STAT313-23S1 (C) Semester One 2023

Computational Statistics

15 points

Start Date: Monday, 20 February 2023
End Date: Sunday, 25 June 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 5 March 2023
  • Without academic penalty (including no fee refund): Sunday, 14 May 2023


This course is an introduction to nonparametric statistical methods based on empirical distribution functions, kernel smoothing, bootstrap, and resampling. We will study these methods by looking at their theoretical properties and their performance in practical data analysis

We will learn how to estimate or test hypothesis about distribution functions, densities, and regression functions without assuming prior knowledge about the form of these functions. While the estimate of a standard linear regression model is always a linear regression function, the result of nonparametric regression can be any smooth function that provides a good fit to the data. Nonparametric methods often give better results for large samples but are computationally more demanding and have different data requirements than the standard methods. We will look into theoretical properties of nonparametric methods and learn how to apply these methods using R.


15 points from 200 level MATH or EMTH, STAT210-299 or DATA203

Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 12:00 - 13:00 Elsie Locke 104A
20 Feb - 2 Apr
24 Apr - 4 Jun
Lecture B
Activity Day Time Location Weeks
01 Tuesday 14:00 - 15:00 Ernest Rutherford 141
20 Feb - 2 Apr
24 Apr - 4 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Tuesday 15:00 - 16:00 Jack Erskine 442 Computer Lab
20 Feb - 2 Apr
24 Apr - 4 Jun


Fabian Dunker

Indicative Fees

Domestic fee $824.00

International fee $4,750.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mathematics and Statistics .

All STAT313 Occurrences

  • STAT313-23S1 (C) Semester One 2023