Half-t Horseshoe Prior
Cross-source consensus on Half-t Horseshoe Prior from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Benefits
Dosage & preparation
Highlighted claims
- Voxel activation coefficients use a half-t horseshoe prior for global-local shrinkage. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
- The half-t horseshoe prior has an infinite spike at zero and tails that allow true signals to escape shrinkage. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
- The main BNR analyses use local-shrinkage degrees of freedom nu equal to 1000. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
- The degrees of freedom parameter controls the tail behavior of the half-t horseshoe prior. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
- Larger finite values of nu produced stronger shrinkage and better empirical behavior while retaining heavy tails. — Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data