Statistical Theory and Inference
Estimation, testing, sampling theory, Bayesian and frequentist methods.
KSD Journal of Statistics and Operations Research
Research Areas
Aims and Scope
The journal welcomes rigorous theoretical, methodological and applied work across statistics and operations research.
Probability and Stochastic Modelling
Stochastic processes, probability distributions, random systems and applied probability.
Applied Statistics and Data Science
Regression, multivariate analysis, statistical learning, data mining and computational statistics.
Optimization
Linear, nonlinear, integer, stochastic, robust and multi-objective optimization.
Operations Research
Decision theory, scheduling, queuing, inventory, transportation and logistics.
Reliability, Simulation and Forecasting
Reliability analysis, risk modelling, simulation, time series and forecasting.