| Name : R-mined
| |
| Version : 1.0.3
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp156.2.1
| Date : 2024-09-10 02:55:31
|
| Group : Development/Libraries/Other
| Source RPM : R-mined-1.0.3-lp156.2.1.src.rpm
|
| Size : 0.35 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Minimum Energy Designs
|
Description :
This is a method (MinED) for mining probability distributions using
deterministic sampling which is proposed by Joseph, Wang, Gu, Lv, and
Tuo (2019) < DOI:10.1080/00401706.2018.1552203>. The MinED samples can
be used for approximating the target distribution. They can be
generated from a density function that is known only up to a
proportionality constant and thus, it might find applications in
Bayesian computation. Moreover, the MinED samples are generated with
much fewer evaluations of the density function compared to random
sampling-based methods such as MCMC and therefore, this method will be
especially useful when the unnormalized posterior is expensive or time
consuming to evaluate. This research is supported by a U.S. National
Science Foundation grant DMS-1712642.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
