Very cool! Looking forward to checking this out.
29.10.2024 23:43 β π 1 π 0 π¬ 0 π 0
Thanks, Katie!
25.09.2024 15:08 β π 0 π 0 π¬ 0 π 0
Reposting for the morning crowd. Check out our new preprint if youβre interested in methods for modeling ILD π
25.09.2024 14:40 β π 5 π 1 π¬ 1 π 0
Many thanks to my wonderful coauthors: @jonathanpark.bsky.social, Sy-Miin Chow, Anja Ernst, Vladas Pipiras, and @fishingwithzack.bsky.social.
24.09.2024 21:00 β π 2 π 0 π¬ 0 π 0
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.
24.09.2024 20:58 β π 3 π 0 π¬ 1 π 0
What's nice about this?
The competing penalty terms govern both the sparsity and heterogeneity of the solution. This allows for the flexible approximation of commonly encountered scenarios (e.g., minimal heterogeneity, subgroup-specific heterogeneity, etc.).
24.09.2024 20:58 β π 2 π 0 π¬ 1 π 0
Subgrouping multi-VAR accommodates both quantitative and qualitative heterogeneity in the estimation of group-, subgroup-, and individual-level effects.
Notably, these dynamics are estimated simultaneously using a structured regularization approach.
24.09.2024 20:58 β π 2 π 0 π¬ 1 π 0
Penalized Subgrouping of Heterogeneous Time Series
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...
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
24.09.2024 20:57 β π 8 π 2 π¬ 1 π 2
My lab is recruiting graduate students for Fall 2024. If you're interested in doing research at the intersection of modeling time-dependent systems, statistical programming, and developmental science come work with me and the amazing scientists at Penn State! quantdev.ssri.psu.edu
27.09.2023 13:46 β π 15 π 8 π¬ 0 π 0
Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
Psychologist for the humans of tech. Author of The Psychology of Software Teams (2026). Founder: Catharsis Consulting (strategy * science). she/her π³οΈβπ https://www.catharsisinsight.com/
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Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU
https://emerge-lab.github.io
https://www.admonymous.co/eugenevinitsky
Code, Data, Analysis, Teaching, Running, Breadmaking ... https://dirk.eddelbuettel.com
"God doesn't know, and the devil isn't telling." xkcd.com/2867/
Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
Time series and climate econometrics
PhD at Aarhus University https://github.com/Paul-Haimerl
Biostatistician @IDEXX formerly at harvardmed, @BIDMChealth, @nasa. Big data, clinical trials, and medical diagnostics. Mainer. Opinions are my own. he/him
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Em. Prof., UC Davis. Various awards, incl. book, teaching, public service. Many books, latest The Art of Machine Learning (uses qeML pkg). Former Editor in Chief, the R Journal. Views mine. heather.cs.ucdavis.edu/matloff.html
Metascientist @ uidaho. I work at the intersection of behavioral sciences, statistics, and philosophy. Love thinking and talking about science. Post lots of cat and food pics. Allergic to unsolicited advice.
Asst. Prof. of Statistics & Political Science at Penn State. I study stats methods, gerrymandering, & elections. Bayesian. Founder of UGSDW and proud alum of HGSU-UAW L. 5118.
corymccartan.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. opinions my own.
apoorvalal.github.io
(passively) maintains @paperposterbot.bsky.social
education, developmental psychology, research methods at UC Irvine
Associate Professor | Quantitative Psychologist | Psychometrician
https://www.psych.mcgill.ca/perpg/fac/falk/
https://scholar.google.com/citations?user=9BA_cL0AAAAJ
Professor of Biostatistics
Vanderbilt University School of Medicine
Expert Biostatistics Advisor
FDA Center for Drug Evaluation and Research
https://hbiostat.org https://fharrell.com
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, π¦ , c4r.io
assistant professor of public policy @UNC Chapel Hill | ex-data scientist @codeforamerica | Data for Good Roundtables co-founder
https://jaeyk.github.io
Writer. Journalist. Culture + Film critic.π³οΈβππ¬