An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation

Research article (Journal of Civil Structural Health Monitoring, 2024) · cited 24× · AI/ML
Press Enter · cited answer in seconds

An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation

Summary

An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation is a scholarly article[1].

Key Facts

  • An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-adaptive-identification-method-for-outliers-in-dam-deformation-monitoring-data-based-on-bayesian-model-selection-and-
MLA “An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-adaptive-identification-method-for-outliers-in-dam-deformation-monitoring-data-based-on-bayesian-model-selection-and-.
BibTeX @misc{4ortxyz_an-adaptive-identification-method-for-outliers-in-dam-deformation-monitoring-data-based-on-bayesian-model-selection-and-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation}}, year = {2026}, url = {https://4ort.xyz/entity/an-adaptive-identification-method-for-outliers-in-dam-deformation-monitoring-data-based-on-bayesian-model-selection-and-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation — https://4ort.xyz/entity/an-adaptive-identification-method-for-outliers-in-dam-deformation-monitoring-data-based-on-bayesian-model-selection-and- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/an-adaptive-identification-method-for-outliers-in-dam-deformation-monitoring-data-based-on-bayesian-model-selection-and- · Last refreshed: