Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web

2026-06-24T07:23:53Z6f3194ec7de4501d4157591fc01d576a9336303ce71b2289417489e0e493b8d6
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

This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.