Project Ideas for Master of Statistics

Thesis on consistency and efficiency of generalized estimating equations (GEE)

Bayesian inference using Markov Chain Monte Carlo (MCMC) methods in epidemiological models

Design and power analysis for cluster-randomized control trials in public health

Derivation and simulation of estimators under heteroskedasticity in linear regression

Study on asymptotic properties of maximum likelihood estimators in mixed models

Theory and implementation of statistical learning techniques in high dimensions

Cross-validation strategy evaluation for penalized likelihood models

Thesis on convergence of EM algorithms in missing data contexts

Development of an R package for generalized linear model diagnostics

Markov process modeling for user behavior in online platforms

Simulation study comparing frequentist vs. Bayesian A/B testing under skewed distributions

Evaluation of multicollinearity and variance inflation in time-series regression

Design of stratified sampling plans for large-scale field experiments

Modeling mortality rates using Poisson regression with overdispersion adjustment

Development of robust regression methods under outlier contamination

Functional data analysis for wearable health monitoring time series

Empirical likelihood methods for non-parametric estimation problems

Simulation of hierarchical models in longitudinal psychological surveys

Optimization of nonparametric kernel estimators for density estimation

Assessment of statistical fairness metrics in algorithmic decision-making