build based on cc0aa2c

dev/.documenter-siteinfo.json

@@ -1 +1 @@
-{"documenter":{"julia_version":"1.9.4","generation_timestamp":"2024-10-09T09:27:30","documenter_version":"1.7.0"}}
+{"documenter":{"julia_version":"1.9.4","generation_timestamp":"2024-10-09T10:55:54","documenter_version":"1.7.0"}}

dev/index.html

@@ -8,4 +8,4 @@
 	pages = {1--14},
 	doi = {10.1080/00031305.2023.2249522},
 	url = {https://doi.org/10.1080/00031305.2023.2249522}
-}</code></pre><h3 id="Papers-using-NeuralEstimators"><a class="docs-heading-anchor" href="#Papers-using-NeuralEstimators">Papers using NeuralEstimators</a><a id="Papers-using-NeuralEstimators-1"></a><a class="docs-heading-anchor-permalink" href="#Papers-using-NeuralEstimators" title="Permalink"></a></h3><ul><li><p><strong>Likelihood-free parameter estimation with neural Bayes estimators</strong> <a href="https://www.tandfonline.com/doi/full/10.1080/00031305.2023.2249522">[paper]</a> <a href="https://github.com/msainsburydale/NeuralBayesEstimators">[code]</a></p></li><li><p><strong>Neural Bayes estimators for censored inference with peaks-over-threshold models</strong> <a href="https://arxiv.org/abs/2306.15642">[paper]</a></p></li><li><p><strong>Neural Bayes estimators for irregular spatial data using graph neural networks</strong> <a href="https://arxiv.org/abs/2310.02600">[paper]</a><a href="https://github.com/msainsburydale/NeuralEstimatorsGNN">[code]</a></p></li><li><p><strong>Modern extreme value statistics for Utopian extremes</strong> <a href="https://arxiv.org/abs/2311.11054">[paper]</a></p></li><li><p><strong>Neural Methods for Amortised Inference</strong> <a href="https://arxiv.org/abs/2404.12484">[paper]</a><a href="https://github.com/andrewzm/Amortised_Neural_Inference_Review">[code]</a></p></li></ul><h3 id="Related-packages"><a class="docs-heading-anchor" href="#Related-packages">Related packages</a><a id="Related-packages-1"></a><a class="docs-heading-anchor-permalink" href="#Related-packages" title="Permalink"></a></h3><p>Several other software packages have been developed to facilitate neural likelihood-free inference. These include:</p><ol><li><a href="https://github.com/stefanradev93/BayesFlow">BayesFlow</a> (TensorFlow)</li><li><a href="https://github.com/probabilists/lampe">LAMPE</a> (PyTorch)</li><li><a href="https://github.com/sbi-dev/sbi">sbi</a> (PyTorch)</li><li><a href="https://github.com/undark-lab/swyft">swyft</a> (PyTorch)</li></ol><p>A summary of the functionality in these packages is given in <a href="https://arxiv.org/abs/2404.12484">Zammit-Mangion et al. (2024, Section 6.1)</a>. Note that this list of related packages was created in July 2024; if you have software to add to this list, please contact the package maintainer. </p></article><nav class="docs-footer"><a class="docs-footer-nextpage" href="framework/">Framework »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Wednesday 9 October 2024 09:27">Wednesday 9 October 2024</span>. Using Julia version 1.9.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+}</code></pre><h3 id="Papers-using-NeuralEstimators"><a class="docs-heading-anchor" href="#Papers-using-NeuralEstimators">Papers using NeuralEstimators</a><a id="Papers-using-NeuralEstimators-1"></a><a class="docs-heading-anchor-permalink" href="#Papers-using-NeuralEstimators" title="Permalink"></a></h3><ul><li><p><strong>Likelihood-free parameter estimation with neural Bayes estimators</strong> <a href="https://www.tandfonline.com/doi/full/10.1080/00031305.2023.2249522">[paper]</a> <a href="https://github.com/msainsburydale/NeuralBayesEstimators">[code]</a></p></li><li><p><strong>Neural Bayes estimators for censored inference with peaks-over-threshold models</strong> <a href="https://arxiv.org/abs/2306.15642">[paper]</a></p></li><li><p><strong>Neural Bayes estimators for irregular spatial data using graph neural networks</strong> <a href="https://arxiv.org/abs/2310.02600">[paper]</a><a href="https://github.com/msainsburydale/NeuralEstimatorsGNN">[code]</a></p></li><li><p><strong>Modern extreme value statistics for Utopian extremes</strong> <a href="https://arxiv.org/abs/2311.11054">[paper]</a></p></li><li><p><strong>Neural Methods for Amortised Inference</strong> <a href="https://arxiv.org/abs/2404.12484">[paper]</a><a href="https://github.com/andrewzm/Amortised_Neural_Inference_Review">[code]</a></p></li></ul><h3 id="Related-packages"><a class="docs-heading-anchor" href="#Related-packages">Related packages</a><a id="Related-packages-1"></a><a class="docs-heading-anchor-permalink" href="#Related-packages" title="Permalink"></a></h3><p>Several other software packages have been developed to facilitate neural likelihood-free inference. These include:</p><ol><li><a href="https://github.com/stefanradev93/BayesFlow">BayesFlow</a> (TensorFlow)</li><li><a href="https://github.com/probabilists/lampe">LAMPE</a> (PyTorch)</li><li><a href="https://github.com/sbi-dev/sbi">sbi</a> (PyTorch)</li><li><a href="https://github.com/undark-lab/swyft">swyft</a> (PyTorch)</li></ol><p>A summary of the functionality in these packages is given in <a href="https://arxiv.org/abs/2404.12484">Zammit-Mangion et al. (2024, Section 6.1)</a>. Note that this list of related packages was created in July 2024; if you have software to add to this list, please contact the package maintainer. </p></article><nav class="docs-footer"><a class="docs-footer-nextpage" href="framework/">Framework »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Wednesday 9 October 2024 10:55">Wednesday 9 October 2024</span>. Using Julia version 1.9.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>

dev/workflow/advancedusage/index.html

@@ -244,4 +244,4 @@
 θ₀ = mean.([Π...])              # initial estimate, the prior mean
 
 neuralem = EM(simulateconditional, θ̂)
-neuralem(Z, θ₀, ξ = ξ, nsims = H, use_ξ_in_simulateconditional = true)</code></pre><h2 id="Censored-data"><a class="docs-heading-anchor" href="#Censored-data">Censored data</a><a id="Censored-data-1"></a><a class="docs-heading-anchor-permalink" href="#Censored-data" title="Permalink"></a></h2><p>Coming soon, based on the methodology presented in <a href="https://arxiv.org/abs/2306.15642">Richards et al. (2023+)</a>.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../examples/">« Examples</a><a class="docs-footer-nextpage" href="../../API/core/">Core »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Wednesday 9 October 2024 09:27">Wednesday 9 October 2024</span>. Using Julia version 1.9.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+neuralem(Z, θ₀, ξ = ξ, nsims = H, use_ξ_in_simulateconditional = true)</code></pre><h2 id="Censored-data"><a class="docs-heading-anchor" href="#Censored-data">Censored data</a><a id="Censored-data-1"></a><a class="docs-heading-anchor-permalink" href="#Censored-data" title="Permalink"></a></h2><p>Coming soon, based on the methodology presented in <a href="https://arxiv.org/abs/2306.15642">Richards et al. (2023+)</a>.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../examples/">« Examples</a><a class="docs-footer-nextpage" href="../../API/core/">Core »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Wednesday 9 October 2024 10:55">Wednesday 9 October 2024</span>. Using Julia version 1.9.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>

dev/workflow/examples/index.html

@@ -185,4 +185,4 @@
 θ̂(Z)                               # point estimates
 θ̃ = Parameters(θ̂(Z), S)            # construct Parameters object from the point estimates
 bs = bootstrap(θ̂, θ̃, simulate, m)  # bootstrap estimates
-interval(bs)                       # parametric bootstrap confidence interval              </code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../overview/">« Overview</a><a class="docs-footer-nextpage" href="../advancedusage/">Advanced usage »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Wednesday 9 October 2024 09:27">Wednesday 9 October 2024</span>. Using Julia version 1.9.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+interval(bs)                       # parametric bootstrap confidence interval              </code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../overview/">« Overview</a><a class="docs-footer-nextpage" href="../advancedusage/">Advanced usage »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.7.0 on <span class="colophon-date" title="Wednesday 9 October 2024 10:55">Wednesday 9 October 2024</span>. Using Julia version 1.9.4.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>