Projects
Refined Debiased Lasso for High-Dimensional Generalized Linear Models
This project highlights the development of a more stable and accurate debiasing method for high-dimensional GLMs.
Evaluating the Effects of Biochar on Growth and Elemental Accumulation in Multiple Crops
This project analyzes biochar effects on soil and vegetation using Principal Component Analysis (PCA), K-Means clustering, and ANOVA.
Neural Networks for Parameter Estimation in Intractable Models
This project highlights how deep learning methods can estimate parameters in complex models with intractable likelihoods.
Predictors of Antenatal Care Count Data in Bangladesh: relative importance analysis
The primary goal of this research is to figure out the factors that are associated with the number of ANC visits.