我的排列顺序是 UCLA>GaTech>UCSD
首先在教授 focus
UCSD 的教授没有把研究重心放在商界上，这里主要列举该系应用数学方面两位最具代表性的教授
Ery Arias-Castro
Assistant Professor of Mathematics
Academic Interests and Research
Image Processing and Detection of Geometric Objects by Fast Multiscale Methods and
techniques related to Statistical Mechanics.
Ronghui Xu
Academic Interests and Research
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High dimensional data analysis (as applicable to -omics fields research)
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Imaging data analysis
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Random effects models (longitudinal and/or clustered data)
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Survival analysis
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Clinical trials
综上所述，该项目的教授主要偏向生物医疗方面的统计研究，与该同学的目标领域不太相符，所
以把 UCSD 排在最后
下图为 UCLA 和 Gatech 的教授 focus,明显感觉比较符合该同学的思路
Bentler, Peter — Distinguished Professor,
310-825-2893
Multivariate analysis, with special
Berk, Richard — Professor Emeritus,
Applied statistics, statistical learning,
evaluation of complex computer models
emphasis on latent variable models.
Braverman, Amy — Adjunct Associate
Professor, 818-793-4606
Christou, Nicolas — Lecturer,
310-206-4420
Massive data set analysis, data fusion,
Spatial statistics, Spatial regression
statistical methods for diagnosing
models.
climate models.
Davis, Gretchen G. — Continuing Lecturer,
de Leeuw, Jan — Distinguished Professor
310-206-6450
Teaching of Statistics
and Chair, 310-825-9550
Data analysis, Multivariate analysis,
Computational statistics
Dinov, Ivo — Adjunct Associate Professor,
310-206-4330
Esfandiari, Mahtash — Continuing Senior
Lecturer, 310-825-2732
Mathematical and statistical modeling,
Teaching of statistics, Evaluation of
brain mapping, decision theory, wavelet
interventions, Experimental design,
analysis, computational techniques.
Testing and Measurement
Ferguson, Thomas — Professor Emeritus,
310-825-4898
Statistics, Game theory
Gould, Robert L. — Academic Administrator
and Undergraduate Vice-Chair, 310-206-3381
Education, repeated measures
analysis.
Hansen, Mark — Professor and Graduate
Vice-Chair, 310-206-8375
Jennrich, Robert — Professor Emeritus,
310-825-2207
Information theory, nonparametric
Statistical computing, design, nonlinear
methods, media design.
regression.
Lew, Vivian — Continuing Lecturer,
310-206-6474
Li, Ker-Chau — Distinguished Professor,
310-825-4897
Statistical packages, Government and
Dimension reduction, data visualization,
Business statistics.
time series, images, and gene
expression.
Paik Schoenberg, Rick — Professor and
Vice Chair for External Affairs, 310-794-5193
Port, Sidney — Professor Emeritus,
310-825-2207
Point processes, Image analysis, Time
Probability theory, Limit theorems,
series, and applications especially in
Markov processes, Potential theory,
seismology and fire ecology
Applied Statistics, Applications of
Mathematics to Medicine
Sabatti, Chiara — Professor, 310-206-6450
Bayesian statistics, Markov chains,
Sanchez, Juana — Continuing Lecturer,
310-825-1318
Monte Carlo methods, Statistical
Statistics education, time series,
genetics
analysis of internet traffic and www
data, bayesian statistics
Wu, Yingnian — Professor, 310-794-4860
Statistical modeling and computing
Xu, Hongquan — Associate Professor,
310-206-0035
Experimental design, bioinformatics,
data mining, computer experiments.
Ylvisaker, Donald — Professor Emeritus,
310-825-4819
Design theory, Applied statistics
Zhou, Qing — Assistant Professor,
310-794-7563
Yuille, Alan — Professor, 310-267-5383
Computer Vision, Bayesian Statistics,
Pattern Recognition
Zhu, Song Chun — Professor,
310-206-8693
Computational biology, Monte Carlo
Computer Vision, Bayesian Statistics,
methods, and Bayesian statistics
Pattern Recognition
Many of the courses of interest to students in the program are in probability, most often taught
by members of the Center for Applied Probability. The Statistics faculty is among the most
prestige in the nation, receiving numerous grants from the National Science Foundation and from
companies. Faculty members include:
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Kobi Abayomi - Statistics/Measures of Association and Dependence, (Fixed Marginal)
Multivariate Distributions, Environmental Statistics, Environmental Economics.
Nagi Gebraeel - Sensor-Based Prognostics, Degradation Modeling, and Engineering
Reliability
Dave Goldsman - Comparisons via stochastic simulation; Statistical ranking and selection
Xiaoming Huo - Multiscale statistical methods, data mining.
Paul Kvam - Reliability; Applied engineering statistics; Nonparametric estimation
JC Lu - Statistics for manufacturing; Reliability; Degradation modeling
Yajun Mei - Change-Point problems, sequential analysis, sensor networks, biostatistics
Nicoleta Serban - Analysis of multiple curves and analysis of multiple peaks
Alex Shapiro - Mathematical programming and statistics; Sensitivity analysis
Kwok Tsui - Statistical quality control including SPC, design of experiments, Taguchi
Method
Roshan Joseph Vengazhiyil - robust parameter design, process control
Brani Vidakovic - Multiscale methods, statistical methods in geophysics, turbulence,
bayesian decision theory
Jeff Wu - Design and analysis of experiments, quality engineering, product/process
improvement, bioinformatics
MingYuan - Statistical learning, bioinformatics, methods of regularization
课程对比
Gatech
CORE (12 hrs required)
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Math 4261 Mathematical Statistics I
Math 4262 Mathematical Statistics II
ISyE 6414 Statistical Modeling and Regression Analysis
ISyE 7400 Advanced Design of Experiments or ISyE 7401 Advanced
Statistical Modeling
THEORY/ADVANCED (select 6 hrs)
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ISyE
Math
Math
Math
ISyE
ISyE
ISyE
ISyE
7441
6262
6263
4317
7405
6761
6762
6781
Theory of Linear Models
Statistical Estimation
Testing Statistical Hypotheses
Real Analysis
Multivariate Data Analysis
Stochastic Processes I
Stochastic Processes II
Reliability Theory
METHODS (select 6 hrs)
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ISyE 6404 Nonparametric Data Analysis
ISyE 6405 Statistical Methods for Manufacturing Design and
Improvement
ISyE 6805 Reliability Engineering
ISyE 6402 Time-Series Analysis
ISyE 6413 Design and Analysis of Experiments
PROBABILITY/STATISTICS ELECTIVE (select 3 hrs)
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ISyE 6650 Probabilistic Models and Their Applications
ISyE 6644 Simulation
ISyE 6656 Queueing Theory and Applications
FREE ELECTIVE (3 hrs)
TOTAL HOURS REQUIRED 30
UCLA
网站上列出的课程和 GaTech 的基本一致，但提出了 Advising
plan 这是另俩家项目都没有的
The vice chair for graduate studies is the chief graduate adviser and heads a committee
of faculty advisers who may serve as academic advisers. The research interests of the
members of this committee span most of the major areas of statistics. During their first
quarter in the program students are required to meet with an academic adviser who
assists them in planning a reasonable course of study. In addition, the academic adviser
is responsible for monitoring the student’s degree progress and approving the study list
each quarter. After the student identifies a thesis topic, the chair of the thesis committee
becomes the student’s academic adviser.
Continuing students should meet with either the vice chair for graduate studies or their
academic adviser at least once each quarter and a record of this interview is placed in
the student’s academic file. Each Spring a committee consisting of all regular
departmental faculty meet to evaluate the progress of all enrolled M.S. degree students.
This committee decides if students are making satisfactory progress, and if not offers
specific recommendations to correct the situation. For students who have begin thesis
work, the determination of satisfactory progress is typically delegated to the academic
adviser. Students who are found to be consistently performing unsatisfactorily may be
recommended for termination by a vote of this committee.
通过该 plan,学生能够对所要学习的领域有教授的特殊指导，这点明显优于其他的项目
在网上找到了一些网友的评论
UCLA
Statistics
统计系在 UC 系列中仅次于 Berkeley，比较不错，做偏计算机方向（信息论，计算机图形学）的老师比较
多，UCLA 的 Anderson School of Management 也很厉害。地理位置非常理想，就业机会多
所以综上所述得出了我的偏好