波士頓大學(xué)理論與應(yīng)用數(shù)學(xué)

Here we provide information about admission, financial aid, and degree requirements both in Pure & Applied Mathematics and in Probability & Statistics at Boston University. Please browse the department’s home page for the list of faculty and their research interests, the list of select faculty publications, the list of recent books by faculty members, and the lists of graduate courses in mathematics and in statistics.
Prospective students should have the equivalent of an undergraduate degree in pure or applied mathematics and prospective Statistics students should have a substantial undergraduate background in statistics; certain intermediate-level courses may be taken at Boston University before the student enrolls in graduate courses.

1、Statistical Analysis of Point Process Data

2、Stochastic Methods of Operations Research

3、Linear Models

4、Generalized Linear Models

5、Mathematics of Financial Derivatives

6、Bayesian Statistics

7、Probability

8、Analytic methods for partial differential equations

9、Mathematical Statistics

10、Introduction to Stochastic Processes

11、Time Series and Forecasting

12、Nonparametric Statistics

13、Computational Statistics

1、點(diǎn)過(guò)程數(shù)據(jù)的統(tǒng)計(jì)分析

2、運(yùn)籌學(xué)隨機(jī)方法

3、線性模型

4、廣義線性模型

5、金融衍生品數(shù)學(xué)

6、貝葉斯統(tǒng)計(jì)

7、概率

8、數(shù)理統(tǒng)計(jì)

9、隨機(jī)過(guò)程介紹

10、多元統(tǒng)計(jì)分析

11、時(shí)間序列和預(yù)測(cè)

12、非參數(shù)統(tǒng)計(jì)

13、統(tǒng)計(jì)計(jì)算