2016年7月23日 · To me this seems like it fits the description of descriptive modelling and predictive modelling. I am looking at historical data and trying to find the set of rules that …

Your article are focused on explanatory models, intended as causal, and predictive one. You only mention a third type of models, the descriptives: “ Although not the focus of this article, a third …

In descriptive modeling, variable selection is performed based on theory first and only then confronted with the model output and data. See this post for a discussion on predictive vs …

2012年2月1日 · I'm used to doing descriptive modeling where I'm very concerned with parsimony and interpretability, but now I have a project that calls for the opposite and I'd like advice on …

2022年4月28日 · I understand that linear regression can be used as a descriptive model (also am well aware that the regression coefficients should be interpreted as correlations rather than …

2020年10月22日 · Descriptive statistics provide simple summaries about the sample and about the observations that have been made ... Later on, different measures are described such as …

2017年11月8日 · 2. Building a descriptive model Advantages: no/limited a priori selection of explanatory variables, however stepwise backward model selection, model/data dredging in a …

2017年2月10日 · Any modeling comes after. IMHO though, do note that "checking whether variables are correlated" in itself, is hardly a research question. I say this, because the reason …

2020年6月9日 · Descriptive statistics definition is pretty clear to say that it summarizes data using statistical methods like mean, mode, median, and spread. However, I came across the term …

2018年5月14日 · $\begingroup$ There is a third type of modeling - descriptive modeling - but I don't know of any references on which of AIC or BIC is best suited for identifying an optimal …