文件名称:NNKCDE:最近邻核条件密度估计
文件大小:179KB
文件格式:ZIP
更新时间:2024-03-10 10:26:40
JupyterNotebook
NNKCDE:最近邻条件密度估计 估计使用CDE损失调整的最近邻居内核条件密度。 引文 @article{izbicki2018abc, title={ABC-CDE: Towards Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations}, chapter={Fast implementation of of NN-KCDE}, author={Izbicki, Rafael and Lee, Ann B and Pospisil, Taylor}, journal={arXiv preprint arXiv:1805.05480}, year={2018} } @article{dalmasso2020cdetools, a
【文件预览】:
NNKCDE-master
----.travis.yml(1KB)
----r()
--------NAMESPACE(84B)
--------DESCRIPTION(591B)
--------R()
--------.Rbuildignore(12B)
--------LICENSE(45B)
--------README.md(582B)
--------man()
--------tests()
----README.md(1018B)
----python()
--------src()
--------requirements.txt(27B)
--------tox.ini(178B)
--------LICENSE(1KB)
--------setup.py(1KB)
--------README.md(198B)
--------tutorial()
--------tests()