Bayesian Joint Spike-and-Slab Graphical Lasso
Authors: Zehang Li, Tyler Mccormick, Samuel Clark
ICML 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | The performance of the proposed methods are demonstrated through simulation and two real data examples. |
| Researcher Affiliation | Academia | 1Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA 2Department of Statistics, University of Washington, Seattle, Washington, USA 3Department of Sociology, University of Washington, Seattle, Washington, USA 4Department of Sociology, Ohio State University, Columbus, Ohio, USA. |
| Pseudocode | No | The paper describes the EM algorithm in text but does not include a distinct pseudocode block or algorithm figure. |
| Open Source Code | Yes | The codes for the proposed algorithm are available at https://github.com/richardli/SSJGL. |
| Open Datasets | Yes | We applied the DSS-FGL and DSS-GGL to a gold-standard dataset of verbal autopsy (VA) surveys (Murray et al., 2011). ... data obtained from the Human Mortality Database (HMD) (University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany)). |
| Dataset Splits | No | The paper mentions 'randomly selected 25 years and remove 25 data points in each of those years' for one experiment and '50 cross-validation experiments' for another. However, it does not provide specific percentages or counts for training, validation, or test splits, nor does it refer to pre-defined splits with citations. |
| Hardware Specification | No | The paper does not provide any specific hardware details such as GPU/CPU models or other computing infrastructure used for experiments. |
| Software Dependencies | No | The paper does not list specific software components with version numbers that would be necessary to replicate the experiments. |
| Experiment Setup | Yes | We applied DSS-FGL with λ1 = 1, and λ2 = 1. ... We applied DSS-FGL with λ1 = λ2 = 1 to the three largest determined causes of death in this data |