以下兩個係full time MSTAT既core courses
第一個sem就要讀
STAT6008 Advanced statistical inference (6 credits)
This course covers the advanced theory of point estimation, interval estimation and hypothesis testing. Using a mathematically-oriented approach, the course provides a formal treatment of inferential problems, statistical methodologies and their underlying theory. It is suitable in particular for students intending to further their studies or to develop a career in statistical research. Contents include: (1) Decision problem – frequentist approach: loss function; risk; decision rule; admissibility; minimaxity; unbiasedness; Bayes’ rule; (2) Decision problem – Bayesian approach: prior and posterior distributions, Bayesian inference; (3) Estimation theory: exponential families; likelihood; sufficiency; minimal sufficiency; completeness; UMVU estimators; information inequality; large-sample theory of maximum likelihood estimation; (4) Hypothesis testing: uniformly most powerful (UMP) test; monotone likelihood ratio; UMP unbiased test; conditional test; large sample theory of likelihood ratio; confidence set; (5) Nonparametric inference; bootstrap methods.
STAT6014 Advanced statistical modelling (6 credits)
This course introduces modern methods for constructing and evaluating statistical models and their implementation using popular computing software, such as R or Python. It will cover both the underlying principles of each modelling approach and the model estimation procedures. Topics from: (i) Generalized linear models; (ii) Mixed models; (iii) Kernel and local polynomial regression; selection of smoothing parameters; (iv) Generalized additive models; (v) Hidden Markov models and Bayesian networks.
以下兩個係part time MSTAT既core courses
都係第一個sem讀
STAT7003 Foundations of statistics (6 credits)
Motivated by real problems involving uncertainty and variability, this course introduces the basic concepts and principles of statistical inference and decision- making. Ideas developed will include probability modelling, statistical distributions; parametric classes; the likelihood principle; maximum likelihood estimation; likelihood ratio tests; hypotheses testing. (Only under exceptional academic circumstances can this compulsory course be replaced by an elective course.)
STAT7004 Linear modelling (6 credits)
Much of the analysis of variability is concerned with locating the sources of the variability, and many current statistical techniques investigate these sources through the use of ‘linear’ models. This course presents a unified theory of such statistical problems including regression; variance and covariance analyses; design of experiments; and their practical implementation with statistical packages. (Only under exceptional academic circumstances can this compulsory course be replaced by an elective course.)
唔好以為7字頭勁過6字頭
7003只係等於4年制stat major year 2既introductory level course
7004只係等於year 3既course
然後再睇其他courses
主要分為6xxx, 7xxx, 80xx
6xxx通常係day time course比full time MSTAT讀,幾乎全部都係undergrad無cover過既topic
7xxx係part time既補底course
8xxx係undergrad year 3/4 elective抄過黎master, 例如data mining, time series, risk management, actuarial stat, biostat
你可以enroll into part time MSTAT然後take 唔係day time 6字頭既course, 我都係咁take左一個
但係真係好少咁樣開,我果年好似得6013,6014係咁
詳情請參閱
https://apps.saas.hku.hk/lx2/mstat/2019/MStat_Leaflet_2019.pdf