iiinova — where your digital self keeps evolving

Reposted by Šimon Kucharský

Mark Riedl @markriedl.bsky.social · 12/02/2026

An OpenClaw agent makes a pull request to matplotlib. Mainter rejects PR. The OpenClaw agent authors a blog post accusing the maintainer of discrimination and gatekeeping. Maintainer responds theshamblog.com/an-ai-agent-...

theshamblog.com

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Reposted by Šimon Kucharský

JASP Services @jasp-services.com · 28/10/2025

"Always plot your data" -- an example of using descriptives *before* measuring capability of an instrument. We intend to have regular posts demonstrating how JASP can be useful for quality control and lean six sigma. www.jasp-services.com/jasp-for-qua...

jasp-services.com

JASP for Quality Control, Example 1: Descriptives (aka "Always Plot Your Data") - JASP Services BV

To showcase how JASP can be used for statistical quality control we initiate a series of blog posts in which JASP is used to execute key statistical tasks. In this series’ inaugural post, I will go ov...

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Reposted by Šimon Kucharský

MC Stan @mc-stan.org · 17/09/2025

MC Stan is here! Follow for the latest Stan news, and tag if you want us to repost your posts about new papers, packages, courses, etc. about Stan

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Reposted by Šimon Kucharský

BayesFlow @bayesflow.org · 30/05/2025

🧠 Check out the classic examples from Bayesian Cognitive Modeling: A Practical Course (Lee & Wagenmakers, 2013), translated into step-by-step tutorials with BayesFlow! Interactive version: kucharssim.github.io/bayesflow-co... PDF: osf.io/preprints/ps...

kucharssim.github.io

Introduction – Amortized Bayesian Cognitive Modeling

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Reposted by Šimon Kucharský

BayesFlow @bayesflow.org · 11/02/2025

Finite mixture models are useful when data comes from multiple latent processes. BayesFlow allows: • Approximating the joint posterior of model parameters and mixture indicators • Inferences for independent and dependent mixtures • Amortization for fast and accurate estimation 📄 Preprint 💻 Code

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