Uncertainty quantification for honest regression trees
暂无分享,去创建一个
[1] Veronika Ročková,et al. On Semi-parametric Inference for BART , 2020, ICML.
[2] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[3] Philip S. Yu,et al. Mining concept-drifting data streams using ensemble classifiers , 2003, KDD '03.
[4] Trevor J. Hastie,et al. Confidence intervals for random forests: the jackknife and the infinitesimal jackknife , 2013, J. Mach. Learn. Res..
[5] Ryan Martin,et al. Marginal Inferential Models: Prior-Free Probabilistic Inference on Interest Parameters , 2013, 1306.3092.
[6] K. Singh,et al. Confidence Distribution, the Frequentist Distribution Estimator of a Parameter: A Review , 2013 .
[7] J. Rousseau,et al. A Bernstein–von Mises theorem for smooth functionals in semiparametric models , 2013, 1305.4482.
[8] T. E. Sterne,et al. Inverse Probability , 1930, Nature.
[9] I-Cheng Yeh,et al. Modeling of strength of high-performance concrete using artificial neural networks , 1998 .
[10] Ryan Martin,et al. Conditional inferential models: combining information for prior‐free probabilistic inference , 2012, 1211.1530.
[11] Adrian F. M. Smith,et al. A Bayesian CART algorithm , 1998 .
[12] Pınar Tüfekci,et al. Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods , 2014 .
[13] S. Athey,et al. Generalized random forests , 2016, The Annals of Statistics.
[14] Michael A. West,et al. Bayesian CART: Prior Specification and Posterior Simulation , 2007 .
[15] Arthur P. Dempster,et al. The Dempster-Shafer calculus for statisticians , 2008, Int. J. Approx. Reason..
[16] Samaradasa Weerahandi,et al. Generalized Confidence Intervals , 1993 .
[17] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[18] H. Chipman,et al. BART: Bayesian Additive Regression Trees , 2008, 0806.3286.
[19] Jan Hannig,et al. Generalized fiducial inference for wavelet regression , 2009 .
[20] Jan Hannig,et al. Uncertainty quantification for principal component regression , 2021 .
[21] Alípio Mário Jorge,et al. Ensemble approaches for regression: A survey , 2012, CSUR.
[22] Stefan Wager,et al. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests , 2015, Journal of the American Statistical Association.
[23] Randy C. S. Lai,et al. Generalized Fiducial Inference: A Review and New Results , 2016 .
[24] Misha Denil,et al. Narrowing the Gap: Random Forests In Theory and In Practice , 2013, ICML.
[25] Yao Li,et al. Uncertainty Quantification for High-Dimensional Sparse Nonparametric Additive Models , 2017, Technometrics.
[26] Chuanhai Liu,et al. Dempster-Shafer Theory and Statistical Inference with Weak Beliefs , 2010, 1011.0819.
[27] Minge Xie,et al. Confidence Distributions and a Unifying Framework for Meta-Analysis , 2011 .
[28] Edward I. George,et al. Bayesian Ensemble Learning , 2006, NIPS.
[29] B. Efron. Estimation and Accuracy After Model Selection , 2014, Journal of the American Statistical Association.
[30] Jan Hannig,et al. Generalized Fiducial Inference for Ultrahigh-Dimensional Regression , 2013, 1304.7847.
[31] D. Rubinfeld,et al. Hedonic housing prices and the demand for clean air , 1978 .
[32] Gérard Biau,et al. Analysis of a Random Forests Model , 2010, J. Mach. Learn. Res..