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@@ -78,8 +78,9 @@ The winning probability can then be computed as:
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$ Pr(theta > 0.5 | Y). $
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= Writing
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= Good title: The unreasonable effectiveness of XX in/of YY
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== Good title: The unreasonable effectiveness of XX in/of YY
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Good title form #link("https://en.wikipedia.org/wiki/The_Unreasonable_Effectiveness_of_Mathematics_in_the_Natural_Sciences")[`The unreasonable effectiveness of mathematics in the natural sciences`] by Eugene Wigner in 1960 @wigner1990unreasonable.
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@@ -94,7 +95,7 @@ Vela Velupillai in economics, "The Unreasonable Ineffectiveness of Mathematics i
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Terrence Joseph Sejnowski in Artificial Intelligence: The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence".
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= Good title: Rebel With a Cause
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== Good title: Rebel With a Cause
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Form the famous movie #link("https://en.wikipedia.org/wiki/Rebel_Without_a_Cause")[`Rebel Without a Cause`].
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= On the cluster analysis
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= Numerical calcaulation of influence function
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= Causal Inference
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== Causal Example
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=== Yule–Simpson’s Paradox
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==== Healty worker effect
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=== Smoke cause lung cancer
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==== Mediation analysis
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==== Sensitivity analysis
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== G-formula
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== The euqivalence between DAG and potential outcome framework
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=== The equivalence between nonparametric structural equation model(NPSEM) and potential outcome framework
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=== The equivalence between SWIG and FFRCISTG
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== ADMG : the inequility constraints
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=== Bell inequality
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= Semiparametric theory
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== Parametric theory
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=== Efficiency
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==== Convolution theorem
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== nonparametric theory
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== Regularity
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== Influence function
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=== Numerical calcaulation of influence function
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@mukhinkernel
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=== Von mise representation
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=== Tangent space
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S8 in @graham2024towards
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Formulation in @van1991differentiable
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=== Higher order influence function
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static/notes/notes.pdf

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