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Stat 219 Advanced Topics in Machine Learning
Stat 219 Advanced Topics in Machine Learning
Advanced topics, extensions, and new areas or latest developments in machine learning; contemporary topics in and applications to artificial intelligence and data science.
may be taken more than once, provided that the topics are different; topics must be indicated for record purposesÂ
Prereq: Syay 218/COI. 3 hours, 3 units
Stat 240 High Dimensional Data
Stat 240 High Dimensional Data
High dimensional data; high dimensional data visualization; high dimensional data analysis; dimension reduction; pattern search; clustering; applications.
Prereq: Stat 218/223/233/equiv/COI, Stat 217/226/equiv/COI. 3 hours, 3 units
Stat 241 Nonlinear Regression
Stat 241 Nonlinear Regression
Classification of nonlinear models; iterative estimation and linear approximation; practical considerations: model specification, starting values, transformations; convergence; multiresponse model; models from differential equations; nonlinear inference regions; measures of nonlinearity; applications.
Prereq: Stat 218/223/233/equiv/COI. 3 hours, 3 units
Stat 245 Survival Analysis
Stat 245 Survival Analysis
Functions of survival time; estimation of survival functions; survival distributions and their applications; distribution fitting and goodness-of-fit tests.
Prereq: Stat 207/222/232/equiv/COI. 3 hours, 3 units
Stat 247 Data Mining and Business Intelligence
Stat 247 Data Mining and Business Intelligence
Principles of data mining; methods of data mining; themes of data mining; applications of data mining in business intelligence.
Prereq: COI. 3 hours, 3 units
Stat 249 Nonparametric Modeling
Stat 249 Nonparametric Modeling
Smoothing methods; kernel smoothing; spline smoothing; regression trees; projection pursuit; nonparametric regression; cross-validation; scoring; high dimensional predictors; additive models; backfitting.
Prereq: Stat 207/222/232/equiv/COI, Stat 218/223/233/equiv/COI. 3 hours, 3 units
Stat 260 Quantitative Risk Management
Stat 260 Quantitative Risk Management
Market risk; financial time series; copulas; extreme value theory; credit risk models; operational risks.
Prereq: Stat 218/223/233/equiv/COI, Stat 225/equiv/COI. 3 hours, 3 units
Stat 263 Bayesian Analysis
Stat 263 Bayesian Analysis
Bayesian inference; empirical and hierarchical analysis; robustness; numerical procedures.
Prereq: Stat 207/222/232/equiv/COI. 3 hours, 3 units
Stat 268 Advanced Time Series Analysis
Stat 268 Advanced Time Series Analysis
Nonstationarity; cointegration; intervention models; State space models; transfer functions; frequency domain; panel data; nonparametric methods for time series; nonparametric prediction; AR-Sieve; block bootstrap.
Prereq: Stat 218/223/233/equiv/COI, Stat 225/equiv/COI. 3 hours, 3 units
Stat 269 Advanced Categorical Data Analysis
Stat 269 Advanced Categorical Data Analysis
Probability structure of categorical data; modelling count data with heterogeneous mean; models for multinomial responses; postulation, estimation, evaluation of various parametrization of models for categorical data; assessment and handling of overdispersion in count data; clustered categorical data; advanced topics.
Prereq: Stat 207/243/equiv/COI. 3 hours, 3 units
Stat 280 Special Fields of Statistics
Stat 280 Special Fields of Statistics
Courses in special fields, new areas or latest developments in Statistics.
may be repeated provided that the topics are different; topics to be indicated for record purposes
Prereq: COI. 3 hours, 3 units
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