- SEM SEM: a meta research look at the Standard Error of the Mean in Structural Equation Models - Inference Inference: Amortized Bayesian Inference (all credit to @marvinschmitt.com on this one) - ThreadSky

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chelseaparlett.bsky.social • 95 days ago

- SEM SEM: a meta research look at the Standard Error of the Mean in Structural Equation Models

- Inference Inference: Amortized Bayesian Inference (all credit to @marvinschmitt.com on this one)

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tjmahr.com•67 days ago

MLE for LME in MLE

tslumley.bsky.social•67 days ago

Casual graphs and causal sex: title for a blog post showing off visual analysis using data on STI spread

bbolker.bsky.social•67 days ago

Don't forget https://github.com/bbolker/gLLMglnlmvlvMMM ...

imaddowzimet.bsky.social•67 days ago

MCMC for MCs: an algorithm to help predict crowd size over the course of a DJ set.

imaddowzimet.bsky.social•67 days ago

FDR for FDR: the false discovery rate of a statistical process trying to find Franklin Delano Roosevelt

lauretig.bsky.social•67 days ago

MSMSM MSM MSM

Markov Switching Marginal Structual Models examining Men who have Sex with Men in the MainStream Media

bbolker.bsky.social•67 days ago

I've always liked studies that use (1) random forests to study forest dynamics (e.g. Myroniuk et al https://doi.org/10.1016/j.foreco.2022.120184) and (2) correlated random walks (i.e. MCMC) to study correlated random walks (animal movement trajectories) (e.g. @theomichelot.bsky.social et al https://doi.org/10.1111/biom.13170 )

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