Conditional Probability Tensor Decompositions for Multivariate Categorical Response Regres

A 1.7 MB dataset from figshare, last updated on 2026-05-01, authored by Aaron J. Molstad. The dataset accompanies a research article proposing a new method for modeling probability mass functions involving multiple categorical response variables and a common set of predictors. Supplementary materials for reproducing the work are available online.

Use Cases

• Developing mixture-of-regressions models based on the described functional probability tensor decomposition.
• Simulating multivariate categorical responses for method validation, as suggested by the described simulation studies.
• Modeling functional classes of genes, as demonstrated in the application mentioned in the description.
• Fitting models using penalized expectation maximization algorithms for large-scale categorical data.

Strengths

• Dataset size is precisely 1.7 MB, indicating a manageable download.
• The associated research article provides a detailed methodological context, including simulation studies and a gene function application.
• License is clearly specified as CC-BY-4.0, allowing for open reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The primary data files are PDF and ZIP formats, which may require extraction and parsing.

Provenance

Source

figshare

Collection Method

Likely generated as supplementary material for a published research article.

Freshness

Last updated 2026-05-01 21:04:29; freshness should be verified.