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This curated list gathers recent articles on statistical and probabilistic models, covering clustering analysis, various linear regression techniques, and causal analysis, providing convenient links for students and researchers to explore each topic in depth.
This article compiles recent Chinese-language resources on statistical and probabilistic models, organizing links to tutorials covering clustering analysis, various regression techniques, and causal inference, helping readers quickly locate essential learning material.
This article introduces causal analysis, outlines its major challenges such as correlation versus causation, confounding factors, and selection bias, explains a three‑step framework (association, intervention, counterfactual), and details how Beike applied these principles in a smart client‑management tool with rigorous A/B experiments.