Homepage
Close
Menu

Site Navigation

  • Home
  • Archive(TODO)
    • By Day
    • By Month
  • About(TODO)
  • Stats
Close
by RobinGomila on 2019-07-11 (UTC).

When the outcome is binary: logistic or linear?
Preprint is ready, feedback much welcome!!https://t.co/2BmaytDrY5 pic.twitter.com/ETEzSQN7Qy

— Robin Gomila (@RobinGomila) July 11, 2019
research
by oscar_olvera100 on 2019-07-13 (UTC).

Relevant? From @CookieSci https://t.co/HG43Liw82c

— Oscar Olvera (@oscar_olvera100) July 13, 2019
misc
by BrendanTHalpin on 2019-07-13 (UTC).

Also this really good summary of what you can and can't do with logistic: https://t.co/iGCWxDlT5B

— Brendan Halpin (@BrendanTHalpin) July 13, 2019
misc
by yudapearl on 2019-07-13 (UTC).

2/ as harmless as some claim. It seems to me that you are dealing with strategies to estimate conditional expectations, not causal effects. This potential confusion is prevalent in the new culture schooled by structure-less econometrics.

— Judea Pearl (@yudapearl) July 13, 2019
research

Tags

learning tutorial misc nlp rstats gan ethics research dataviz survey python tool security kaggle video thought bayesian humour tensorflow w_code bias dataset pytorch cv tip application javascript forecast swift golang rl jax julia gnn causal surey diffusion
© Copyright Philosophy 2018 Site Template by Colorlib