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A Tutorial on Conformal prediction part1
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Controlling the FDR via knockoffs part1
BH procedure 证明1 martingale
A Tutorial on Conformal Prediction part3
testing for outliers with conformal p-values
A Tutorial on Spectral Clustering part1
BH proof 2 leave one out
robust universal inference
locally shrinkage LDA
classification part1
Prediction-Powered Inference
Conformalized survival analysis with adaptive cutoffs
A Tutorial on Spectral Clustering part2.mov
Distribution-Free, Risk-Controlling Prediction Sets
nonpara week11part1
statsoft week2 part1
Integrative conformal p-values for powerful out-of-distribution testing with lab
kernelized stein discrepancy tutorial part2 ksd
高维统计lec1 why hd stat
regression part1
因果推断极简入门3 random experiment
Universal Inference
nonpara week9 part1
alpha investing sequential FDR
【论文技巧】SCI论文Discussion部分写作五步走模型
Kernel Knockoffs Selection for Nonparametric Additive Models
kernelized stein discrepancy tutorial part3 application
A Tutorial on Spectral Clustering part3
critical value p-hacking
Double/debiased machine learning for treatment and structural parameters
clustering part1
machine learning meets FDR
Cauchy combination test
post selection inference
False Discovery control with E values
active statistical inference
EigenPrism- Inference for High-Dimensional Signal-to-Noise Ratios
因果推断极简入门2 notations and framework
statsoft week11part1
统计推断8-3 相合估计
Just a Few Seeds More- Value of Network Information for Diffusion