Linear Models Don’t have to Fit Exactly for P-Values To Be Accurate, Right, and Useful

There is no need to get confused with multiple linear regression, generalized linear model or general linear methods. The general linear model or multivariate regression model is a statistical linear model and is written as Y = XB + U. Usually, a linear model includes a number of different statistical models such as ANOVA, ANCOVA, MANOVA, MANCOVA, ordinary linear regression, t-test and F-test. The GLM is a generalization of multiple linear regression models to the case of more than one dependent variable. So if Y, B, and U represent column vectors, the matrix equation above will portray a multiple linear regression.


How Bayesian Networks Are Superior in Understanding Effects of Variables

Bayes Nets have remarkable properties that make them better than many traditional methods in determining variables’ effects. This article explains the principle advantages.


The Qualitative Side of Quantitative Research

Kevin and Koen may buy the same brand for the same reasons. On the other hand, they may buy the same brand for different reasons, or buy different brands for the same reasons, or even different brands for different reasons. The brands they purchase and the reasons why may vary by occasion, too.


Introduction to Visualizing Asset Returns

In a previous post, we reviewed how to import daily prices, build a portfolio, and calculate portfolio returns. Today, we will visualize the returns of our individual assets that ultimately get mashed into a portfolio. The motivation here is to make sure we have scrutinized our assets before they get into our portfolio, because once the portfolio has been constructed, it is tempting to keep the analysis at the portfolio level.


Deep Learning Models With Demos

Sortable and searchable compilation of pre-trained deep learning models. With demos and code. Pre-trained models are deep learning model weights that you can download and use without training. Note that computation is not done in the browser.
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