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A Survey on LLM-as-a-Judge方法论、应用与未来研究方向探讨

Design-based theory for causal inference from adaptive experiments

Improving Robustness of the Model-X Inference with Application to EHR Studies

Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization

Change-point tests in locally stationary time series via sparse subsampling and pooling

Challenges in Predicting Biological Age

StatEval: A Comprehensive Benchmark for Large Language Models in Statistics

Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data for Global Economy Forecasting

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