Statistical modelling
| 2024_FS_StatMod | |
| 18.03.2024 - 20.03.2024 | |
| 3 Tage | |
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Beginn Anmeldefrist: 01.11.2023 Ende Anmeldefrist: 28.02.2024 |
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| ETH Zürich, Zentrum | |
| -1 | |
| 16 | |
| Students enrolled in PSC PhD Programs: CHF 0 LSZGS PhD students: CHF 0 All others: CHF 300 | |
| ETH Zentrum, LEE E126 | |
| This comprehensive course is designed to equip participants with a deep understanding of linear regression and related advanced techniques using the statistical software R. Over three intensive days, we will cover essential concepts, hands-on exercises, and practical applications, ensuring that participants leave with the knowledge and skills needed to confidently apply these methods in real-world scenarios. Day 1: Introduction to Linear Regression and OLS Estimation. Day 2: Model Diagnostics, Robust Regression, and Variable Selection. Day 3: Nonlinear Regression, Splines, and General Additive Models. | |
| Dr. Barbara Templ Prof. Matthias Templ | |
| 1 | |
| PhD students Postdocs if places available | |
| Basic knowledge of the R language would be ideal, but is not essential. Participants without prior knowledge in R will be sent some preparatory material in advance. Please demand it. | |
| English | |
| In order to obtain the credit points, participants are required to attend all course days and hand in an assignment to be carried out at home. The details will be ex-plained during the course. The assignment is due no later than one week after the course has ended. | |
By registering you agree to the PSC course terms and conditions AGBs | |
| Arrange cancellation with the PSC coordination office (psc_phdprogram@ethz.ch): Up to 2 weeks prior to course start without a fine. Later cancellations and incomplete attendance without documented justification will incur a fee of 200 CHF. | |
| Students are required to bring their own computers, with the latest version of R downloaded from https://cran.r-project.org/. As an editor for R, we recommend to install the free desktop version of https://www.rstudio.com as well. | |
| Dr. Luisa Last (psc_phdprogram@ethz.ch) | |
| FS24_StatisticalModelling.pdfvertical_align_bottom |