class: center, middle, inverse, title-slide # Excercise 1 ### Martin Modrák ### 2021/08/24 (updated: 2022-01-26) --- # How this tutorial will work (hopefully) - Exercise - Tasks + questions - Bonuses - Materials will be available after the tutorial, so you can finish bonuses later. - Stuck? First ask your colleagues at the table. - If you're still stuck, let know any of the organizers. - It's for you! You can: - Mute everything and work alone - Take your time - Rush through everything --- # Task 1/1 Introduce yourself to the rest of the table. What projects are you working on? (3 questions for individual work follow) --- # Question 1/3 ## If SBC signals a problem, does it mean that the model needs fixing? --- # Question 2/3 ## When is a single fit enough to notice a problem? --- class: split-five .row[.content[ # Question 3/3 ]] .row[.content[ ### Given the rank histogram for a positive variable `sigma` below, which is the rank plot for `log(sigma)`? ]] .row[.content[ <!-- --> ]] .row[.content[ <!-- --><!-- --><!-- --> ]] .row[.content[ &nbsp; D) can't say, depends on additional properties of `sigma` ]] --- class: split-three .row[.content[ # Bonus Question 1 ### Match the following rank plots to ECDF plots Which of those signals a problem? How severe? ]] .row[.content[ <!-- --><!-- --><!-- --> ]] .row[.content[ <!-- --><!-- --><!-- --> ]] --- class: split-three .row[.content[ # Bonus Question 2 ### Match the following rank plots to ECDF diff plots Which of those corresponds to overdispersion/underdispersion? Overestimation/underestimation? ]] .row[.content[ <!-- --><!-- --><!-- --> ]] .row[.content[ <!-- --><!-- --><!-- --> ]]