Targeted smoothing parameter selection for estimating average causal effects

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Targeted smoothing parameter selection for estimating average causal effects is …
instance of (P31):
scholarly articleQ13442814

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P818arXiv ID1306.4509
P8978DBLP publication IDjournals/cstat/HaggstromL14
P356DOI10.1007/S00180-014-0515-0
P894zbMATH Open document ID1306.65064

P2093author name stringJenny Häggström
Xavier de Luna
P2860cites workRecent Developments in the Econometrics of Program EvaluationQ56706027
The central role of the propensity score in observational studies for causal effectsQ56882400
Estimating causal effects of treatments in randomized and nonrandomized studies.Q29012064
Robust Locally Weighted Regression and Smoothing ScatterplotsQ30052922
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue6
P921main subjectcomputational mathematicsQ1122491
P6104maintained by WikiProjectWikiProject MathematicsQ8487137
P304page(s)1727-1748
P577publication date2014-07-25
P1433published inComputational StatisticsQ5157297
P1476titleTargeted smoothing parameter selection for estimating average causal effects
P478volume29

Reverse relations

cites work (P2860)
Q31095569Data Resource Profile: Swedish Microdata Research from Childhood into Lifelong Health and Welfare (Umeå SIMSAM Lab).
Q50074275Joint sufficient dimension reduction and estimation of conditional and average treatment effects
Q38920544Outcome-adaptive lasso: Variable selection for causal inference

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