Conformal Prediction Sets: Expected Size Analysis
Conformal prediction sets' expected size is crucial for practical utility and can be theoretically quantified and empirically estimated.
Score Operator Newton Transport: Sampling and Bayesian Computation Approach
새로운 샘플링 및 베이지안 계산 방법으로 무한 차원 뉴턴 방법을 제안합니다.
Nested Nonparametric Instrumental Variable Regression: Estimation Challenges and Solutions
Nested NPIV estimation poses challenges due to ill posedness, but new estimators offer solutions with robust performance.
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models
Optimal spectral method for inhomogeneous Wigner models.
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
Estimating Conditional Average Treatment Effects (CATEs) using Triple/Debiased Lasso methodology.
Hoeffding Test and Divergence Tests Analysis
Divergence tests achieve first-order optimality but not second-order optimality compared to Neyman-Pearson test.
Simpson's Paradox Resolution Through Common Cause Principle
Common cause principle resolves Simpson's paradox by considering unobserved variables.
Random Variables Statistical Comparison with Locally Varying Scale of Measurement
Exploiting information in non-standard spaces through Generalized Stochastic Dominance (GSD).
Simulating Counterfactuals for Fairness Analysis in Credit-Scoring
Algorithm for simulating counterfactual distributions for fairness analysis in credit-scoring.
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo
Predictive goal-oriented OED seeks to maximize the expected information gain on quantities of interest, distinct from traditional parameter-focused OED.
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