加州大學(xué)圣塔芭芭拉分校統(tǒng)計(jì)學(xué)

The following programs are available: M.A. in Statistics—Mathematical Statistics Specialization, or Applied Statistics Specialization; Ph.D. in Statistics and Applied Probability; and the Ph.D. in Statistics and Applied Probability with an Emphasis in Financial Mathematics and Statistics. Also available are two optional interdisciplinary Ph.D. emphases (Bioengineering and Quantitative Methods in the Social Sciences). Specializations are not listed on a student’s transcript or diploma; however, emphases are listed on the transcript.
In addition to departmental requirements, candidates for graduate degrees must meet the university degree requirements described in the Graduate Education section of this catalog.

1、Statistical Theory

2、Measure Theory for Probability

3、 Introduction To Probability Theory And Stochastic Processes

4、Bayesian Inference

5、Statistical Decision Theory

6、 Multivariate Analysis

7、Advanced Topics in Mathematical Statistics

8、Advanced Statistical Methods

9、Advanced Probability Theory

10、 Advanced Stochastic Processes

11、Financial Modeling

12、Linear and Nonlinear Mixed Effects Models

13、Bootstrap and Resampling Methodology

14、Spline Smoothing and Applications

1、統(tǒng)計(jì)理論

2、概率的衡量理論

3、概率論與隨機(jī)過程簡介

4、貝葉斯推理

5、統(tǒng)計(jì)決策理論

6、多因素分析

7、數(shù)理統(tǒng)計(jì)中的高級(jí)主題

8、高級(jí)統(tǒng)計(jì)方法

9、高級(jí)概率論

10、高級(jí)隨機(jī)過程

11、財(cái)務(wù)建模

12、線性和非線性混合效應(yīng)模型

13、引導(dǎo)和重采樣方法

14、樣條平滑及應(yīng)用