受强制性开放获取政策约束的文章 - Todd Kuffner了解详情
可在其他位置公开访问的文章：9 篇
Post-selection inference
AK Kuchibhotla, JE Kolassa, TA Kuffner
Annual Review of Statistics and Its Application 9 (1), 505-527, 2022
强制性开放获取政策： US National Science Foundation
On overfitting and post-selection uncertainty assessments
L Hong, TA Kuffner, R Martin
Biometrika 105 (1), 221-224, 2018
强制性开放获取政策： US National Science Foundation
Modeling autosomal dominant Alzheimer's disease with machine learning
PH Luckett, A McCullough, BA Gordon, J Strain, S Flores, A Dincer, ...
Alzheimer's & Dementia 17 (6), 1005-1016, 2021
强制性开放获取政策： US National Science Foundation, US National Institutes of Health, UK Medical …
On model selection criteria for climate change impact studies
X Cui, B Gafarov, D Ghanem, T Kuffner
Journal of Econometrics 239 (1), 105511, 2024
强制性开放获取政策： 国家自然科学基金委员会
On prediction of future insurance claims when the model is uncertain
L Hong, T Kuffner, R Martin
Variance 12 (1), 2019
强制性开放获取政策： US National Science Foundation
Principled statistical inference in data science
TA Kuffner, GA Young
Statistical Data Science, 21-36, 2018
强制性开放获取政策： US National Science Foundation
On the validity of the formal Edgeworth expansion for posterior densities
JE Kolassa, TA Kuffner
Annals of Statistics 48 (4), 1940-1958, 2020
强制性开放获取政策： US National Science Foundation
Bayesian inference on volatility in the presence of infinite jump activity and microstructure noise
Q Wang, JE Figueroa-López, TA Kuffner
强制性开放获取政策： US National Science Foundation
Discussion: Models as Approximations
D Ghanem, TA Kuffner
Statistical Science 34 (4), 604-605, 2019
强制性开放获取政策： US National Science Foundation
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