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The trial exam is now available under the Exercises section. You can work on this under guidance on Friday 25 May. It is best if you look at the exercises before that.

The exercises 27 and 28 you can hand in and I will give you comments on this.

The syllabus is continuously updated. A list of missprints I have found is also given at the syllabus page. If you find any others, please tell me!

Next time we will discuss chapter 5 (and perhaps the start of chapter 6. Sec 5.1 you are supposed to read yourself. There is an R-script available at the rscript page that can be used to do the different types of vizualisation on the SST data. We will skip sec. 5.2 and mainly discuss sec 5.3 in the lecture.

A hint is included in exercise 13 e to make it a bit easier

There was one misprint in exercise 9 c) and one in exercise 10 h). These are now corrected. Sorry about this.

Some alternative reading for chapter 4 in the book is Hjort & Omre (1994) where section 3.1 covers sec 4.1 in the text book and section 3.2 covers sec 4.2 in the textbook

I have now put out a more detailed Syllabus of what we have talked about so far.

Next week we will talk about stuff from 4.1.4, 4.1.5 and non-gaussian processes (pages 142-144). Hopefylly we will also have time to start on discussing 4.2 (introduction and 4.2.1)

Friday 2. mars we will use all three hours for lecturing. Exercise 8 will be discussed later

Tips from Emil: If you need to install gstat, give the command install.packages('gstat', dependencies=TRUE) Choose Norway in the meny that comes up Geir

NOTE: No lectures Friday February 24.

For the next two weeks you can work on exercise 8. For this exercise you can write a small report and hand it in to me and I will give you feedback on this. I would like you to hand it in before Friday March 2, but if some of you need more time, take contact with me. Geir

Some small errors in the exercise for this week. These are now corrected.

Exam etc It turns out that we are not allowed to give compulsory assignments in this course. The exam will therefore only be a written exam. There will be given assignments that you can hand in and get feedback.

R-scripts used in exercises or lectures will now be put into the R-scripts folder while datasets will be put in the Data folder, both available in the left box of the web-page

There was a misprint in exercise 1 d). This is now corrected. Also an extra question to this exercise is included.

The presentation from today's lecture is available under "Teaching->Time and Place"

Welcome to STK4150/9150. The course will start at 10.15 on Friday 20 January. The first lecture will give an overview of the content of the chapter, covering partly chapters 1 and 2 in the book (most of these chapters you should read by yourself).

Under Teaching->Time and Place there is a lecture plan. We probably need more time on each topic, but at least it gives a plan for the order of topics we will cover. This plan will be updated during the course.