Useful tips for everyday
What is the difference between inference and prediction? Inference: Use the model to learn about the data generation process. Prediction: Use the model to predict…
What is the Bayes decision boundary? Naive Bayes is a linear classifier The boundary of the ellipsoids indicate regions of equal probabilities P(x|y). The red…
What are standardized residuals GARCH? The standardized residual at time t is the residual at time t divided by the square root of the conditional…
Which type of graph is a graph of percentiles? A percentile graph, or cumulative frequency curve, is a display tool used by statisticians to show…
What is common factor analysis? Common factor analysis: The second most preferred method by researchers, it extracts the common variance and puts them into factors.…
What is a pairwise test in R? This article describes how to compute pairwise T-test in R between groups with corrections for multiple testing. The…
What is a latent variable approach? A latent variable is a variable that is inferred using models from observed data. Approaches to inferring latent variables…
Why is Precision-Recall curve better for Imbalanced data? FPR is considered better when it’s smaller since it indicates fewer false positives. In imbalanced data, the…
Do all random variables have a CDF? Yes, all random variables (defined in R) have a CDF function. Do discrete random variables have a CDF?…
When do you use residual analysis in regression? Residuals are essentially gaps that are left when a given model, in this case, linear regression, does…