🕵️ El sesgo de selección es la madre de todos los sesgos.
Porque tu investigación podría estar condenada antes de empezar.
Hoy hablamos del sesgo de selección, ese enemigo silencioso que distorsiona estudios académicos y decisiones de negocio. 👇
#stats#datascience#rstats
✨Hey fellow R stats enthusiasts!
🥳 I just published a detailed analysis on manual gradient calculation in HMC on my blog, Bayesically-Speaking 🚀
🧐 We cover the necessary math and partial derivatives that guides the sampler.
🔗 Full article: https://t.co/egCDhyU9An
Desarrollé un artículo detallando el proceso de modelar la neuroplasticidad sináptica a través de las matemáticas!
Los invito a descubrir de qué manera esto es posible, en el siguiente enlace:
https://t.co/qxMdNul9JS
For only $143, Elsevier/Springer will send me a PDF of my accepted paper that I can share with 25 people :).
Publishers again adding tremendous value. I wouldn't know what to do without this attractive option.
@ChelseaParlett Oh god yes…
At first, is like: “here is some simple Bayesian linear regression”… 🤝
Then you get: “Build your own symplectic integrator for Hamiltonian systems” 💀
Why do reviewers ask for a power analysis to justify the sample size *after* the study has completed?
Can you have an a priori power analysis post study? It this necessary?
IMO no.
@rlmcelreath Richard, you have already done a lot for the field. I think that you are the least to owe anything to the academia. Mi prior guess (wink wink) is that you’ll do more than fine in the industry
I have developed an R package that provides tools for 2D gait data analysis and motion capture.
This package also offers tools to create informative visualisations with many functionalities.
Check it out here: https://t.co/bJ1CnyujNc
#rstats#biomechanics#science
Dear fellow #Rstats and #Bayesian geeks. Have you ever tried to wrap your head around Hamiltonian Monte Carlo (HMC), discovering it was a math nightmare?
No worries cause I got your back covered. I’ve written a blog explaining the intuition behind HMC:
https://t.co/tkrbhqER6y
Habiendo trabajado extensivamente con ambos paradigmas estadísticos, puedo decir sin lugar a dudas que la la estadística Bayesiana es mi marco de análisis favorito
Bayesian data analysis is a fundamental concept in data science. But it took me 2 years to understand its importance.
In 2 minutes, I'll share my best findings over the last 2 years exploring Bayesian Modeling.
Let's go. 🧵