Bayesian Updates 🧠
No priors here — just pure learning from experience.
These are my working notes, trial-and-error logs, and favorite tricks in R, Stan, and beyond.
(Stay tuned)
Bayesian Updates 🧠
No priors here — just pure learning from experience.
These are my working notes, trial-and-error logs, and favorite tricks in R, Stan, and beyond.
(Stay tuned)
[2025-08-20]_Recommended readings
Comparing Likert and visual analogue scales in ecological momentary assessment
The study compared a seven-point Likert scale and a visual analogue scale (VAS) for measuring emotional states in a 14-day EMA design. Bayesian multilevel analyses showed that VAS produced higher within-person means, stronger temporal dependencies, and greater correlations with external psychopathology measures. At the same time, differences in variance, response stability, or participant burden were minimal. These findings suggest that VAS may be preferable in EMA studies targeting affective states relevant to psychopathology.
[2025-07-17]
In recent months, I have been studying natural sciences and applied statistics in medicine to integrate these perspectives into my research on psychometrics.
Cubic splines: 1) www.nature.com/articles/s41409-019-0679-x
2) bookdown.org/ssjackson300/Machine-Learning-Lecture-Notes/splines.html
Doubly robust (DR) methods pmc.ncbi.nlm.nih.gov/articles/PMC3070495/
Multi-state Models
Generalized Estimating Equations