Xinkai Du
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xinkaidu.bsky.social
Xinkai Du
@xinkaidu.bsky.social
PhD in PsychMethods & ClinicalPsych with @sverreuj @SachaEpskamp | Prev @UvAmsterdam @UWaterloo | Psychometrics; (Intensive) Longitudinal Data; Applied Statistics
Day 1 at Stanford and officially started my 4-month US visit in this special time. Amazed by the beautiful campus.
October 6, 2025 at 5:04 PM
Adopt Registered Reports at Psychological Methods - Sign the Petition! chng.it/8h2KXXR4jk
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chng.it
August 23, 2025 at 6:39 PM
Currently visiting Dr. Johnny Zhang in Notre Dame and excited to learn about his approaches combining CS and psychometrics.

Had a wonderful encounter with a deer on the way to campus. :)
July 12, 2025 at 1:41 PM
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Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...
Discovering cognitive strategies with tiny recurrent neural networks - Nature
Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...
doi.org
July 2, 2025 at 7:03 PM
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Happy to share that our article, led by @xinkaidu.bsky.social, on confirmatory network modeling has been published in Psychological Methods!

psycnet.apa.org/record/2026-...
APA PsycNet
psycnet.apa.org
June 26, 2025 at 5:04 AM
Thrilled to share that this paper has now been published on Psychological Methods. See 🧵 below for an intro & shinyapp to view the results, as well as non-paywalled version. dx.doi.org/10.1037/met0...
June 26, 2025 at 8:00 AM
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Some papers are really good because they make just one point, but they make it really clearly — such as “Statistical Control Requires Causal Justification”

journals.sagepub.com/doi/10.1177/...
June 2, 2025 at 5:24 PM
The three-month research visit with @sachaepskamp.bsky.social at NUS was a great memory, and even more excited with research output.

Excited to share a novel approach to compare networks models in time-series and panel data, which we term invariance partial pruning (IVPP).
osf.io/vb8dz_v1
May 26, 2025 at 11:08 AM
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🥳thrilled that our dockerHDDM tutorial paper, after many years's work was published in my dream journal AMPPS of @psychscience.bsky.social 🤩
👇
doi.org/10.1177/2515....

The image's been downloaded 10K+⏬ docker Hub

Such a pleasure to work w/ Wanke, Ru Yuan, Haiyang & member of HDDM/HSSM team!
February 14, 2025 at 8:41 AM
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1/3

Tutorial on exploring ecological momentary assessment data is online at AMPPS, with:
- Accessible ways to visualize data for better understanding
- Models to get some first insights
- Further reading boxes for more advanced topics
- Reproducible pipeline you can run over your own data
February 13, 2025 at 12:04 PM
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Check out this important methodological validation study of SEM fit indices for (confirmatory) network modeling. Led by @xinkaidu.bsky.social!
February 7, 2025 at 7:22 AM
Preprint on using SEM fit indices & conventional cutoffs in confirmatory network analysis updated! Now with a Shiny app for results display.

PsyArXiv: osf.io/preprints/ps...
RG: www.researchgate.net/publication/...
Shiny app: github.com/xinkaidupsy/...

See 🧵 for the summary of results
(PDF) Moving from exploratory to confirmatory network analysis: An evaluation of SEM fit indices and cutoff values in network psychometrics
PDF | Network models are well-suited for phenomena detection, and most empirical network studies have been exploratory so far. Yet, due to the close... | Find, read and cite all the research you need ...
www.researchgate.net
February 7, 2025 at 6:24 AM
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Looking for a longitudinal (ideally intensive) dataset where missing data is expected to be problematic, i.e. MNAR, anyone have pointers to good examples?
January 15, 2025 at 10:47 AM
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link 📈🤖
Penalized weighted GEEs for high-dimensional longitudinal data with informative cluter size (Ma, Wang, Jiang) High-dimensional longitudinal data have become increasingly prevalent in recent studies, and penalized generalized estimating equations (GEEs) are often used to model such data. H
January 3, 2025 at 4:34 PM
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link 📈🤖
Penalized Quasi-likelihood for High-dimensional Longitudinal Data via Within-cluster Resampling (Ma, Wang, Jiang) The generalized estimating equation (GEE) method is a popular tool for longitudinal data analysis. However, GEE produces biased estimates when the outcome of interest is assoc
January 3, 2025 at 4:49 PM
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I was today years old when I found this gem of a web app to explore 2500+ color palettes for R:

r-graph-gallery.com/color-palett...
R Color Palette Finder
The ultimate tool for finding the perfect color palette for data visualization with R and paletteer. Explore over 2000 palettes, see them in action on various charts, simulate color blindness, and exp...
r-graph-gallery.com
December 20, 2024 at 8:09 PM
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A real pleasure to run two workshops on time series and forecasting to wrap up #ESAus2024. Great to see so many wonderful scientists doing temporal ecology in Australia. Hopefully my {mvgam} software can help with some of this: youtube.com/playlist?lis...
Time series in R and Stan using the mvgam package - YouTube
This series of webinars introduces the mvgam R package, which can fit State-Space Dynamic Generalized Additive Models using Bayesian inference to time series...
youtube.com
December 13, 2024 at 7:30 PM
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Conspiracy theories and violent extremism: http://osf.io/emgjf/
December 10, 2024 at 4:18 PM
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🛩️ On my way to #NeurIPS2024 and excited to chat about (ML applications of) linear algebra, differentiable programming, and probabilistic numerics!

Feel free to DM if you’d like to meet up, hang out, and/or discuss any of these topics 😊

(Where to find me & paper info? -> Thread)
December 9, 2024 at 7:46 AM
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Evaluating General Network Scoring Methods as Alternatives to Traditional Factor Scoring Methods: http://osf.io/s3re6/
November 25, 2024 at 8:15 PM
🤔
If you are a Julia user you should be aware of this: yuri.is/not-julia/
Why I no longer recommend Julia
yuri.is
November 20, 2024 at 1:59 PM
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Working on some network stuff. It's oddly satisfying going from this network spaghetti to something a bit more organized
November 18, 2024 at 4:24 PM
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FYI Lisa has a multi week course on this recorded. I attended the first week or two and it was great, I just didn’t have the time to continue with it. youtu.be/XiM4jFJ6ocY?...
Intro to R Packages: Setting Up a Package Project (Week 1)
YouTube video by Lisa DeBruine
youtu.be
November 15, 2024 at 9:12 PM
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November 15, 2024 at 6:01 PM
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Our long didactic paper on #network analysis, written with many of the amazing scientists that work in the field is finally out in IJMPR and open access ! It was a long and collaborative effort two years in the making, but, it was worth it! Please repost onlinelibrary.wiley.com/doi/10.1002/...
Network analysis: An overview for mental health research
Network approaches to psychopathology have become increasingly common in mental health research, with many theoretical and methodological developments quickly gaining traction. This article illustrat...
onlinelibrary.wiley.com
November 15, 2024 at 7:42 AM