Christopher Crawford

PhD student at UNC-Chapel Hill | musician | cat parent 🏳️‍🌈

[Christopher Crawford @cmcrawford4792]

The implied Yule–Walker estimator and its analytic standard errors are implemented in our new timecop R package, which is currently available on GitHub (link below). Feedback always welcomed!

https://t.co/rrDRxdB0aj

[Christopher Crawford @cmcrawford4792]

New preprint!

I’m excited to share our recent work on discrete-valued time series, where we derive analytic standard errors for a flexible modeling framework.

Preprint link and more details below 👇

https://t.co/kaOTWSMhee

[Christopher Crawford @cmcrawford4792]

The paper focuses on a copula-style approach that accommodates a broad class of marginal distributions through deterministic functions of a latent Gaussian process. We present analytic standard errors for the implied Yule–Walker estimator of the latent Gaussian dynamics.

[Christopher Crawford @cmcrawford4792]

Reposting for the morning crowd. Check out our new preprint if you’re interested in methods for modeling ILD 👇

[Christopher Crawford @cmcrawford4792]

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.

https://t.co/AqnttQcjCl

[Christopher Crawford @cmcrawford4792]

Many thanks to my wonderful coauthors: @Jay_Park93, Sy-Miin Chow, Anja Ernst, Vladas Pipiras, and @fishingwithzack.

[Christopher Crawford @cmcrawford4792]

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.

https://t.co/AqnttQcjCl

[Christopher Crawford @cmcrawford4792]

We conducted a simulation study to evaluate the performance of subgrouping multi-VAR across a range of factors and found that it performs well with respect to model/subgroup recovery and quality of estimates. Performance was also assessed in the context of an empirical example.

[Jonathan J. Park, PhD @Jay_Park93]

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

https://t.co/VG88RFbMIm

[Jonathan J. Park, PhD @Jay_Park93]

It’s out!

Paper I wrote with @fishingwithzack and my advisors: Sy-Miin Chow and Peter Molenaar on how well subgrouping methods developed in the discrete-time framework perform when the data-generating process is continuous.

https://t.co/nz181kLY1h

[Jonathan J. Park, PhD @Jay_Park93]

Hi folks!
Been working on a chapter for using fuzzy community detection methods in clustering VAR models.

We argue that fuzziness may be a feature rather than a bug and that ambiguity in cluster assignments could be meaningful.

Preprint:
https://t.co/33NIUq231Y

Please be kind

[Christopher Crawford @cmcrawford4792]

@DustinHaraden @RIT_LiberalArts Yes! Congrats!!

[Christopher Crawford @cmcrawford4792]

@quant_wood @ZitaOravecz Congrats!!

[Christopher Crawford @cmcrawford4792]

@DustinHaraden @drop

[Julianne Griffith, PhD @JulianneGrif]

After four years of working closely together to refine study manuals, train junior RAs, and collect and clean study data, it was truly such a joy to collaborate with @TaliaFR_98 on this paper on PA regulation in early adolescence—just released in Emotion! https://t.co/2Whej4Jcvs

[Christopher Crawford @cmcrawford4792]

@McCormickNeuro @LeidenPsy Congrats!!

[Christopher Crawford @cmcrawford4792]

10/10 would recommend road tripping through Arizona and Utah

[Christopher Crawford @cmcrawford4792]

😎