Hidekazu Nagamura
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Hidekazu Nagamura
@hideh1231.bsky.social
11 followers 66 following 2 posts
Ph.D student at Doshisha University, Kyoto, Japan.
My interest: emotion/perception of self-voice, metacognition, speech motor control.
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Reposted by Hidekazu Nagamura
avehtari.bsky.social
Bayesian Workflow by
Andrew Gelman, Aki Vehtari, @rmcelreath.bsky.social with @danpsimpson.bsky.social, @charlesm993.bsky.social, @yulingy.bsky.social, Lauren Kennedy, Jonah Gabry, @paulbuerkner.com, @modrakm.bsky.social, @vianeylb.bsky.social

(in production, estimated copy-editing time 6 weeks)
**Part 1: From Bayesian inference to Bayesian workflow** 1. Bayesian theory and Bayesian practice 2. Statistical modeling and workflow 3. Computational tools 4. Introduction to workflow: Modeling performance on a multiple choice exam **Part 2: Statistical workflow** 5. Building statistical models 6. Using simulations to capture uncertainty 7. Prediction, generalization, and causal inference 8. Visualizing and checking fitted models 9. Comparing and improving models 10. Statistical inference and scientific inference **Part 3: Computational workflow** 11. Fitting statistical models 12. Diagnosing and fixing problems with fitting 13. Approximate algorithms and approximate models 14. Simulation-based calibration checking 15. Statistical modeling as software development **4. Case studies** 16. Coding a series of models: Simulated data of movie ratings 17. Prior specification for regression models: Reanalysis of a sleep study 18. Predictive model checking and comparison: Clinical trial 19. Building up to a hierarchical model: Coronavirus testing 20. Using a fitted model for decision analysis: Mixture model for time series competition 21. Posterior predictive checking: Stochastic learning in dogs 22. Incremental development and testing: Black cat adoptions 23. Debugging a model: World Cup football 24. Leave-one-out cross validation model checking and comparison: Roaches 25. Model building and expansion: Golf putting 26. Model building with latent variables: Markov models for animal movement 27. Model building: Time-series decomposition for birthdays 28. Models for regression coefficients and variable selection: Student grades 29. Sampling problems with latent variables: No vehicles in the park 30. Challenge of multimodality: Differential equation for planetary motion 31. Simulation-based calibration checking in model development workflow **Appendices** A. Statistical and computational workflow for Bayesians and non-Bayesians B. How to get the most out of Bayesian Data Analysis
January 26, 2026 at 8:18 AM
Reposted by Hidekazu Nagamura
sabrinanorwood.bsky.social
Our preprint has evolved!

v2 of “Digital Behaviourism” is out now with a new title, new co-authors, and a deeper dive into the behavioural concepts that shape our online lives.

It’s time to move beyond “screen time” and focus on function of online behaviours.

osf.io/preprints/ps...
Screenshot of a preprint titled “Digital Behaviourism: A functional approach to behaviour in digital environments”
January 26, 2026 at 8:52 AM
Reposted by Hidekazu Nagamura
russpoldrack.org
I agree with this - Python dependency management truly is a dumpster fire.
Niels Cautaerts - Python dependency management is a dumpster fire
nielscautaerts.xyz
November 27, 2024 at 8:49 PM
Reposted by Hidekazu Nagamura
lucinauddin.bsky.social
Proposal to use 'how many starter packs a researcher is included in' as the new h-index.
November 27, 2024 at 11:01 PM
This survey is very interesting!

> A remarkable finding is that 39% of respondents wish to make, or have already made, their identity in social VR their primary identity, as an alternative to their real-world identity.

Identity in Metaverse
medium.com/@nemchan_nel...
Identity in Metaverse (Nem x Mila, 2024)
We have released the qualitative report “Identity in the Metaverse,” which investigates the nature of identity among social VR users. The…
medium.com
November 25, 2024 at 2:07 PM
What are current best practices for estimating metacognitive ability?
November 25, 2024 at 12:14 PM
Reposted by Hidekazu Nagamura
russpoldrack.org
If you need to share Jupyter notebooks with others, you should definitely check out notebooksharing.space - in particular, it has a nifty command line uploader (as easy as "pip install nbss-upload") that makes it super easy to share a notebook.
notebooksharing.space | fastest way to share your notebooks
notebooksharing.space
November 25, 2024 at 12:53 AM