stat.CO · 2026-08-23 · No. 93

Computation, 2026-08-23.

2 new papers in stat.CO. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    skchange: Fast and Flexible Algorithms for Changepoint Detection

    Martin Tveten, Johannes Voll Kolstø, Per August Jarval Moen

    stat.CO · cs.LG

    Skchange is an open-source Python library for detecting structural changes in time series. It implements modern change detection algorithms within a unified and extensible framework. The algorithms are modular and composable, and they include changepoint search methods based on both cost minimisation and statistical tests. Key features include the detection of anomalous segments in addition to changepoints; theoretically well-founded fast and...

    arxiv.org/abs/2608.19767 · PDF

  2. 02

    Heteroscedastic Neural Surrogate Modeling for Robust and Rapid Bayesian Inference in Fusion Plasma Diagnostics

    Liyun Zhang, Naoya Mamada, Kentaro Sakai, Takeo Hoshi, Toru Aonishi

    stat.CO · cs.LG

    Bayesian inference via Markov Chain Monte Carlo (MCMC) provides effective parameter estimation, but its real-time application in complex physical systems is hindered by heavy computational bottlenecks and extreme sensitivity to statistical noise. We address this by proposing a neural-network-based probabilistic surrogate framework for rapid and robust MCMC inference. Using fusion plasma Thomson scattering diagnostics as a challenging,...

    arxiv.org/abs/2608.19377 · PDF

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