From ba3104c66c61e180bb8b9173edc67337a1c4c5c0 Mon Sep 17 00:00:00 2001 From: Will King Date: Wed, 9 Feb 2022 11:43:33 -0800 Subject: [PATCH] Update 'Concept paper 2022 02 09' --- Concept-paper-2022-02-09.md | 1 + 1 file changed, 1 insertion(+) diff --git a/Concept-paper-2022-02-09.md b/Concept-paper-2022-02-09.md index 6936c34..3668bb1 100644 --- a/Concept-paper-2022-02-09.md +++ b/Concept-paper-2022-02-09.md @@ -62,6 +62,7 @@ Overall this would allow me to construct a probabalistic description of passing The probabalistic model could then be used to answer various questions, including causal/structural questions. It would also be straightforward to develop simulations from this approach, as the probabilities are right there. +# Data # Estimation Strategy Probably use a non-parametric (np-bayesian?) approach to estimating the probability densities.