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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
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Design-based theory for causal inference from adaptive experiments
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Improving Robustness of the Model-X Inference with Application to EHR Studies
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Estimation of Out-of-Sample Sharpe Ratio for High Dimensional Portfolio Optimization
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Change-point tests in locally stationary time series via sparse subsampling and pooling
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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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