vfk0_imq: Stein kernel function
In wilson-ye-chen/stein.thinning: Stein Thinning
Description
Usage
Arguments
Value
Description
Vectorised Stein kernel function based on the inverse multi-quadric (IMQ)
kernel. Each argument can be m-by-d matrices containing m d-dimensional
points.
Usage
1
vfk0_imq(a, b, sa, sb, linv)
Arguments
a
first argument of the kernel, m-by-d matrix.
b
second argument of the kernel, m-by-d matrix.
sa
gradients of the log target density at a, m-by-d matrix.
sb
gradients of the log target density at b, m-by-d matrix.
linv
inverse preconditioner, d-by-d matrix.
Value
value of the Stein kernel, m-vector.
wilson-ye-chen/stein.thinning documentation built on Jan. 8, 2022, 11:42 a.m.
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Description Usage Arguments Value
Description
Vectorised Stein kernel function based on the inverse multi-quadric (IMQ) kernel. Each argument can be m-by-d matrices containing m d-dimensional points.
Usage
1 | vfk0_imq(a, b, sa, sb, linv)
|
Arguments
a |
first argument of the kernel, m-by-d matrix. |
b |
second argument of the kernel, m-by-d matrix. |
sa |
gradients of the log target density at |
sb |
gradients of the log target density at |
linv |
inverse preconditioner, d-by-d matrix. |
Value
value of the Stein kernel, m-vector.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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