1/4 In yet another act of shameless self-promotion, I want to share our new preprint: "Learning Nonlinear Dynamics: Improving the Estimation Efficiency and Reliability of Gaussian Process State-Space Models." Preprint: arxiv.org/abs/2606.24691 Any feedback or suggestions are very welcome!

Learning Nonlinear Dynamics: Improving the Estimation Efficiency and Reliability of Gaussian Process State-Space Models

Understanding dynamic systems is a central goal in many scientific disciplines. State-space models provide a general framework for studying latent dynamic systems based on indirect observations. Howev...

arxiv.org

📢 Call for Papers: We’re excited to announce an upcoming Psychometrika Special Issue on Data Intensive Methods in Psychometrics (think of using many datasets for methodological development), guest edited by @klint.bsky.social, @kyliegorney.bsky.social, @jmbh.bsky.social, Ben Domingue, and me.

Klint Kanopka@klint.bsky.social · 7mo ago

Excited to share a new call for papers for a special issue in Psychometrika focused on Data Intensive Methods in Psychometrics that I'll be guest editing with @kyliegorney.bsky.social, @jmbh.bsky.social, @leonievogelsmeier.bsky.social, and Ben Domingue: www.psychometricsociety.org/post/call-sp...

We built the openESM database: ▶️60 openly available experience sampling datasets (16K+ participants, 740K+ obs.) in one place ▶️Harmonized (meta-)data, fully open-source software ▶️Filter & search all data, simply download via R/Python Find out more: 🌐 openesmdata.org 📝 doi.org/10.31234/osf...

Want to learn about dynamic modeling for daily diary, experience sampling, ecological momentary assessment data? 😎 Register for our online course ‘Modeling the dynamics of intensive longitudindal data’ which starts in October 2025! 🤩 utrechtsummerschool.nl/courses/data...

I’m really excited to share that our first article has been published in the Br. J. Math. Stat. Psychol. doi.org/10.1111/bmsp... In this paper, we evaluate and compare different non-parametric approaches for modeling non-linearity in psychological intensive longitudinal data.

British Journal of Mathematical and Statistical Psychology | Wiley Online Library

Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data...

doi.org

❗️Our next workshop will be on February 13th, 6 pm CET on Gaussian Process Regression in R and Stan by @janfailenschmid.bsky.social! Register or sponsor a student by donating to support Ukraine! Details: bit.ly/3wBeY4S Please share! #AcademicSky #EconSky #RStats

On February 13 we will have a workshop on Modeling Non-Linear Relationships: An Introduction to Gaussian Process Regression in R and Stan by @janfailenschmid.bsky.social More info: bit.ly/4iQSzI7 Please share! #RStats #EconSky #AcademicSky

New Preprint! I’m excited to share our preprint titled: "Modeling Non-Linear Psychological Processes: Reviewing and Evaluating Non-Parametric Approaches and Their Applicability to Intensive Longitudinal Data." Check out the full preprint here: osf.io/preprints/ps... Any feedback is welcome! 1/3