2013-2014 2014-2015 2015-2016 2016-2017 2017-2018
 Browseby subject... Scheduleview...

# 1 - 5 of 5 results for: STATS305

## STATS 270:Bayesian Statistics I (STATS 370)

This is the first of a two course sequence on modern Bayesian statistics. Topics covered include: real world examples of large scale Bayesian analysis; basic tools (models, conjugate priors and their mixtures); Bayesian estimates, tests and credible intervals; foundations (axioms, exchangeability, likelihood principle); Bayesian computations (Gibbs sampler, data augmentation, etc.); prior specification. Prerequisites: statistics and probability at the level of Stats300A, Stats305, and Stats310.
Terms: Win | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Wong, W. (PI)

## STATS 305A:Introduction to Statistical Modeling

Review of univariate regression. Multiple regression. Geometry, subspaces, orthogonality, projections, normal equations, rank deficiency, estimable functions and Gauss-Markov theorem. Computation via QR decomposition, Gramm-Schmidt orthogonalization and the SVD. Interpreting coefficients, collinearity, graphical displays. Fits and the Hat matrix, leverage & influence, diagnostics, weighted least squares and resistance. Model selection, Cp/Aic and crossvalidation, stepwise, lasso. Basis expansions, splines. Multivariate normal distribution theory. ANOVA: Sources of measurements, fixed and random effects, randomization. Emphasis on problem sets involving substantive computations with data sets. Prerequisites: consent of instructor, 116, 200, applied statistics course, CS 106A, MATH 114. (NB: prior to 2016-17 the 305ABC series was numbered as 305, 306A and 306B).
Terms: Aut | Units: 3 | Grading: Letter or Credit/No Credit

## STATS 305B:Methods for Applied Statistics I: Exponential Families in Theory and Practice

Exponential families are central to parametric statistical inference. This course emphasizes the applied aspects of exponential family theory, with special emphasis on Generalized Linear Models. Prerequisite: 305A or equivalent. (NB: prior to 2016-17 the 305ABC series was numbered as 305, 306A and 306B).
Terms: Win | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Efron, B. (PI)

## STATS 305C:Methods for Applied Statistics II: Applied Multivariate Statistics

Theory, computational aspects, and practice of a variety of important multivariate statistical tools for data analysis. Topics include classical multivariate Gaussian and undirected graphical models, graphical displays. PCA, SVD and generalizations including canonical correlation analysis, linear discriminant analysis, correspondence analysis, with focus on recent variants. Factor analysis and independent component analysis. Topic modeling. Multidimensionalnscaling and its variants (e.g. Isomap, spectral clustering). Matrix completion. nStudents will be expected to program - ideally in R. Prerequisites: Stats305a and Stats 305b or equivalent. (NB: prior to 2016-17 the 305ABC series was numbered as 305, 306A and 306B).
Terms: Spr | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Hastie, T. (PI)

## STATS 370:Bayesian Statistics I (STATS 270)

This is the first of a two course sequence on modern Bayesian statistics. Topics covered include: real world examples of large scale Bayesian analysis; basic tools (models, conjugate priors and their mixtures); Bayesian estimates, tests and credible intervals; foundations (axioms, exchangeability, likelihood principle); Bayesian computations (Gibbs sampler, data augmentation, etc.); prior specification. Prerequisites: statistics and probability at the level of Stats300A, Stats305, and Stats310.
Terms: Win | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Wong, W. (PI)
Filter Results:
term offered
 Autumn Winter Spring Summer
updating results...
number of units
 1 unit 2 units 3 units 4 units 5 units >5 units
updating results...
time offered
 early morning (before 10am) morning (10am-12pm) lunchtime (12pm-2pm) afternoon (2pm-5pm) evening (after 5pm)
updating results...
days
 Monday Tuesday Wednesday Thursday Friday Saturday Sunday
updating results...
UG Requirements (GERs)
 DB:Hum DB:Math DB:SocSci DB:EngrAppSci DB:NatSci EC:EthicReas EC:GlobalCom EC:AmerCul EC:Gender IHUM1 IHUM2 IHUM3 Language Writing 1 Writing 2 Writing SLE WAY-A-II WAY-AQR WAY-CE WAY-ED WAY-ER WAY-FR WAY-SI WAY-SMA
updating results...
component
 Lecture (LEC) Seminar (SEM) Discussion Section (DIS) Laboratory (LAB) Lab Section (LBS) Activity (ACT) Case Study (CAS) Colloquium (COL) Workshop (WKS) Independent Study (INS) Intro Dial, Sophomore (IDS) Intro Sem, Freshman (ISF) Intro Sem, Sophomore (ISS) Internship (ITR) Arts Intensive Program (API) Language (LNG) Practicum (PRA) Practicum (PRC) Research (RES) Sophomore College (SCS) Thesis/Dissertation (T/D)
updating results...
career