Gaussian Processes for Survival Analysis
Authors: Tamara Fernandez, Nicolas Rivera, Yee Whye Teh
NeurIPS 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We report experimental results on synthetic and real data, showing that our model performs better than competing models such as Cox proportional hazards, ANOVA-DDP and random survival forests. |
| Researcher Affiliation | Academia | Tamara Fernández Department of Statistics, University of Oxford. Oxford, UK. fernandez@stats.ox.ac.uk Nicolas Rivera Department of Informatics, King s College London. London, UK. nicolas.rivera@kcl.ac.uk Yee Whye Teh Department of Statistics, University of Oxford. Oxford, UK. y.w.teh@stats.ox.ac.uk |
| Pseudocode | Yes | Algorithm 1: Inference Algorithm. |
| Open Source Code | No | The paper does not provide any explicit statements about releasing source code for the described methodology, nor does it include a link to a code repository. |
| Open Datasets | Yes | We run experiments on the Veteran data, avaiable in the R-package survival package [19]. |
| Dataset Splits | Yes | We perform 10-fold cross validation and compute the C-index for each fold. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware (e.g., CPU, GPU models, memory) used to run the experiments. |
| Software Dependencies | No | The paper mentions using the 'R-package survival package [19]' but does not specify its version number or any other software dependencies with version information. |
| Experiment Setup | Yes | All the experiments are performed using our approximation scheme of equation (6) with a value of m = 50. ... We choose a gamma prior on β and a uniform U(0, 2.3) on α. ... We use elliptical slice sampler [16] for jointly updating the set of coefficients {aj k, bj k} and length-scale parameters. ... We use the maximum likelihood estimator as initial parameters of the model. |