Truncation in separable priors for positive-definite matrices can lead to unintended biases toward sparser structures in sparse inference unless prior parameters like off-diagonal variances are adjusted as matrix dimension grows.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Positive-definiteness in separable priors: effects on prior interpretability and inference
Truncation in separable priors for positive-definite matrices can lead to unintended biases toward sparser structures in sparse inference unless prior parameters like off-diagonal variances are adjusted as matrix dimension grows.