Title  Instructor(s)  Quarter  Day, Time, Location 

Riding the Data Wave STATS 48N (section 1) Imagine collecting a bit of your saliva and sending it in to one of the personalized genomics company: for very little money you will get back information about hundreds... 
Sabatti, C.  20152016 Autumn 
Tuesday Thursday 9:00am  10:20am 5052H 
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160) STATS 60 (section 2) Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of... 
20152016 Autumn  
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160) STATS 60 (section 2) Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of... 
20152016 Autumn  
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160) STATS 60 (section 5) Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of... 
Walther, G.  20152016 Autumn  
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160) STATS 60 (section 5) Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of... 
Walther, G.  20152016 Autumn  
Statistical Methods in Engineering and the Physical Sciences STATS 110 (section 1) Introduction to statistics for engineers and physical scientists. Topics: descriptive statistics, probability, interval estimation, tests of hypotheses, nonparametric... 
Rajaratnam, B.  20152016 Autumn 
Monday Tuesday Wednesday Thursday 11:30am  12:20pm Hewlett Teaching Center 201 
Statistical Methods in Engineering and the Physical Sciences STATS 110 (section 1) Introduction to statistics for engineers and physical scientists. Topics: descriptive statistics, probability, interval estimation, tests of hypotheses, nonparametric... 
Rajaratnam, B.  20152016 Autumn 
Monday Tuesday Wednesday Thursday 11:30am  12:20pm Hewlett Teaching Center 201 
Theory of Probability STATS 116 (section 1) Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and... 
20152016 Autumn 
Monday Tuesday Wednesday Thursday Friday 10:30am  11:20am Braunlec 

Theory of Probability STATS 116 (section 1) Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and... 
20152016 Autumn 
Monday Tuesday Wednesday Thursday Friday 10:30am  11:20am Braunlec 

Biostatistics (BIO 141) STATS 141 (section 1) Introductory statistical methods for biological data: describing data (numerical and graphical summaries); introduction to probability; and statistical inference (... 
Mukherjee, R.  20152016 Autumn 
Tuesday Thursday 1:30pm  2:50pm 370370 
Statistical Methods in Computational Genetics STATS 155 (section 1) The computational methods necessary for the construction and evaluation of sequence alignments and phylogenies built from molecular data and genetic data such as micro... 
Holmes, S.  20152016 Autumn 
12:00am  12:00am 
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 60) STATS 160 (section 1) Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of... 
Walther, G.  20152016 Autumn 
Monday Tuesday Wednesday Thursday Friday 9:30am  10:20am 420040 
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 60) STATS 160 (section 1) Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of... 
Walther, G.  20152016 Autumn 
Monday Tuesday Wednesday Thursday Friday 9:30am  10:20am 420040 
Introduction to R (CME 195) STATS 195 (section 1) This short course runs for the first four weeks of the quarter and is offered in fall and spring. It is recommended for students who want to use R in statistics, science... 
Suo, X.  20152016 Autumn 
Tuesday Thursday 12:00pm  1:20pm Hewlett Teaching Center Rm 101 
Introduction to Statistical Inference STATS 200 (section 1) Modern statistical concepts and procedures derived from a mathematical framework. Statistical inference, decision theory; point and interval estimation, tests of... 
Siegmund, D.  20152016 Autumn 
Tuesday Thursday 9:00am  10:20am 260113 
Introduction to Statistical Inference STATS 200 (section 1) Modern statistical concepts and procedures derived from a mathematical framework. Statistical inference, decision theory; point and interval estimation, tests of... 
Siegmund, D.  20152016 Autumn 
Tuesday Thursday 9:00am  10:20am 260113 
Data Mining and Analysis STATS 202 (section 1) Data mining is used to discover patterns and relationships in data. Emphasis is on large complex data sets such as those in very large databases or through web mining.... 
Mackey, L.  20152016 Autumn 
Monday Wednesday Friday 1:30pm  2:20pm Skillaud 
Data Mining and Analysis STATS 202 (section 1) Data mining is used to discover patterns and relationships in data. Emphasis is on large complex data sets such as those in very large databases or through web mining.... 
Mackey, L.  20152016 Autumn 
Monday Wednesday Friday 1:30pm  2:20pm Skillaud 
Applied Multivariate Analysis STATS 206 (section 1) Introduction to the statistical analysis of several quantitative measurements on each observational unit. Emphasis is on concepts, computerintensive methods. Examples... 
Johnstone, I.  20152016 Autumn 
Monday Wednesday 3:00pm  4:20pm Sequoia Hall 200 
Stochastic Processes (MATH 136) STATS 219 (section 1) Introduction to measure theory, Lp spaces and Hilbert spaces. Random variables, expectation, conditional expectation, conditional distribution. Uniform integrability,... 
Zheng, T.  20152016 Autumn 
Monday Wednesday Friday 10:30am  11:20am 380380D 
Statistical Methods for Longitudinal Research (EDUC 351A) STATS 222 (section 1) Research designs and statistical procedures for timeordered (repeatedmeasures) data. The analysis of longitudinal panel data is central to empirical research on learning... 
Rogosa, D.  20152016 Autumn 
Thursday 3:00pm  5:50pm Sequoia Hall 200 
Machine Learning (CS 229) STATS 229 (section 1) Topics: statistical pattern recognition, linear and nonlinear regression, nonparametric methods, exponential family, GLMs, support vector machines, kernel methods, model... 
Ng, A.  20152016 Autumn 
Monday Wednesday 9:30am  10:50am NVIDIA Auditorium 
Mathematical and Computational Finance Seminar (CME 242) STATS 239 (section 1) 
Jain, K.  20152016 Autumn 
Thursday 4:30pm  5:50pm School of Education 334 
Statistical Methods in Finance STATS 240 (section 1) (SCPD students register for 240P.) Regression analysis and applications to investment models. Principal components and multivariate analysis. Likelihood inference and... 
Lai, T.  20152016 Autumn 
Friday 10:30am  12:20pm Gates B3 
Statistical Methods in Finance STATS 240P (section 1) For SCPD students; see 240. 
Lai, T.  20152016 Autumn 
Friday 10:30am  12:20pm 
Datadriven Financial and Risk Econometrics STATS 241 (section 1) (SCPD students register for 241P) Substantive and empirical modeling approaches in options, interest rate, and credit markets. Nonlinear least squares, logistic regression... 
Tsang, K.  20152016 Autumn 
Friday 1:30pm  3:20pm 
Datadriven Financial and Risk Econometrics STATS 241P (section 1) For SCPD students; see STATS241. 
Tsang, K.  20152016 Autumn 
Friday 1:30pm  3:20pm Huang Engineerig Center 18 
Workshop in Biostatistics (HRP 260A) STATS 260A (section 1) Applications of statistical techniques to current problems in medical science. To receive credit for one or two units, a student must attend every workshop. To receive two... 
Olshen, R., Sabatti, C.  20152016 Autumn 
Thursday 1:30pm  2:50pm MSOBX303 
Theory of Statistics STATS 300A (section 1) Finite sample optimality of statistical procedures; Decision theory: loss, risk, admissibility; Principles of data reduction: sufficiency, ancillarity, completeness;... 
Mackey, L.  20152016 Autumn 
Tuesday Thursday 1:30pm  2:50pm Mitchb67 
PhD First Year Student Workshop STATS 303 (section 1) For Statistics First Year PhD students only. Discussion of relevant topics in first year student courses, consultation with PhD advisor. 
Holmes, S.  20152016 Autumn 
Monday Wednesday 12:30pm  1:20pm Sequoia Hall 200 
PhD First Year Student Workshop STATS 303 (section 1) For Statistics First Year PhD students only. Discussion of relevant topics in first year student courses, consultation with PhD advisor. 
Holmes, S.  20152016 Autumn 
Monday Wednesday 12:30pm  1:20pm Sequoia Hall 200 
Introduction to Statistical Modeling STATS 305 (section 1) Review of univariate regression. Multiple regression. Geometry, subspaces, orthogonality, projections, normal equations, rank deficiency, estimable functions and Gauss... 
Tibshirani, R.  20152016 Autumn 
Tuesday Thursday 10:30am  11:50am School of Education 128 
Advanced Statistical Theory STATS 314A (section 1) Covers a range of topics, including: empirical processes, asymptotic efficiency, uniform convergence of measures, contiguity, resampling methods, Edgeworth expansions. 
Romano, J.  20152016 Autumn 
Tuesday Thursday 1:30pm  2:50pm Hewlett Teaching Center 103 
Literature of Statistics STATS 319 (section 1) Literature study of topics in statistics and probability culminating in oral and written reports. May be repeated for credit. 
Wong, W.  20152016 Autumn 
Monday 1:30pm  2:50pm 380381U 
Function Estimation in White Noise STATS 322 (section 1) Gaussian white noise model sequence space form. Hyperrectangles, quadratic convexity, and Pinsker's theorem. Minimax estimation on Lp balls and Besov spaces. Role of... 
Johnstone, I.  20152016 Autumn 
Tuesday Thursday 10:30am  11:50am Mitchb67 
Consulting Workshop STATS 390 (section 1) Skills required of practicing statistical consultants, including exposure to statistical applications. Students participate as consultants in the department's dropin... 
Switzer, P.  20152016 Autumn 
Friday 12:30pm  2:20pm Sequoia Hall 200 
Consulting Workshop STATS 390 (section 1) Skills required of practicing statistical consultants, including exposure to statistical applications. Students participate as consultants in the department's dropin... 
Switzer, P.  20152016 Autumn 
Friday 12:30pm  2:20pm Sequoia Hall 200 