Zobrazeno 1 - 10
of 7 283
pro vyhledávání: '"sample-splitting"'
Observational studies are valuable tools for inferring causal effects in the absence of controlled experiments. However, these studies may be biased due to the presence of some relevant, unmeasured set of covariates. The design of an observational st
Externí odkaz:
http://arxiv.org/abs/2406.00866
Observational epidemiological studies commonly seek to estimate the causal effect of an exposure on an outcome. Adjustment for potential confounding bias in modern studies is challenging due to the presence of high-dimensional confounding, which occu
Externí odkaz:
http://arxiv.org/abs/2405.15242
Autor:
Davis, Richard A., Fernandes, Leon
A fundamental and often final step in time series modeling is to assess the quality of fit of a proposed model to the data. Since the underlying distribution of the innovations that generate a model is often not prescribed, goodness-of-fit tests typi
Externí odkaz:
http://arxiv.org/abs/2403.07158
Autor:
Gong, Shijin, Zhang, Xinyu
When artificial neural networks have demonstrated exceptional practical success in a variety of domains, investigations into their theoretical characteristics, such as their approximation power, statistical properties, and generalization performance,
Externí odkaz:
http://arxiv.org/abs/2307.07726
This paper studies the inferential theory for estimating low-rank matrices. It also provides an inference method for the average treatment effect as an application. We show that the least square estimation of eigenvectors following the nuclear norm p
Externí odkaz:
http://arxiv.org/abs/2307.16370
Autor:
Vazquez, Omar, Nan, Bin
We consider random sample splitting for estimation and inference in high dimensional generalized linear models, where we first apply the lasso to select a submodel using one subsample and then apply the debiased lasso to fit the selected model using
Externí odkaz:
http://arxiv.org/abs/2302.14218
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Autor:
McGrath, Sean, Mukherjee, Rajarshi
Estimators of doubly robust functionals typically rely on estimating two complex nuisance functions, such as the propensity score and conditional outcome mean for the average treatment effect functional. We consider the problem of how to estimate nui
Externí odkaz:
http://arxiv.org/abs/2212.14857
Autor:
Midões, Catarina1,2 (AUTHOR) catarina.midoes@unive.it, de Crombrugghe, Denis3,4 (AUTHOR)
Publikováno v:
Journal of Economic Inequality. Dec2023, Vol. 21 Issue 4, p899-924. 26p.
Akademický článek
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