Data analytics, statistics, and more
This is a perfunctory exploration of the early transmission dynamics of coronavirus disease 2019 (COVID-19) in mainland China. The basic reproduction number and the per day infection mortality and recovery rates are estimated using a classic SIR compartmental model of communicable disease outbreaks.
Feature Selection is a core concept in machine (statistical) learning that can have significant impacts on model performance. This post examines various methods to identify the most important predictor variables in machine learning that explain the variance of the response variable.
Use the functionality of R and R packages to create both simple maps and complex maps containing many different layers.
Often data from more than two groups needs to be evaluated, usually on the basis of a representative value from each group. This post examines the use of survival analysis techniques to test whether surface water samples containing a high frequency of censored (non-detect) values differ in dissolved lead concentration between various watersheds.
There is no precise way to define and identify outliers in general because of the specifics of each dataset. This post evaluates three methods for multivariate outlier detection, including Mahalanobis distance (a multivariate extension to standard univariate tests) and two machine learning (clustering) techniques.