AINewsnow

Joint Distributional Copula Regression for Insurance Claim Frequency and Severity via Boosting

arXiv:2610.36835v1 Announce Type: new Abstract: In this paper, we propose a model-based boosting approach for fitting structured additive distributional copula regression models with bivariate responses, focusing particularly on the joint modeling of claim frequency and claim severity. The proposed…

Read the full story at arXiv stat.ML ↗

Timeline · 1 report

  1. 2026-10-28 04:00 · arXiv stat.ML
    Joint Distributional Copula Regression for Insurance Claim Frequency and Severity via Boosting

More stories

  1. Anthropic reveals plans for blockbuster IPO — Sky News Technology
  2. DeepMind unveils Genie 4 world model promising more realistic physics and humans — Ars Technica AI
  3. Making machines that can listen — MIT News AI
  4. Elon Musk says more than 200 neoclouds face 'guppy-level death' — CNBC Technology
  5. I built an Android app where Claude Code, Codex or OpenCode use your phone through MCP (open source) — r/ArtificialInteligence
  6. Muse Is Now Available in Singapore: The World’s First Personal AI Agent Built for Everyone — Meta Newsroom
  7. Introducing GPT-6.1 Terra — OpenAI News
  8. Microsoft to reportedly offer buyouts to 60,000 employees in latest cuts — The Guardian AI

Get the daily brief of stories like this at 6:30 every morning →