Tobias Freidling
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    • Selective Randomization Inference for Adaptive Experiments
    • Optimization-based Sensitivity Analysis for Unmeasured Confounding using Partial Correlations
    • Post-selection Inference with HSIC-Lasso
    • Confidence in Causal Discovery with Linear Causal Models
    • Model Uncertainty in Statistical Inference
  • Talks
    • Selective Randomization Inference for Adaptive Experiments
    • Selective Randomization Inference for Adaptive Experiments
    • Selective Randomization Inference for Adaptive Experiments
    • Selective Randomization Inference for Adaptive Studies
    • Selective Randomization Inference for Adaptive Experiments
    • Selective Randomization Inference for Adaptive Clinical Studies
    • Selective Randomization Inference for Adaptive Studies
    • Sensitivity Analysis with the R2-Calculus
    • Sensitivity Analysis with the R2-Calculus
    • Sensitivity Analysis with the R2-Calculus
    • Sensitivity Analysis with the R2-Calculus
    • Sensitivity Analysis with the R2-Calculus
    • Post-selection inference with HSIC-Lasso
    • Post-selection inference with HSIC-Lasso
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    • Pandas
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    • My Talk

My Talk

2023-04-29·
Tobias Freidling
Tobias Freidling
· 0 min read
Code Slides Video
Last updated on 2023-04-29

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