Wiki source code of BANOCOSS2023 Workshop
Last modified by Maria Valaste on 2024/04/16 14:30
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| 1 | == [[Home >>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/]]| [[Aim and scope>>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/BANOCOSS2023%20AIMS%20AND%20SCOPE/]] | [[Call for Papers>>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/BANOCOSS2023%20Call%20for%20Papers/]] | [[Registration >>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/BANOCOSS2023%20Registration/]]| [[Important Dates>>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/BANOCOSS2023%20Important%20Dates/]] | [[Programme >>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/BANOCOSS2023%20Programme/]]| [[Workshop>>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/BANOCOSS2023%20Workshop/]] | [[Speakers >>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/BANOCOSS2023%20Speakers/]]| [[Instructions for Speakers>>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/BANOCOSS2023%20Instructions%20for%20Speakers/]] | [[Travel and Accommodation>>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/BANOCOSS2023%20Travel%20and%20Accommodation/]] | [[Sponsors >>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/BANOCOSS2023%20Sponsors/]]| [[Committees >>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/BANOCOSS2023%20Committees/]]| [[Contacts>>url:https://wiki.helsinki.fi/xwiki/bin/view/BNU/Events/BANOCOSS2023/BANOCOSS2023%20Contacts/]] == | ||
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| 3 | = Workshop on Multilevel regression and poststratification (MRP), 21 August 2023, 12 to 4 pm = | ||
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| 6 | //The half-day workshop on Multilevel regression and poststratification (MRP) will take place as part of the conference on Monday 21 August. Participation (onsite and online) is free of charge.// | ||
| 7 | |||
| 8 | Speaker: **[[Philipp Christian Broniecki>>url:https://philippbroniecki.com/||shape="rect" class="external-link"]], University of Oslo, Norway** | ||
| 9 | |||
| 10 | autoMrP is a tool for estimating public opinion in subnational units, such as states, from nationally representative surveys. It combines multilevel regression with post-stratification (MrP) and machine learning. MrP has become the gold standard for small area estimation. Researchers who want to apply MrP are faced with three problems: how to select features, how to specify the functional form, and how to regularize the model parameters. autoMrP, an R package available on CRAN ([[https:~~/~~/cran.r-project.org/package=autoMrP>>url:https://cran.r-project.org/package=autoMrP||shape="rect" class="external-link"]]), addresses these problems in a systematic way using machine learning techniques. The method is described in detail in Broniecki, P., Leemann, L., & Wüest, R. (2022). Improved Multilevel Regression with Poststratification through Machine Learning (autoMrP). //The Journal of Politics//, 84(1), 597-601. | ||
| 11 | |||
| 12 | Time: Monday 21 August 2023, 12 to 4 pm ([[Time zone: UTC+3>>url:https://time.is/UTC+3||shape="rect" class="external-link"]]) | ||
| 13 | |||
| 14 | Place: [[Soc&kom, Festsal>>url:https://tilavaraus.helsinki.fi/en/city-centre/swedish-school-social-science-snellmaninkatu-12/sockom-festsal||shape="rect"]], University of Helsinki and Zoom | ||
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| 16 | Registration form (NOTE. If you have already registered for the BaNoCoSS conference, you do not need to register again.): [[https:~~/~~/elomake.helsinki.fi/lomakkeet/124015/lomake.html>>url:https://elomake.helsinki.fi/lomakkeet/124015/lomake.html||shape="rect"]]. Registration is required for both in-person and online (virtual) participants. Link to the online platform used to share materials etc. will be communicated and opened for registered participants before the event. | ||
| 17 | |||
| 18 | **Bring your own laptop. Welcome!** | ||
| 19 | |||
| 20 | **Dropbox link: [[https:~~/~~/bit.ly/3KOQbCa>>url:https://bit.ly/3KOQbCa||shape="rect"]]** | ||
| 21 | |||
| 22 | == **Outline autoMrP hands-on course** == | ||
| 23 | |||
| 24 | Have [[R installed (preferably 4.x)>>url:https://www.r-project.org/||shape="rect"]]. We install packages from CRAN. In section 4 of the course, we apply autoMrP. Bring your questions and/or data if you have thought about working with autoMrP in your project. | ||
| 25 | |||
| 26 | 1) MrP, regularization, and the problem autoMrP attempts to solve (12 – 12.50 pm) | ||
| 27 | |||
| 28 | * Review the MrP approach, the random intercepts model with post-stratification | ||
| 29 | * How partial pooling regularizes | ||
| 30 | * The problem that autoMrP attempts to solve | ||
| 31 | * Practical: In R, estimate an MrP model using the autoMrP package | ||
| 32 | |||
| 33 | 10 minutes break | ||
| 34 | |||
| 35 | 2) Machine learning for prediction tasks (1 – 1.50 pm) | ||
| 36 | |||
| 37 | * Review central concepts: bias-variance trade-off, cross-validation, loss-functions | ||
| 38 | * Review best subset, k nearest neighbors, the lasso, support vector machine, gradient boosting | ||
| 39 | * Review ensembles | ||
| 40 | * autoMrP recipe | ||
| 41 | * Practical: Use autoMrP | ||
| 42 | |||
| 43 | 10 minutes break | ||
| 44 | |||
| 45 | 3) autoMrP in practice I (2 – 2.50 pm) | ||
| 46 | |||
| 47 | * how to construct the census data | ||
| 48 | * how to input custom folds | ||
| 49 | * uncertainty | ||
| 50 | |||
| 51 | 10 minutes break | ||
| 52 | |||
| 53 | 4) autoMrP in practice II (3 – 4 pm) | ||
| 54 | |||
| 55 | * complex sampling designs (weighting, clustering) | ||
| 56 | * lopsided dependent variables | ||
| 57 | * when not to use autoMrP and how to tell | ||
| 58 | * alternatives to autoMrP | ||
| 59 | * questions/solving problems with your data | ||
| 60 | |||
| 61 | |||
| 62 | |||
| 63 | ~-~-- | ||
| 64 | |||
| 65 | //Last update 21 August 2023// |