Latest Research in Methodology

30 research papers · 2026 median publication year

Top Research Topics in Methodology

Highest-Cited Papers

  1. Bayesian Superiority in On/Off analysis
  2. Robust Bayesian Inference for Unnormalized Models with Mixed-Domain Data
  3. On some weighted biasing parameters in ridge regression model
  4. Semiparametric Efficient Inference under Non-Informative Complex Survey Designs
  5. Logistic Gaussian process density regression: a generalized Bayesian approach
  6. Improved estimation of population mean using dual auxiliary information under simple random sampling: Applications to accounting, machinery and radiation data
  7. Inference for a Shared Random-Scale Frailty Birnbaum–Saunders Model Under Progressive Type-II Censoring
  8. Efficient model exploration with the integrated nested Laplace approximation
  9. W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators
  10. Bayes Estimators with Performance Comparable to Empirical Bayes Estimators and Improved Local Robustness
  11. On Nonparanormal Likelihoods
  12. A Geometric Analysis of Initialization Bias in Spherical $K$-means in the Weak Signal Regime
  13. Cross-Fitting-Free Debiased Machine Learning with Multiway Dependence
  14. Mean regression for (0, 1) responses via beta scale mixtures
  15. Wrapped Gaussian process neural network model for manifold-valued data
  16. Nonparametric hazard rate estimation with associated kernels and minimax bandwidth choice
  17. Parameterising Gaussian Graphical Models
  18. The Global Maximum Point Invariance Theorem: A Statistical Invariant Theory of Structural Break Detection — Unified Shape Function, Standardized Limits, and Multi-Regime Generalization
  19. A generalized two-step calibrated ratio estimators of population mean in stratified random sampling
  20. The Global Maximum Point Invariance Theorem: A Statistical Invariant Theory of Structural Break Detection — Unified Shape Function, Standardized Limits, and Multi-Regime Generalization
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L3 Region - - 2026 Sep Q3

Methodology

30 papers

Top Topics (10)

Methodology14
Statistics Theory3
Structural Health Monitoring Techniques3
Survey Sampling and Estimation Techniques2
Econometrics2
Instrumentation and Methods for Astrophysics1
Advanced Statistical Methods and Models1
Statistical Methods and Inference1
Signal Processing1
Bayesian Methods and Mixture Models1

Top Publications (20)

1.Bayesian Superiority in On/Off analysis2.Robust Bayesian Inference for Unnormalized Models with Mixed-Domain Data3.On some weighted biasing parameters in ridge regression model4.Semiparametric Efficient Inference under Non-Informative Complex Survey Designs5.Logistic Gaussian process density regression: a generalized Bayesian approach6.Improved estimation of population mean using dual auxiliary information under simple random sampling: Applications to accounting, machinery and radiation data7.Inference for a Shared Random-Scale Frailty Birnbaum–Saunders Model Under Progressive Type-II Censoring8.Efficient model exploration with the integrated nested Laplace approximation9.W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators10.Bayes Estimators with Performance Comparable to Empirical Bayes Estimators and Improved Local Robustness11.On Nonparanormal Likelihoods12.A Geometric Analysis of Initialization Bias in Spherical $K$-means in the Weak Signal Regime13.Cross-Fitting-Free Debiased Machine Learning with Multiway Dependence14.Mean regression for (0, 1) responses via beta scale mixtures15.Wrapped Gaussian process neural network model for manifold-valued data16.Nonparametric hazard rate estimation with associated kernels and minimax bandwidth choice17.Parameterising Gaussian Graphical Models18.The Global Maximum Point Invariance Theorem: A Statistical Invariant Theory of Structural Break Detection — Unified Shape Function, Standardized Limits, and Multi-Regime Generalization19.A generalized two-step calibrated ratio estimators of population mean in stratified random sampling20.The Global Maximum Point Invariance Theorem: A Statistical Invariant Theory of Structural Break Detection — Unified Shape Function, Standardized Limits, and Multi-Regime Generalization
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