https://oriolabrilpla.cat/es/Oriol unraveled2025-04-08T18:21:40.763855+00:00ABloghttps://oriolabrilpla.cat/es/blog/posts/2023/plot_ppc.htmlArviZ in depth: plot_ppc2023-11-17T00:00:00+00:00Oriol Abril Pla<p class="ablog-post-excerpt"><p>All the tips (and tricks) you never knew you needed to use plot_ppc</p>
<img alt="" class="hidden-metadata" src="https://oriolabrilpla.cat/es/_images/ppc_rugby_home_effect.png" /></p>
All the tips (and tricks) you never knew you needed to use plot_ppc2023-11-17T00:00:00+00:00https://oriolabrilpla.cat/es/blog/posts/2023/xarray_intro.htmlAn introduction to xarray2023-07-13T00:00:00+00:00Oriol Abril Pla<p class="ablog-post-excerpt"><p>Tutorial style introduction to xarray features: dimensions, coordinates, indexes, plotting and more…</p>
<img alt="" class="hidden-metadata" src="https://oriolabrilpla.cat/es/_images/indexing_modes.png" /></p>
Tutorial style introduction to xarray features: dimensions, coordinates, indexes, plotting and more…2023-07-13T00:00:00+00:00https://oriolabrilpla.cat/es/blog/posts/2022/pymc-arviz.htmlPyMC 4.0 with labeled coords and dims2022-06-07T00:00:00+00:00Oriol Abril Pla<p class="ablog-post-excerpt"><p>Go even crazier with your virtual label-maker!</p>
<img alt="" class="hidden-metadata" src="https://oriolabrilpla.cat/es/_images/labeled_arys_v4.png" /></p>
Go even crazier with your virtual label-maker!2022-06-07T00:00:00+00:00https://oriolabrilpla.cat/es/blog/posts/2022/too-eager-reduction.htmlSome dimensionality devils2022-05-25T00:00:00+00:00Oriol Abril Pla<p class="ablog-post-excerpt"><p>Common cases of excessively eager dimensionality reduction</p>
<img alt="" class="hidden-metadata" src="https://oriolabrilpla.cat/es/_images/evil_kermit_posterior_mean.jpeg" /></p>
Common cases of excessively eager dimensionality reduction2022-05-25T00:00:00+00:00https://oriolabrilpla.cat/es/blog/posts/2022/einstats-hmm-cmdstanpy.htmlCmdStanPy and ArviZ integration2022-04-25T00:00:00+00:00Oriol Abril Pla<p class="ablog-post-excerpt"><p>Embrace labeled multi-dimensional arrays for better exploratory analysis of your Bayesian models</p>
<img alt="" class="hidden-metadata" src="https://oriolabrilpla.cat/es/_images/hmm_drive.png" /></p>
Embrace labeled multi-dimensional arrays for better exploratory analysis of your Bayesian models2022-04-25T00:00:00+00:00https://oriolabrilpla.cat/es/blog/posts/2020/pymc3-arviz.htmlPyMC3 with labeled coords and dims2020-09-22T00:00:00+00:00Oriol Abril Pla<p class="ablog-post-excerpt"><p>Go crazy with your virtual label-maker!</p>
<img alt="" class="hidden-metadata" src="https://oriolabrilpla.cat/es/_images/labeled_arys.png" /></p>
Go crazy with your virtual label-maker!2020-09-22T00:00:00+00:00https://oriolabrilpla.cat/es/blog/posts/2020/setting_up_blog.htmlCreating a blog2020-07-10T00:00:00+00:00Oriol Abril Pla<p class="ablog-post-excerpt"><p>Sailing in the sea of blogging alternatives</p>
<img alt="" class="hidden-metadata" src="https://oriolabrilpla.cat/es/_images/blog.png" /></p>
Sailing in the sea of blogging alternatives2020-07-10T00:00:00+00:00https://oriolabrilpla.cat/es/blog/posts/2020/plot-trace.htmlArviZ in depth: plot_trace2020-06-20T00:00:00+00:00Oriol Abril Pla<p class="ablog-post-excerpt"><p>Who said looking at traces wasn’t fun?</p>
<img alt="" class="hidden-metadata" src="https://oriolabrilpla.cat/es/_images/plot_trace_purple.png" /></p>
Who said looking at traces wasn’t fun?2020-06-20T00:00:00+00:00https://oriolabrilpla.cat/es/blog/posts/2020/rcParams.htmlArviZ customization with rcParams2020-06-16T00:00:00+00:00Oriol Abril Pla<p class="ablog-post-excerpt"><p>Use ArviZ rcParams to get sensible defaults right out of the box</p>
<img alt="" class="hidden-metadata" src="https://oriolabrilpla.cat/es/_images/rc_context.png" /></p>
Use ArviZ rcParams to get sensible defaults right out of the box2020-06-16T00:00:00+00:00https://oriolabrilpla.cat/es/blog/posts/2019/loo-pit-tutorial.htmlLOO-PIT tutorial2019-07-31T00:00:00+00:00Oriol Abril Pla<p class="ablog-post-excerpt"><p>Extend your posterior predictive checks with leave one out probability integral transform</p>
<img alt="" class="hidden-metadata" src="https://oriolabrilpla.cat/es/_images/loo_pit_bias.png" /></p>
Extend your posterior predictive checks with leave one out probability integral transform2019-07-31T00:00:00+00:00https://oriolabrilpla.cat/es/blog/posts/2019/loo-cv-transformed-data.htmlLOO-CV on transformed data2019-06-21T00:00:00+00:00Oriol Abril Pla<p class="ablog-post-excerpt"><p>Can different transformations of the data be compared with leave one out cross validation?</p>
<img alt="" class="hidden-metadata" src="https://oriolabrilpla.cat/es/_images/loo_regression.png" /></p>
Can different transformations of the data be compared with leave one out cross validation?2019-06-21T00:00:00+00:00