Messages - Page 2

We used time this first week to think through the basic organisational elements of the course and the teaching material -- you should all get on board Hjort-Stoltenberg's PartOne and PartTwo (and find a printer). 

I have uploaded R code scripts, related to (i) Odin's children, (ii) the streetcars of San Francisco, (iii) Poisson data with gamma priors.

How to enjoy the course & get the most out of life (and with a good mark at the end): stay tuned, work with Exercises and Stories, try things, check not only the math but altso the interpretations and implications of each exercise, play with code, sample & have a look through various Stories (without necessesarily doing them, yet), f?lg med i timen.

This Week 1 (Aug 18 ff): we've essentially been through exercises 1, 2, 3, 4, 5, and the Bayesian part of Story #41.

For Week 2 (Aug 25 ff): we start with the dramatic Story #13, where you shouod work through the Bayesian parts. Th...

PartOne and PartTwo of The Book, "Statistical Inference: 600 Exercises, 100 Stories" by Nils Lid Hjort and Emil Stoltenberg, are now uploaded at the course website. Find a printer.

PartOne has Chs 1, 3, 5, 7, 8, 13, 14, where the curriculum will mostly focus on 7 and 14 -- but where we shall need material from Ch 5 (lots of likelihoods), Ch 1 (lots of models), a bit from Ch 13 (Markov chains, for MCMC computations). PartTwo has the current version of the 100 Stories, where we shall delve into perhaps a dozen of these as the course proceeds. 

Teaching, 2 + 2 hours per week, will be a mix of lecture style going through theory, and doing, discussing, learning from the many exercises and stories. 

Exercises for Weeks 1 (Mon 18 Aug plus) and 2 (Mon 25 Aug plus): we dive right into Ch 7, and aim at going through exercises 1, 2, 3, 4, 5, 7, 9. Also do the Bayesian part of Story #41. 

I do indeed judge an exclamation mark to be in order here (I otherwise use it sparingly). I hope for & predict a good & lively course on Bayesian methodology & applications, starting Mon August 18.

Teaching is Mon 12:15 - 14:00 (Room 107) and Wed 12:15 - 14:00 (Room 108). "Regne?velser" will to some extent be integrated with the "forelesninger", and the overall balance will be about 3 hr lectures plus 1 hr exercises, each week, but for some weeks closer to 2 + 2.

The teaching material will be decided on more accurately at the start of August, but will be taken from 

(i) N.L. Hjort and E.Aa. Stoltenberg (2025): "Statistical Inference: 600 Exercises, 100 Stories", some of the chapters; 

(ii) earlier Course Notes, from previous versions of the course, byt N.L. Hjort (2021) and by D. Christensen (2024).

The (ii) documents are available below at the course site, and the (i) document will be uploaded ...