STAT 578

Fall 2018

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Topics in Statistics
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Credit: 4 hours.

May be repeated if topics vary. Prerequisite: Consent of instructor.

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CRN Type Section Time Day Location Instructor Section Details
30959
Lecture-Discussion
A1
12:30PM -1:50PM
TR
108 English Building
Narisetty, N
Part of Term:
1
Date Range:
08/27/18-12/12/18
Section Title:
Advanced Statistical Modeling
Section Info:
For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration TOPIC: Topics in Advanced Statistical Modeling and Research PREREQS: STAT 425, STAT 510, and STAT 511 DESCRIPTION: The course will cover some of the advanced topics relevant in modern statistical modeling and research. Potential topics include Bayesian hierarchical modeling, high dimensional data analysis, model selection and inference after model selection, quantile regression, etc. Students are expected to give presentations and/or to do a project related to a topic covered in the class.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
48733
Online
DSO
ARRANGED
n.a.
n.a.
Park, T
Part of Term:
1
Date Range:
08/27/18-12/12/18
Section Title:
Advanced Bayesian Modeling
Section Info:
Restricted to online MCS-DS students. Additional ID Verification Coursera and ProctorU fees may apply. For more details on this course section, please see http://engineering.illinois.edu/online/courses/. Non-Degree seeking students may enroll on a space-available basis with consent. To request enrollment, please complete the “Non-Degree Enrollment Request Form” here: https://illinois.edu/fb/sec/9478165 Sections (and CRNs) for on-campus, degree-seeking students are: STAT 578 A1 (30959). Equivalency: CS 598 section DSO (CRN 69343) is equivalent to STAT 578 section DSO (CRN 48733). This is not true for all sections of CS 598 and STAT 578: it only applies to these specific sections in the fall 2017 term. Since this is not an official cross-listing, they might not automatically be recognized as equivalent for your degree audit. To determine whether extra steps need to be completed for either section to count towards your degree, contact your advisor. For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration TOPIC: Advanced Bayesian Modeling Description: This class meets with CS 598 section DSO (CRN 69343). Practical methods and models for Bayesian data analysis. Topics include Bayesian fundamentals, prior selection, posterior inference tools, hierarchical models, methods of Bayesian computation, model evaluation, and ordinary and generalized regression models. Emphasis on computational implementation. Prerequisites: STAT 420 and knowledge of R.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
Restricted to MCS:Computer Sci Online -UIUC or NDEG:Computer Science Onl-UIUC.
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