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Choosing Optimal Master Electives for PhD Statistics Admissions

A student needs to select 3 out of 5 elective courses for a Master of Statistics program to specialize in time series and stochastic processes and enhance PhD statistics admissions prospects. The courses are Stochastic Models, Bayesian Statistics, Computer-intensive methods, Generalized Linear Models, and Survival Analysis. The student seeks advice on which courses are essential for a PhD statistics admissions committee.

Mathematics & logic, Mathematics, Statistics & Probability