Latest Research in Methodology

Top Research Topics in Methodology

• Methodology — 8 papers
• Econometrics — 3 papers
• Bayesian Methods and Mixture Models — 2 papers
• Statistics Theory — 2 papers
• Gaussian Processes and Bayesian Inference — 1 papers
• Statistical Methods and Inference — 1 papers
• Advanced Causal Inference Techniques — 1 papers
• Advanced Statistical Methods and Models — 1 papers
• Credit Risk and Financial Regulations — 1 papers
• Safety Warnings and Signage — 1 papers

Highest-Cited Papers

1. CliPS: How to identify cluster distributions in Bayesian mixture models
2. Scalable Fitting Methods for Multivariate Gaussian Additive Models with Covariate-dependent Covariance Matrices
3. Nonparametric Feature Screening for Non-Euclidean Data
4. Functional BART with Shape Priors: A Bayesian Tree Approach to Constrained Functional Regression
5. Reconciling Interpretability with Covariate-Dependent Shape Flexibility in Penalized Transformation Models for Distributional Regression
6. Approximate Factor Models for Functional Time Series
7. You've Got to be Efficient: Ambiguity, Misspecification and Variational Preferences
8. Dependent Samples Break pass@k: An Impossibility Theorem for Unbiased Estimation, and the Estimand That Survives
9. A Comparative Study of Penalized and Classical Variable Selection Methods
10. Specification LASSO and a Flexible Characteristics-Based Asset Pricing Model
11. From a Hierarchical Dirichlet-Type Construction to the Informative Bayesian Double Bootstrap
12. Variational Inference for Functional Data Clustering via Dirichlet Process Mixtures with Correlated Errors
13. Optimal Stratified Allocation for Rare-Event Onset Forecasting in Dependent Sequences
14. How accurate are Bayes factor-based null hypothesis tests? A simulation study
15. Robust Variance Estimation in Linear Regression: A Projection-Geometry Perspective
16. Asymptotic Equivalence of the Switching Degree with Unknown Boundary — √n-Inference Adaptivity in the Fixed-Breakpoint Model, Finite-Sample Correction Directions, and a Post-Selection Inference Framework
17. Autotune: fast, accurate, and automatic tuning parameter selection for Lasso
18. Marginal Coordinate Test for Fréchet Regression with Random Objects
19. Seeing the Forest for the Trees: The Gaussian Process Limit of BART
20. Stochastic Bayes factors: why, when, and how