We have a new preprint! I'm excited to share recent work related to modeling multiple-subject, multivariate time series. We extend the multi-VAR framework to allow for data-driven identification and penalized estimation of subgroup-specific dynamics. arxiv.org/abs/2409.03085
Interest in the study and analysis of dynamic processes in the social, behavioral, and health sciences has burgeoned in recent years due to the increased availability of intensive longitudinal...
Thanks, Björn! Glad you liked it; hope the reviewers do too haha We really wanted to be clear during the empirical application that we didn't magically solve issues with starting values in continuous-time. These systems are just so much more sensitive than discrete-time ones.
Special thanks to my dissertation committee members: @fishingwithzack.bsky.social, Mike Hunter, Chad Shenk, Mike Russell, and my advisors Sy-Miin Chow and Peter Molenaar for their help and guidance throughout my PhD. I could not have done this without all of you!
We also tested ct-gimme on real-world data and comment on some issues that researchers fitting continuous-time models are still likely to face even with the automated behavior of ct-gimme.
We evaluated the performance of what we're calling ct-gimme in simulations and found that it outperforms N = 1 fitting in continuous-time by leveraging information across the sample prior to individual model fitting as per traditional GIMME
Hi folks! Sharing a pre-print that we just submitted from my dissertation work. We adapted and extended the GIMME framework for identifying group-level structure in person-specific dynamics to the continuous-time framework via modification indices osf.io/preprints/ps...
Thanks, Aaron!
Successfully defended my dissertation. I’m a doctor now! Got knighted by my advisors, Sy-Miin Chow and Peter Molenaar with an engraved sword gifted to my by Alexis Santos. Lots of folks to thank but never enough space in these character limits.
Lots of exciting news in the coming months. Stay tuned! First up, our new paper just came out with Sy-Miin Chow, @sachaepskamp.bsky.social, and Peter Molenaar for fitting N = 1 graphical VAR models and using cluster-based methods to identify subgroups of people who share similar dynamic patterns.
Recent years have seen the emergence of an “idio-thetic” class of methods to bridge the gap between nomothetic and idiographic inference. These methods describe nomothetic trends in idiographic pro...
[Belated] Hello everyone! I’m Jonathan Park. I’m study Quantitative Methods and I’m on the job market! I study dynamics, networks, and community detection in discrete and continuous time. In my free time, I stream how to code! As an example, I made the Aizawa attractor as an animation.
