From b8b23d51c9ec8f9f7d20f0b79dba257c4be3f380 Mon Sep 17 00:00:00 2001 From: michaeldeistler Date: Thu, 30 Nov 2023 10:09:15 +0100 Subject: [PATCH] Fix link in tutorial --- tutorials/13_diagnostics_simulation_based_calibration.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tutorials/13_diagnostics_simulation_based_calibration.ipynb b/tutorials/13_diagnostics_simulation_based_calibration.ipynb index ca69bfa92..3c63d909f 100644 --- a/tutorials/13_diagnostics_simulation_based_calibration.ipynb +++ b/tutorials/13_diagnostics_simulation_based_calibration.ipynb @@ -6,7 +6,7 @@ "source": [ "# Simulation-based Calibration in SBI\n", "\n", - "After a density estimator has been trained with simulated data to obtain a posterior, the estimator should be made subject to several diagnostic tests, before being used for inference given the actual observed data. *Posterior Predictive Checks* (see tutorial 12) provide one way to \"critique\" a trained estimator via its predictive performance. Another important approach to such diagnostics is simulation-based calibration as reported by [Talts et al, 2018](https://arxiv.org/abs/1804.06788).\n", + "After a density estimator has been trained with simulated data to obtain a posterior, the estimator should be made subject to several diagnostic tests, before being used for inference given the actual observed data. *Posterior Predictive Checks* (see [previous tutorial](https://sbi-dev.github.io/sbi/tutorial/12_diagnostics_posterior_predictive_check/)) provide one way to \"critique\" a trained estimator via its predictive performance. Another important approach to such diagnostics is simulation-based calibration as developed by [Cook et al, 2006](https://www.tandfonline.com/doi/abs/10.1198/106186006X136976) and [Talts et al, 2018](https://arxiv.org/abs/1804.06788).\n", "\n", "**Simulation-based calibration** (SBC) provides a (qualitative) view and a quantitive measure to check, whether the uncertainties of the posterior are balanced, i.e., neither over-confident nor under-confident. As such, SBC can be viewed as a necessary condition (but not sufficient) for a valid inference algorithm: If SBC checks fail, this tells you that your inference is invalid. If SBC checks pass, this is no guarantee that the posterior estimation is working." ] @@ -896,7 +896,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.10.11" }, "name": "13_diagnosis_sbc.ipynb" },