The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting
统计模型的生命周期:失效检测、定位与重新拟合
The statistical machine learning community has demonstrated considerable resourcefulness over the years in developing highly expressive tools for estimation, prediction, and inference. The bedrock assumptions underlying these developments are that the data comes from a fixed population and displays little heterogeneity. But reality is significantly more complex: statistical models now routinely fail when released into real-world systems and scientific applications, where…