STAT 3005 非參數統計 Nonparametric statistics

 

Course Code	STAT 3005 STAT3005			科目名稱		Nonparametric statistics 非參數統計
教員	Professor CHAN Kin Wai [官方介紹] [學術著作]			學　　分		3學分
課程性質	統計系選修			同科其他選擇
Workload	l   非PAPER類HOMEWORK l   MIDTERM l   FINAL EXAM								好重
									重
									平均	1
									輕
									極輕
評價教學內容	#1 教嘅內容例如bootstrap,BD correlation,kde都幾有趣 assignment會教點樣處理uncleaned dataset midterm同final會要你試吓用layman language解釋吓statistical concept 成個course到最後會學到很多嘢
評價教員教學	#1 lecturer超好人,lecture notes排版好好,亦有好多examples,上堂一定唔會悶
CUSIS科目資料	Description： This course introduces a wide variety of nonparametric techniques for performing statistical inference and prediction, emphasizing both conceptual foundations and practical implementation. Basic theoretical justification is also provided. The content covers three broad themes: (i) rank-type and order-type methods for handling location, dispersion, correlation, distribution and regression problems, (ii) resampling-type procedures for testing and assessing precision, and (iii) smoothing-type techniques for estimation and prediction. Topics include Wilcoxon signed-rank test, Mann-Whitney rank sum test, Spearman’s rho, Kendall’s tau, Kruskal-Wallis test, Kolmogorov-Smirnov test, bootstrapping, Jackknife, subsampling, permutation tests, kernel method, k-nearest neighbour, tree-based method, classification, etc.   Learning Outcome： Upon finishing the course, students are expected to 1.      appreciate the beauty of nonparametric methods; 2.      apply a wide variety of nonparametric techniques to perform inference and prediction; 3.      understand the pros and cons of parametric and nonparametric methods; 4.      use programming to perform nonparametric statistical analysis for real-life problems; and 5.      master the skills in deriving basic theoretical properties of nonparametric methods.
其他資料	2020Sem1：學位 100|註冊 93|剩餘 7
同學推薦	高度推薦	1	推薦			有保留		極有保留

STAT 4003 統計推論 Statistical Inference

Course Code	STAT 4003 STAT4003			科目名稱		Statistical Inference 統計推論
教員	Professor CHAN Kin Wai [官方介紹] [學術著作]			學　　分		3學分
課程性質	STAT/RMSC 選修 (STAT有一個stream係必修)			同科其他選擇
Workload	l   非PAPER類HOMEWORK l   MIDTERM l   FINAL EXAM								好重
									重	1
									平均
									輕
									極輕
評價教學內容	#1 今年轉左新人教, 內容深左好多, 亦多左, 可能係4字頭最難嘅course. 全部理論, workload重. 覺得STAT太易又想要挑戰嘅同學可以試下.
評價教員教學	#1 呢個course可取之處就係佢教得好好, lecture notes 足, 睇得出好比心機整. ********交齊嘢, 去齊mid term就唔會爛grade********
CUSIS科目資料	Description： This course provides an introduction to statistical inference. Topics include statistical models, sampling distributions, asymptotic distributions, sufficiency, maximum likelihood estimation, Bayesian estimation, Rao-Blackwell theorem, Cramér-Rao theorem and the best unbiased estimator, Neyman-Pearson lemma, uniformly most powerful test and general likelihood ratio test. Learning Outcome： Upon completion of the course, students should be able to (1) understand the basic concepts of statistical inference, including likelihood, sufficiency, frequentist and Bayesian inference, elementary decision theory, point estimation and hypothesis testing; and (2) formulate the statistical problems that arise from real-world applications and use the principles of statistical inference to tackle them.
其他資料	2018Sem2：學位 110|註冊 90|剩餘 20
同學推薦	高度推薦	1	推薦			有保留		極有保留