GPLVM-WPHM

版本 1.2.0.0 (378.1 KB) 作者: James Barrett
Dimensionality reduction tool for survival (time-to-event) data.
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418.0 次下载
更新时间 2015/6/7

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This is a combination of the non-linear dimensionality reduction Gaussian process latent variable model (GPLVM) and the Weibull proportional hazard model (WPHM). It is suitable for high dimensional data with time-to-event measurements. That is, survival analysis with high dimensional covariates. This work is based on the publication: http://arxiv.org/abs/1406.0812. Please don't hesitate to contact me if there are any issues.

引用格式

James Barrett (2024). GPLVM-WPHM (https://www.mathworks.com/matlabcentral/fileexchange/48565-gplvm-wphm), MATLAB Central File Exchange. 检索时间: .

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v_1_2_0/

v_1_2_0/example/

v_1_2_0/wphm/

版本 已发布 发行说明
1.2.0.0

Discontinued use of Laplace approximation. This will achieve greater computational speed.

Added an example of dimensionality detection.
1.1.0.0

Updated description
1.0.0.0