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Kuldeep Kumar 对《传统 Varimax 因子分析实现统计推断》的讨论AI 解读

Data Analysts are quite often confused between principal component analysis (PCA) and factor analysis. Both are the same data reduction techniques that are immensely helpful in big data analysis in many other areas. I personally think factor analysis is just an offshoot of PCA and as the authors have mentioned PCA with Varimax is a vintage data analysis technique. So, should the title of the paper be Vintage PCA with Varimax performing statistical inference? I am quite…

Kuldeep Kumar 对《广义线性模型参数的弱假设推断》的讨论AI 解读

According to Leo Breiman (2001), there are two broad cultures for analysing and modelling to reach conclusions from the data. The first one is data modelling culture where the value of the parameters are estimated from the data and then the model is used for information and/or prediction. The second one is algorithmic modelling culture, where the approach is to find a function f(x) using an algorithm that operates on x to predict y. In the first case, statistical tools like…