Altering chains

Let's practice changing the number and length of chains so that we can get a posterior distribution of different sizes. By changing the size of the posterior, we can change the number of samples used for the posterior summaries, and impact the estimation time. The songs data is already loaded.

Это упражнение является частью курса

Bayesian Regression Modeling with rstanarm

Посмотреть курс

Инструкции к упражнению

For all models, predict popularity from the song_age.
Estimate a model with 3 chains, each 1000 iterations long, with the first 500 discarded
Estimate a model with 2 chains, each 100 iterations long, discarding the first 50
Print a summary of each model

Интерактивное практическое упражнение

Попробуйте выполнить это упражнение, дополнив этот пример кода.

# 3 chains, 1000 iterations, 500 warmup
model_3chains <- stan_glm(___ ~ ___, data = songs,
    ___ = ___, ___ = ___, ___ = ___)

# Print a summary of model_3chains
___(model_3chains)

# 2 chains, 100 iterations, 50 warmup
model_2chains <- stan_glm(___ ~ ___, data = songs,
    ___ = ___, ___ = ___, ___ = ___)

# Print a summary of model_2chains
___(model_2chains)

Редактировать и запускать код