fixup! fixup! Add Readme v1.

RomeoV · May 23, 2024 · 3499303 · 3499303
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diff --git a/README.md b/README.md
@@ -51,7 +51,7 @@ Therefore `predictdist(::MCMCEstimator, xs, ys, nsamples)` will create `nsamples
 
 ### LSQEstimator
 The `LSQEstimator` works by sampling noise $\varepsilon^{(k)}$ from the noise model and repeatedly solving a least-squares parameter estimation problem for modified measurements $y - \varepsilon^{(k)}$, i.e.
-$$ \theta = \arg \min_\theta \sum_i ((y_i - \varepsilon_i^{(i)}) - f(x, \theta))^2 \cdot w_i $$
+$$\theta = \arg \min_\theta \sum_i ((y_i - \varepsilon_i^{(i)}) - f(x, \theta))^2 \cdot w_i$$
 for uncorrelated noise, where the weights $w_i$ are chosen as the inverse variance.
 For correlated noise, the weight results from the whole covariance matrix.
 

diff --git a/figs/distribution_graph/distribution_graph.pdf b/figs/distribution_graph/distribution_graph.pdf
diff --git a/figs/distribution_graph/distribution_graph.png b/figs/distribution_graph/distribution_graph.png