +0000What is sequential ignorability in causal inference?
https://mathsgee.com/25270/what-is-sequential-ignorability-in-causal-inference
What is sequential ignorability in causal inference?Data Sciencehttps://mathsgee.com/25270/what-is-sequential-ignorability-in-causal-inferenceMon, 01 Mar 2021 04:48:38 +0000What is cross-world counterfactual in causal inference?
https://mathsgee.com/25269/what-is-cross-world-counterfactual-in-causal-inference
What is cross-world counterfactual in causal inference?Data Sciencehttps://mathsgee.com/25269/what-is-cross-world-counterfactual-in-causal-inferenceMon, 01 Mar 2021 04:40:38 +0000What are variables in statistics?
https://mathsgee.com/24770/what-are-variables-in-statistics
What are variables in statistics?Data Sciencehttps://mathsgee.com/24770/what-are-variables-in-statisticsThu, 11 Feb 2021 04:29:28 +0000What is an exposure modeling framework in causal inference?
https://mathsgee.com/24704/what-is-an-exposure-modeling-framework-in-causal-inference
WHat is an exposure modeling framework in causal inference?Data Sciencehttps://mathsgee.com/24704/what-is-an-exposure-modeling-framework-in-causal-inferenceThu, 04 Feb 2021 17:26:50 +0000