55 - caption : Contents
66 chapters :
77 - file : prior_knowledge/overview.md
8- - file : ate/overview.md
9- sections :
10- - file : ate/ols.ipynb
11- - file : ate/propensity_score_and_dml.ipynb
12- - file : ate/did.ipynb
13- - file : ate/sc.ipynb
14- - file : ate/sdid.ipynb
15- - file : ate/iv.ipynb
16- - file : ate/rdd.ipynb
17- - file : cate_and_policy/overview.md
18- sections :
19- - file : cate_and_policy/parametric_cate.ipynb
20- - file : cate_and_policy/nonparametric_cate.ipynb
21- - file : cate_and_policy/policy_learning.ipynb
22- - file : cate_and_policy/iv.ipynb
23- - file : cate_and_policy/cate_with_nn.ipynb
24- - file : cate_and_policy/interpretability.ipynb
25- - file : scm/overview.md
26- sections :
27- - file : scm/backdoor_criterion.ipynb
28- - file : scm/frontdoor_criterion.ipynb
29- - file : scm/causal_discovery.ipynb
30- - file : prescriptive_analytics/overview.md
31- sections :
32- - file : prescriptive_analytics/fractional_uplift.ipynb
33- - file : prescriptive_analytics/budget_constrained_optimization.ipynb
8+
9+ - caption : Part 1
10+ chapters :
11+ - file : part1/ols.ipynb
12+ - file : part1/ipw_psm.ipynb
13+ - file : part1/did.ipynb
14+ - file : part1/sc.ipynb
15+ - file : part1/sdid.ipynb
16+ - file : part1/iv.ipynb
17+ - file : part1/iv_cate.ipynb
18+ - file : part1/rdd.ipynb
19+ - file : part1/T_4_Regression_Discontinuity_on_Progresa_Data.ipynb
20+
21+ - caption : Part 2
22+ chapters :
23+ - file : part2/dml.ipynb
24+ - file : part2/meta_learner.ipynb
25+ - file : part2/policy_learning.ipynb
26+ - file : part2/cate_with_nn.ipynb
27+ - file : part2/interpretability.ipynb
28+ - file : part2/backdoor_criterion.ipynb
29+ - file : part2/causal_discovery.ipynb
30+ - file : part2/MSM.ipynb
31+
32+ - caption : Examples
33+ chapters :
34+ - file : examples/fractional_uplift.ipynb
35+ - file : examples/budget_constrained_optimization.ipynb
36+ - file : examples/frontdoor_criterion.ipynb
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