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