causal_statのノート

R, Tex, データサイエンスに関するノート

統計的学習理論：リソース

Machine learning

統計的学習理論

鈴木氏資料
http://ibisml.org/archive/ibis2012/ibis2012-suzuki.pdf

Vapnick氏論文
http://internet.math.arizona.edu/~hzhang/math574m/Read/vapnik.pdf

Sridharan氏の講義ノート（主に理論）
http://www.cs.cornell.edu/courses/cs6783/2018fa/lectures.html

M. Jordan 氏の講義ノート
https://people.eecs.berkeley.edu/~jordan/courses/281B-spring04/

Bartlett氏の講義(Berkley)
https://www.stat.berkeley.edu/~bartlett/courses/2013spring-stat210b/

Causal Inference for Continuous Treatments

Causal inference R

Causal inference for continuous treatments

Estimation of a continuous dose-response function

〇Hirano, K. and Imbens, G. W. (2004). The propensity score with continuous treatments. In
Gelman, A. and Meng, X.-L., editors, Applied Bayesian Modeling and Causal Inference
from Incomplete-Data Perspectives, pages 73–84. John Wiley & Sons.

Generalized propensity scores for multiple continuous treatment variables
Peter H.EggerabcdeMaximilianvon Ehrlicha, Economics Letters

Direct and indirect effects of continuous treatments based on generalized propensity score weighting

Evaluating Continuous Training Programs Using the Generalized Propensity Score
Jochen Kluve　et.al
(continuous does-response function of duration of training program)

Leitez(2016) Practical Propensity Score Methods Using R,
chapter 7 (Rコードもある)
http://www.practicalpropensityscore.com/continuous.html


連続型トリートメントの例：
広告を見た回数→購入　の効果、職業訓練参加期間→職業に就く、
成功報酬額→成績、講座参加時間→試験点数

Regression 等でどのように使うのか