From 7596b8be6a8ae5bb560f4a1dc38ee6e97c8b1fa6 Mon Sep 17 00:00:00 2001 From: Sam Abbott Date: Tue, 5 Nov 2024 12:22:31 +0700 Subject: [PATCH 1/2] Update closing.qmd --- sessions/slides/closing.qmd | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/sessions/slides/closing.qmd b/sessions/slides/closing.qmd index 64818d1..a1ed0bb 100644 --- a/sessions/slides/closing.qmd +++ b/sessions/slides/closing.qmd @@ -22,7 +22,8 @@ format: - forecast visualisation (session 1) - forecast evaluation (session 2) -- forecast ensembles (sesion 3) +- forecast evaluation of multiple models (session 3) +- forecast ensembles (session 4) # Key takeaways @@ -40,7 +41,7 @@ format: ### Session 3: Forecast ensembles - forecasts can combine **forecasts from multiple models** -- simple ensembles often outperform indivdiual models +- simple ensembles often outperform individual models - weighted ensembles can learn from past performance aiming to make better forecasts ### Outlook {.smaller} From 9e493db22bdbc40524fb34165c47557283882c10 Mon Sep 17 00:00:00 2001 From: Sam Abbott Date: Tue, 5 Nov 2024 12:23:56 +0700 Subject: [PATCH 2/2] Update closing.qmd --- sessions/slides/closing.qmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sessions/slides/closing.qmd b/sessions/slides/closing.qmd index a1ed0bb..fff5d02 100644 --- a/sessions/slides/closing.qmd +++ b/sessions/slides/closing.qmd @@ -49,7 +49,7 @@ format: - it is worth trying some of these methods here in practice to learn more about typical forecast performance - one way of doing so is by contributing to forecast hubs -![](figures/respicast.png) +![](figures/respicast-forecasts.png) [https://respicast.ecdc.europa.eu/](https://respicast.ecdc.europa.eu/)