Monday, March 23: We finished the last part of the lecture notes from Chapter 4 (V26_ch4_points.pdf), where we had a brief discussion about the connection between Gaussian Markov random field and Gaussian random fields. Then, we continued with the discussion of spatio-temporal data in Chapter 5 of the book, where we covered visualisation of spatio-temporal data and briefly mentioned dimension reduction with empirical orthogonal functions. This discussion will continuous on April 13, which is the next Monday session in the course due to Easter break.?
Friday, March 20: We went through Exercises 11 and 12 for week 12, where we analysed a point process data set with independent repeated point patterns. This involved both investigating some summary statistics as well as concrete point process models for clustered patterns.?
Monday, March 16: We covered the remainder of the material on point processes from the lecture notes on point processes (V26_ch4_points.pdf). We still need to discuss the final part of these lecture notes on the connections between discrete and continuous space.?
Monday, March 9: We started discussing Chapter 4.2 on point processes and went through the first 26 slides in the lecture notes on point processes (V26_ch4_points.pdf).?
Monday, February 9: We finished discussing Chapter 4.1 (V26_03_ch4_geostat.pdf) and started discussing lattice processes which is the material from Chapter 4.2 in the book (V26_ch4_lattice.pdf).?
Friday, February 6: We covered Exercise 5 and parts (a)-(c) of Exercise 6. The solutions are available in the GitHub repository.?
Monday, February 2: We started discussing Chapter 4.1 in the book and covered slides 26-52 in the lecture notes on spatial geostatistical processses (V26_03_ch4_geostat.pdf). We will continue with the last session on continuous spatial ?processes next Monday.?
Friday, January 30: We discussed Exercises 1, 3 and 4. The solutions have been posted to the GitHub repository.?
Monday, January 26: We started discussing Chapter 4.1 in the book and covered the first 25 slides in the lecture notes on spatial geostatistical processses (V26_03_ch4_geostat.pdf). We will continue from there next Monday.?
Friday, January 23: We finished going through lecture 2 on temporal processes and discussed Exercise 2 which is directly related to the last example in lecture 2. Since we didn't get to Exercise 1, we will discuss it in the exercise session on January 30.?
For further reading on time series, I recommend the online book Forecasting: Principles and Practice by Hyndman and Athanasopoulos (see also the older second edition for code example using the forecast package; differences between the two editions are discussed here). This book covers many topics on time series. The most relevant topics for us are the chapters or regression models and ARIMA models.?
Monday, January 19: We went through the introduction material. This corresponds to Chapters 1 and 2 in the book which provide a nice background information. We also started going through lecture 2 on temporal processes, where we made it as far as page 15. Here, we cover the material in Chapters 3.1, 3.3 and 3.4 in the book.?
Note that the book we will use later in the semester for extreme value statistics in not yet published. A preliminary version of the chapters we will cover is available in Canvas. To find it, navigate to the folder HandbookExtremes under Files.?
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