ArticleJournal of the Royal Statistical Society. Series B, Statistical methodology2022
Testing for a Change in Mean After Changepoint Detection.
Article in Journal of the Royal Statistical Society. Series B, Statistical methodology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Testing for a difference in means of a single feature after clustering.Biostatistics (Oxford, England) · 2025Article
- The Effect of Previously Encountered Sensory Information on Neural Representations of Predictability: Evidence From Human EEG.The European journal of neuroscience · 2025Article
- Testing for a General Changepoint in Medical and Psychometric Studies: Changes Detection and Sample Size Planning.Statistics in medicine · 2025Article
- Inferring independent sets of Gaussian variables after thresholding correlations.Journal of the American Statistical Association · 2025Article
- Generalized data thinning using sufficient statistics.Journal of the American Statistical Association · 2025Article
- Selective Inference for Hierarchical Clustering.Journal of the American Statistical Association · 2024Article
- Article
- Selective inference forJournal of machine learning research : JMLR · 2023Article
- Quantifying uncertainty in spikes estimated from calcium imaging data.Biostatistics (Oxford, England) · 2023Article
- More Powerful Selective Inference for the Graph Fused Lasso.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2023Article
- Testing for a Change in Mean After Changepoint Detection.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2022Article
- Tree-Values: Selective Inference for Regression Trees.Journal of machine learning research : JMLR · 2022Article
- Divergence-Based Segmentation Algorithm for Heavy-Tailed Acoustic Signals with Time-Varying Characteristics.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
While many methods are available to detect structural changes in a time series, few procedures are available to quantify the uncertainty of these estimates post-detection. In this work, we fill this gap by proposing a new framework to test the null hypothesis that there is no change in mean around an estimated changepoint. We further show that it is possible to efficiently carry out this framework in the case of changepoints estimated by binary segmentation and its variants,
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.