STATS521

Computational Statistics

2019

30

500

A Trimester

Hamilton

STAT321 or STATS321, or three other 300 level Statistics papers, and at the discretion of the Chairperson of Department

STAT421, STAT521

This paper covers maximum likelihood estimation, and the fitting of advanced regression models including non-linear models, mixture models and their generalisations. It will take a practical approach stressing the use of R packages and WinBugs or OpenBugs Bayesian software.

Teaching Periods and Locations
19A (HAM)
Paper outline 		A Trimester :
25 Feb 2019 - 23 Jun 2019 		Hamilton On-campus 100% internal assessment

If your paper outline is not linked below, try the previous year's version of this paper.

Timetabled lectures

19A (HAM)
Name Day Time Room Dates
Lecture 1 Tue 4:00 PM - 5:00 PM - Feb 26 - Jun 2
Lecture 2 Thur 3:00 PM - 4:00 PM - Feb 28 - Jun 2
Lecture 3 Fri 4:00 PM - 5:00 PM G.3.33, Hamilton Mar 1 - Jun 2
Visit the online timetable for this paper for more details

Indicative Fees

    • You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Domestic
International
19A (HAM) $1,936

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.
19A (HAM) $7,524

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Available subjects

Statistics

Data Analytics

Additional information

  • Paper details current as of 1 Jun 2024 00:12am
  • Indicative fees current as of 8 Jan 2025 01:20am