Latest Research in Structural Health Monitoring Techniques

Top Research Topics in Structural Health Monitoring Techniques

• Survey Sampling and Estimation Techniques — 5 papers
• Methodology — 3 papers
• Machine Learning — 2 papers
• Statistics Theory — 2 papers
• Structural Health Monitoring Techniques — 2 papers
• Ecosystem dynamics and resilience — 1 papers
• Software Reliability and Analysis Research — 1 papers
• Advanced Statistical Methods and Models — 1 papers
• Econometrics — 1 papers

Highest-Cited Papers

1. Nonparametric Change-Point Detection and Inference for High-Dimensional Distributions
2. Locally Weighted Unified Shape Function and the One-to-One Correspondence with Regime Boundaries: Multi-Regime Local Peak Correspondence, Population Limit Geometry, and the Pseudo-Peak Phenomenon of Global Splitting
3. The EM-algorithm and the Method of Moments in Softmax Mixture Models
4. Improved Variance Estimation in Homoskedastic Nonparametric Random-Design Regression via a Two-Scale Approach
5. Exact Sampling of Gibbs Measures with Estimated Losses
6. Sensitivity Analysis of a New Family of Mean-Based Estimators Under Systematic Sampling: A Computational Statistics Perspective
7. On E-Backtesting: Generalizations and Sample Size Determination
8. A Convex-Dependent NHPP Software Reliability Model and Its Deep-Learning-Based Parameter Estimation
9. A robust combined M-estimator for the negative binomial model
10. Analyzing Measurement Error in Sensitive Mean Estimation: A Two-Occasion Successive Sampling Approach
11. The Global Maximum Point Invariance Theorem: A Statistical Invariant Theory of Structural Break Detection — Unified Shape Function, Standardized Limits, and Multi-Regime Generalization
12. Conditional Distribution Specification Testing Based on Data-Dependent Partitions
13. The Global Maximum Point Invariance Theorem: A Statistical Invariant Theory of Structural Break Detection — Unified Shape Function, Standardized Limits, and Multi-Regime Generalization
14. On the estimation of population mode in time-scaled surveys using ranked auxiliary information
15. Two new families of estimators for the population mean under stratified random sampling using an auxiliary attribute
16. Fast rates in Bayesian online learning with approximate posteriors
17. SAUSS: Stochastic Approximation with Unbiased Simulated Scores for Limited Dependent Variable Models
18. EWMA based mean estimation of sensitive variable using randomized response techniques under ranked set sampling for time-scaled surveys