28 июл. 2020 г. · It is a simple linear model y\sim N(1+x,\tau^2). The prior for the intercept that I got from brms is student_t(3, 84.7, 31.3) , where \nu=3, \mu ...

Density, distribution function, quantile function and random generation for the Student-t distribution with location mu , scale sigma , and degrees of freedom ...

23 сент. 2024 г. · Description. Density, distribution function, quantile function and random generation for the Student-t distribution with location mu , scale ...

14 янв. 2024 г. · I decided to go for normal() distribution instead of student-t() and managed to retrieve the estimates and sd from the 2018 study as priors now.

Density function and random generation for the multivariate Student-t distribution with location vector mu , covariance matrix Sigma , and degrees of freedom df ...

10 окт. 2024 г. · The brms default prior for Intercept is student_t(3, 0, 2.5) , but we use student_t(7, 0, 1.5) which is close to logistic distribution, and ...

As default in brms, we use a half Student-t prior with 3 degrees of freedom. This prior often leads to better convergence of the models than a half Cauchy prior ...

2 февр. 2019 г. · The purpose of this post is to demonstrate the advantages of the Student's *t*-distribution for regression with outliers, ...

This output tells us that brms used a Student's t t distribution for the intercept and the standard deviation. It also shows us that all slope coefficients ( ...

28 июн. 2019 г. · ... student_t -> student_t, using the implementation in brms). To plot it then you just have to use one of the stat_dist_... geoms: m ...