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Results tagged with regression
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user 37594
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
1
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Deciding Normal vs. Robust (Student-t) Bayesian Hierarchical Linear Regression
From what I've researched, if your data contains a good number of reasonable outliers, robust regression is preferred in order to mitigate the effect of these outliers. … My question is, if you have a large number of regressors, how best should one go about justifying using robust hierarchical regression over normal hierarchical regression? …
- 619
4
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1
answer
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Root-Mean Squared Error for Bayesian Regression Models
I'm trying to get a sense of my prediction errors for a Bayesian regression model and I was using the Root-Mean-Squared Error. …
- 619
2
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335
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Combining Fixed Effects and Random Effects Confidence Intervals, Is this Possible?
I estimated a random slope,random intercept model and have estimates of the fixed-effects $\beta_i$ and the random effects $b_i$. I also have their associated standard errors $SE_{\beta_i}$ and $SE_{ …
- 619
1
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163
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Hierarchical Bayesian Regression with an Indicator Variable, one group has all zeros for the...
I'm attempting to form a Bayesian Hierarchical Regression Model and one of my regressors is for an indicator variable. …
- 619