The Monte Carlo method.
N. Metropolis,
S. Ulam
|
11 |
1949 |
11
1949
|
Randomized response: a survey technique for eliminating evasive answer bias.
S. Warner
|
11 |
1965 |
11
1965
|
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Stefan Wager,
S. Athey
|
11 |
2015 |
11
2015
|
On Consistency and Sparsity for Principal Components Analysis in High Dimensions
I. Johnstone,
A. Lu
|
9 |
2009 |
9
2009
|
Distribution-Free Predictive Inference for Regression
Jing Lei,
M. G'Sell,
A. Rinaldo,
R. Tibshirani,
L. Wasserman
|
9 |
2016 |
9
2016
|
Toward Causal Inference With Interference
M. Hudgens,
E. Halloran
|
9 |
2008 |
9
2008
|
Smooth pycnophylactic interpolation for geographical regions.
W. Tobler
|
9 |
1979 |
9
1979
|
Estimating Individualized Treatment Rules Using Outcome Weighted Learning
Ying‐Qi Zhao,
D. Zeng,
A. J. Rush,
Michael R. Kosorok
|
9 |
2012 |
9
2012
|
Feature Screening via Distance Correlation Learning
Runze Li,
Wei Zhong,
Liping Zhu
|
9 |
2012 |
9
2012
|
A test for symmetry in contingency tables.
A. Bowker
|
9 |
1948 |
9
1948
|
A Framework for Feature Selection in Clustering
D. Witten,
R. Tibshirani
|
9 |
2010 |
9
2010
|
The problem of non-response in sample surveys.
M. H. Hansen,
W. N. Hurwitz
|
9 |
1946 |
9
1946
|
Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets
A. Datta,
Sudipto Banerjee,
A. Finley,
A. Gelfand
|
9 |
2014 |
9
2014
|
Monte Carlo Smoothing for Nonlinear Time Series
S. Godsill,
A. Doucet,
M. West
|
9 |
2004 |
9
2004
|
Spatial Modeling With Spatially Varying Coefficient Processes
A. Gelfand,
Hyon-Jung,
Kim,
C. F. Sirmans,
Sudipto,
Banerjee
|
9 |
2003 |
9
2003
|
Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
Jianqing Fan,
Yang Feng,
Rui Song
|
9 |
2009 |
9
2009
|
