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STAT 550: Nonparametric Function Est
3.00 Credits
Rice University
Survey of topics in data analysis including data visualization, multivariate density estimation, and nonparametric regression. Advanced applications will include clustering, discrimination, dimension reduction, and bump-hunting using nonparametric density procedures.
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STAT 550 - Nonparametric Function Est
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STAT 552: Applied Stochastic Processes
3.00 Credits
Rice University
This course covers the theory of some of the most frequently used stochastic processes in application; discrete and continuous time, Markov chains, Poisson and renewal processes, and Brownian motion.
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STAT 552 - Applied Stochastic Processes
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STAT 553: Biostatistics
3.00 Credits
Rice University
Same as STAT 453 with advanced problem sets.
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STAT 553 - Biostatistics
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STAT 582: Mathematical Probability Ii
3.00 Credits
Rice University
Continuation of STAT 581.
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STAT 582 - Mathematical Probability Ii
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STAT 591: Independent Study
1.00 - 6.00 Credits
Rice University
No course description available.
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STAT 591 - Independent Study
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STAT 600: Graduate Seminar In Statistics
1.00 Credits
Rice University
Students participate in the process of researching professional literature (journal articles, book chapters, dissertations), preparing, delivering and critiquing talks. Literature topics change each semester.
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STAT 600 - Graduate Seminar In Statistics
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STAT 601: Statistics Colloquium
1.00 Credits
Rice University
No course description available.
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STAT 601 - Statistics Colloquium
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STAT 606: Sas Statistical Programming
3.00 Credits
Rice University
This course will cover the following: (1) DATA step including arrays, merging, do-loop processing, if then else statements, set statements importing and exporting, space optimization, (2) PROC TABULATE and PROC REPORT, (3) Brief functions survey, e.g. random number generators, character and mathematical functions, time and data functions etc., (4) Formats, (5) Brief survey of statistical PROC's, (6) SAS ODS (Output Delivery System) from statistical procedures, (7) Output datasets from statistical procedures, (8) PROC GRAPH and Statistical Graphics Procedures (SGPLOT, SGPANEL, SGSCATTER), (9) PROC SQL (includes built-in short course on basic SQL), (10) PROC IML including functions, subroutines and optimization etc., (11) Macro programming facility. Priority registration is given to STAT majors.
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STAT 606 - Sas Statistical Programming
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STAT 610: Econometrics I
3.00 Credits
Rice University
Estimation and inference in single equation regression models, multicollinearity, autocorrelated and heteroskedastic disturbances, distributed lags, asymptotic theory, and maximum likelihood techniques. Emphasis is placed on the ability to analyze critically the literature.
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STAT 610 - Econometrics I
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STAT 622: Bayesian Data Analysis
3.00 Credits
Rice University
This course will cover Bayesian methods for analyzing data. The emphasis will be on applied data analysis rather than theoretical development. We will consider a variety of models, including linear regression, hierarchical models, and models for categorical data.
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STAT 622 - Bayesian Data Analysis
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