The Julia scientific programming language is making a positive impression on numerical analysts, data-scientists and even statisticians. This high level language aims to break the “2 language problem” by allowing development that is almost as easy as with Matlab, R or Python and execution running at speeds comparable to C or Fortran. There is no introductory statistics book for this language, so together with Hayden Klok, we embarked on the fun adventure of writing one. We are now at the point where the book is 80% complete (even though there still remain about 80% more work). Hence it is a good time to share ideas, code examples and images created – and get some feedback. In this talk I will present some neat selected examples from the book, illustrating both elementary statistical concepts and Julia code. The talk will also present a few little quirky facts from probability and statistics – exploring these facts may be fun as well.


About Applied and computational maths seminars

Our seminars bring together UQ's applied and computational mathematics communities.

UQ and invited scientists deliver the presentations, which are informal and promote discussion.

We welcome suggestions for speakers and topics from staff, students and visitors, and encourage students to share their work.

Our seminars are held on Thursdays from 3pm to 4pm in the Priestley Building (Building 67), Room 442.

To suggest a topic or speaker, and for more information, contact Dr Dietmar Oelz or Dr Fred Roosta-Khoransani.

Venue

Priestley Building (#67)
Room: 
442