Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web
2026-06-24T07:23:53Z•6f3194ec7de4501d4157591fc01d576a9336303ce71b2289417489e0e493b8d6
Fisher informationR packageRFI mitigationSAEMShinyXAI","graph-based models"breast cancercomputer visiondiabetic retinopathyexplainabilityfederated learningfederated optimizationhealthcareinformation geometrymachine learningmodel selectionparameter degeneracyprivacyproper scoring rulesradio interferometryresidual diagnosticsrobust inferencestatisticssurvival analysistime series
What happened
Collection of arXiv submissions (24 Jun 2026) covering methods and tool releases across statistics and machine learning. Key items include: autovi (R package + Shiny) for automated residual-plot assessment via computer vision; analyses of proper scoring rules and model-selection criteria for time-series; the “degeneracy distillery” for detecting/resolving parameter degeneracies via Fisher information; a multi-model evaluation of federated survival analysis on heterogeneous breast-cancer data (FedAvg/FedProx/FedAdam vs centralized/local); a robust SAEM approach for state-space radio-interferom
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 6f3194ec7de4501d4157591fc01d576a9336303ce71b2289417489e0e493b8d6
- Enrichment time
- 2026-06-24T07:23:53Z
- AI-assisted enrichment
- Yes
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