Teaching
Workshops
Gaussian Process Modelling for Time Depedent Data
Ecological Forecasting Initiative (EFI) Conference workshop at Virginia Tech, Blacksburg (2025)
VectorByte training workshop at Virginia Tech Research Centre (2024)
Taught Gaussian Processes (GP) to Ecologists for time dependent data. This covered basics of Gaussian Processes, fiting a GP using the laGP package in R. Additionally, introduced Heteroskedastic GP (hetGP) which can be used when noise is input dependent and included fitting in R using hetGP package. Practical sessions were also included as part of course material.
Short Courses
Bootstrapping in R, Statistical Applications and Innovations Group, Virginia Tech (2022).
This course covered basics of bootstrapping. The course also included practicals and exercises in R.
Courses
STAT 4214: Methods of Regression Analysis, Department of Statistics, Virginia Tech (2022)
This course covered linear regression, parameter estimation, hypothesis testing. Checking for multicollinearity, outlier detection, residual analysis and transformations. Additionally also covers multiple linear regression, non linear regression, indicator variables and logistic regression. Practicals in R programming language.