Research Interests of Department of Statistics
Research Interests of Department of Statistics
| Applications | Biostatistics; Computational biology; Applications in engineering and industry; Statistical quality control |
| Decision theory | Complete class results; Bayesian problems; empirical Bayes procedures; Admissibility; Mini-max procedures |
| Distribution theory | Distributions: general theory; Inequalities; stochastic orderings; Exact distribution theory; Asymptotic distribution theory |
| Linear inference, regression | General nonlinear regression; Linear regression; Ridge regression; Generalized linear models, Partially linear models, Diagnostics |
| Mathematical finance | Numerical methods (including Monte Carlo methods), Statistical methods, econometrics, Financial applications of other theories (stochastic control, calculus of variations, PDE, SPDE, dynamical systems) |
| Nonparametric inference | Density estimation; Nonparametric regression; Tolerance and confidence regions; Order statistics; empirical distribution functions; Statistics of extreme values; tail inference; Robustness |
| Official statistics | Registry statistics |
| Parametric inference | Point estimation; Asymptotic properties of estimators; Bayesian inference; Fisher information |
| Sampling theory, sample surveys | Sampling theory; sample surveys; Ranked based sampling methods |
| Sequential methods | Sequential analysis |
| Statistical data analysis | Statistical methods for incomplete data, Sensitivity analysis; Imputation methods; Statistical inference for missing data |
| Stochastic processes | Foundations of stochastic processes; Stationary processes; Continuous time and discrete time processes; Stable processes; Point processes; Markov models; Hidden Markov models; Time series; Extreme value theory |
| Sufficiency and information, Information and communication | Measures of information, entropy; Information-theoretic topics; Estimation of information measures |
| Survival analysis and censored data | Censored data models; Estimation; Reliability and life testing |