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Statistical Methods and Inference

This cluster of papers focuses on regularization and variable selection methods, particularly in the context of high-dimensional data analysis. It covers topics such as Lasso, model selection, sparse models, covariance estimation, survival analysis, random forests, and Bayesian methods.

87.9K works worldwide1.9M citations
RegularizationVariable SelectionLassoModel SelectionHigh-Dimensional DataSparse ModelsCovariance EstimationSurvival AnalysisRandom ForestsBayesian Methods

Journals publishing in this area

Articles on Scinovex in this research area

30 articles, most cited first

  1. Sensitivity and Uncertainty Analysis for SWAT model calibration using SUFI-2: An Optimization Algorithm
    International Journal of Agriculture and Food Science · 2025 · 1 citations · AI summary
  2. SA-MJLR: A sparse multivariate joint latent regression statistical framework for ultra-high dimensional prediction: Monte Carlo evaluation under (p, q)>n settings
    International Journal of Statistics and Applied Mathematics · 2026 · 0 citations
  3. Survival beyond the hazard: Fine-gray methods for public health: A narrative review
    International Journal of Statistics and Applied Mathematics · 2026 · 0 citations
  4. Expectile regression with adaptive elastic net penalty
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  5. Resolving mixture model selection via entropy criteria with applications to Sulawesi marine biodiversity sampling
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  6. Resolving Efron bootstrap confidence sets for smooth functionals with applications to po valley air pollution dispersion
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  7. Bounding Mantel-Haenszel methods for stratified categorical data with applications to Hawaiian lava flow path prediction
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  8. Resolving generalized estimating equations for correlated binary outcomes with applications to Kilimanjaro glacier retreat data
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  9. Characterizing Tarone-ware weighted tests for crossing hazard functions with applications to central Asian irrigation networks
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  10. Analyzing profile likelihood methods for nuisance parameter elimination with applications to Mongolian steppe grassland biomass
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  11. Bounding Rao score statistics for parameter testing in GLMS with applications to Japanese tsunami wave heights
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  12. Generalizing Gehan-Wilcoxon tests for right-censored survival data with applications to central African rainforest carbon flux
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  13. Estimating stein shrinkage estimators for high-dimensional means with applications to Madagascar biodiversity indices
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  14. Computing score tests for variance components in mixed models with applications to Brazilian cerrado fire spread
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  15. Determining ridge regression variants for collinear predictors with applications to Patagonian wind speed extremes
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  16. Bootstrapping the coefficients of a polynomial regression with ARFIMA errors
    International Journal of Statistics and Applied Mathematics · 2024 · 0 citations
  17. Exploring change-point detection in time series data with applications to Loire valley vineyard phenology
    International Journal of Statistics and Applied Mathematics · 2024 · 0 citations
  18. Characterizing bootstrap resampling methods for confidence intervals with applications to Colombian coffee yield forecasting
    International Journal of Statistics and Applied Mathematics · 2024 · 0 citations
  19. Establishing empirical likelihood inference for survey data with applications to Orinoco Basin deforestation rates
    International Journal of Statistics and Applied Mathematics · 2024 · 0 citations
  20. Computing maximum likelihood methods for censored data with applications to Sahel desertification metrics
    International Journal of Statistics and Applied Mathematics · 2024 · 0 citations
  21. Estimating penalized regression for high-dimensional data with applications to Malay Peninsula rainfall intensity
    International Journal of Statistics and Applied Mathematics · 2024 · 0 citations
  22. Location and scale testing in a mixed design
    International Journal of Statistics and Applied Mathematics · 2023 · 0 citations
  23. Asymptotic variance and MSE for P[Y>X] in sampling from two one-truncation parameter families
    International Journal of Statistics and Applied Mathematics · 2021 · 0 citations · AI summary
  24. Analysis of generalized linear models for functional data
    International Journal of Statistics and Applied Mathematics · 2021 · 0 citations
  25. Frailty mixture model with application in insurance industry
    International Journal of Statistics and Applied Mathematics · 2019 · 0 citations
  26. Some non-parametric survival models for epidemiological studies
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations · AI summary
  27. Backward model building for nonparametric discrimination and classification of fatty liver cases
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations · AI summary
  28. On multivariate Bayesian frailty models
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations · AI summary
  29. Variable selection for identification of fatty liver cases: Nonparametric discriminant analysis
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations · AI summary
  30. Lower and upper bound for parametric ‘Useful’ R-norm information measure
    International Journal of Statistics and Applied Mathematics · 2016 · 0 citations