MathsGee Answers - Recent questions in Data Science
https://mathsgee.com/questions/data-science
Powered by Question2AnswerWhat is agile data science?
https://mathsgee.com/26680/what-is-agile-data-science
What is agile data science?Data Sciencehttps://mathsgee.com/26680/what-is-agile-data-scienceFri, 16 Apr 2021 05:59:13 +0000Causal AI - What is the relationship between faithfulness and the Markov assumption?
https://mathsgee.com/26678/causal-relationship-between-faithfulness-markov-assumption
Causal AI - What is the relationship between faithfulness and the Markov assumption?Data Sciencehttps://mathsgee.com/26678/causal-relationship-between-faithfulness-markov-assumptionThu, 15 Apr 2021 23:58:53 +0000Are there platforms where one can do A/B testing online?
https://mathsgee.com/26496/are-there-platforms-where-one-can-do-a-b-testing-online
Are there platforms where one can do A/B testing online?Data Sciencehttps://mathsgee.com/26496/are-there-platforms-where-one-can-do-a-b-testing-onlineMon, 12 Apr 2021 03:23:08 +0000Is online experimentation necessarily better than instinct-driven/informed decision making for online businesses?
https://mathsgee.com/26212/experimentation-necessarily-instinct-informed-businesses
Is online experimentation necessarily better than instinct-driven/informed decision making for online businesses?Data Sciencehttps://mathsgee.com/26212/experimentation-necessarily-instinct-informed-businessesSat, 10 Apr 2021 22:20:27 +0000How is Facebook using Bayesian Optimization with BoTorch?
https://mathsgee.com/26206/how-is-facebook-using-bayesian-optimization-with-botorch
<p>How is Facebook using Bayesian Optimization with BoTorch?</p>
<p><img alt="" src="https://mathsgee.com/?qa=blob&qa_blobid=7856911643658117998" style="height:397px; width:600px"></p>Data Sciencehttps://mathsgee.com/26206/how-is-facebook-using-bayesian-optimization-with-botorchSat, 10 Apr 2021 08:25:37 +0000Could A/B testing be considered as an example of Randomized Control Testing (RCT)?
https://mathsgee.com/26186/could-testing-considered-example-randomized-control-testing
Could A/B testing be considered as an example of Randomized Control Testing (RCT)?Data Sciencehttps://mathsgee.com/26186/could-testing-considered-example-randomized-control-testingFri, 09 Apr 2021 03:33:53 +0000As 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 +0000How do computers discover new knowledge ?
https://mathsgee.com/26348/how-do-computers-discover-new-knowledge
How do computers discover new knowledge ?Data Sciencehttps://mathsgee.com/26348/how-do-computers-discover-new-knowledgeThu, 08 Apr 2021 17:22:27 +0000Can you describe Regression Analysis techniques?
https://mathsgee.com/26455/can-you-describe-regression-analysis-techniques
Can you describe Regression Analysis techniques?Data Sciencehttps://mathsgee.com/26455/can-you-describe-regression-analysis-techniquesThu, 08 Apr 2021 04:07:16 +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 +0000So counterfactual is considered a disjoint set of CATE, rather than a subset?
https://mathsgee.com/26096/counterfactual-considered-disjoint-cate-rather-than-subset
So counterfactual is considered a disjoint set of CATE, rather than a subset?Data Sciencehttps://mathsgee.com/26096/counterfactual-considered-disjoint-cate-rather-than-subsetMon, 05 Apr 2021 23:39:33 +0000In the transfer learning setting, is there a similar proof (or statement) for the optimality of robustness in the anti-causal setting (want to predict Y from X, but Y is the cause of X)?
https://mathsgee.com/26095/transfer-learning-statement-optimality-robustness-setting
In the transfer learning setting, is there a similar proof (or statement) for the optimality of robustness in the anti-causal setting (want to predict Y from X, but Y is the cause of X)?Data Sciencehttps://mathsgee.com/26095/transfer-learning-statement-optimality-robustness-settingMon, 05 Apr 2021 23:37:57 +0000Why is the Markov blanket of the example the minimum set of variables that will give us optimal prediction?
https://mathsgee.com/26094/markov-blanket-example-minimum-variables-optimal-prediction
Why is the Markov blanket of the example the minimum set of variables that will give us optimal prediction?Data Sciencehttps://mathsgee.com/26094/markov-blanket-example-minimum-variables-optimal-predictionMon, 05 Apr 2021 23:36:39 +0000What is interventional Markov equivalence?
https://mathsgee.com/26093/what-is-interventional-markov-equivalence
What is interventional Markov equivalence?Data Sciencehttps://mathsgee.com/26093/what-is-interventional-markov-equivalenceMon, 05 Apr 2021 23:35:20 +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 +0000what is the difference between the causal effect of y on t and the conditional causal effect of y on t?
https://mathsgee.com/26086/difference-between-causal-effect-conditional-causal-effect
what is the difference between the causal effect of y on t and the conditional causal effect of y on t?Data Sciencehttps://mathsgee.com/26086/difference-between-causal-effect-conditional-causal-effectMon, 05 Apr 2021 23:25:15 +0000Is the MTS assumption, by definition a contradiction to exchangeability (ignorability)?
https://mathsgee.com/26085/assumption-contradiction-exchangeability-ignorability
Is the MTS assumption, by definition a contradiction to exchangeability (ignorability)?Data Sciencehttps://mathsgee.com/26085/assumption-contradiction-exchangeability-ignorabilityMon, 05 Apr 2021 23:23:53 +0000Does the matching always have to be injective, or could multiple treated instances be mapped to the same control instance?
https://mathsgee.com/26084/matching-injective-multiple-treated-instances-control-instance
Does the matching always have to be injective, or could multiple treated instances be mapped to the same control instance?Data Sciencehttps://mathsgee.com/26084/matching-injective-multiple-treated-instances-control-instanceMon, 05 Apr 2021 23:22:10 +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 +0000Is covariate balance equivalent to independence?
https://mathsgee.com/26080/is-covariate-balance-equivalent-to-independence
Is covariate balance equivalent to independence?Data Sciencehttps://mathsgee.com/26080/is-covariate-balance-equivalent-to-independenceMon, 05 Apr 2021 23:14:24 +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 +0000Do we still need to assume modularity if backdoor criterion is satisfied?
https://mathsgee.com/26073/still-need-assume-modularity-backdoor-criterion-satisfied
Do we still need to assume modularity if backdoor criterion is satisfied?Data Sciencehttps://mathsgee.com/26073/still-need-assume-modularity-backdoor-criterion-satisfiedMon, 05 Apr 2021 23:06:53 +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 +0000Is it true that conditioning on collider doesn't always lead to statistical dependence?
https://mathsgee.com/26071/conditioning-collider-doesnt-always-statistical-dependence
Is it true that conditioning on collider doesnt always lead to statistical dependence?Data Sciencehttps://mathsgee.com/26071/conditioning-collider-doesnt-always-statistical-dependenceMon, 05 Apr 2021 23:03:44 +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 +0000Do you assume topological ordering when writing out the chain rule for a DAG?
https://mathsgee.com/26068/you-assume-topological-ordering-when-writing-out-chain-rule
Do you assume topological ordering when writing out the chain rule for a DAG?Data Sciencehttps://mathsgee.com/26068/you-assume-topological-ordering-when-writing-out-chain-ruleMon, 05 Apr 2021 23:00:02 +0000Can the Local Markov Assumption (LMA) induce dependences?
https://mathsgee.com/26067/can-the-local-markov-assumption-lma-induce-dependences
Can the Local Markov Assumption (LMA) induce dependences?Data Sciencehttps://mathsgee.com/26067/can-the-local-markov-assumption-lma-induce-dependencesMon, 05 Apr 2021 22:58:37 +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 is SUTVA related to no interference and consistency?
https://mathsgee.com/26063/how-is-sutva-related-to-no-interference-and-consistency
How is SUTVA related to no interference and consistency?Data Sciencehttps://mathsgee.com/26063/how-is-sutva-related-to-no-interference-and-consistencyMon, 05 Apr 2021 22:53:01 +0000Does the consistency assumption always hold if we treat the potential outcome for each individual $Y_i(t)$ as a random variable, instead of a constant?
https://mathsgee.com/26062/consistency-assumption-potential-individual-variable-constant
Does the consistency assumption always hold if we treat the potential outcome for each individual $Y_i(t)$ as a random variable, instead of a constant?Data Sciencehttps://mathsgee.com/26062/consistency-assumption-potential-individual-variable-constantMon, 05 Apr 2021 22:52:19 +0000Does the naïve idea of dimensionality reduction, e.g., PCA, help the problem of positivity?
https://mathsgee.com/26061/does-naive-idea-dimensionality-reduction-problem-positivity
Does the na&iuml;ve idea of dimensionality reduction, e.g., PCA, help the problem of positivity?Data Sciencehttps://mathsgee.com/26061/does-naive-idea-dimensionality-reduction-problem-positivityMon, 05 Apr 2021 22:50:55 +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 +0000