Latest Research in Statistical Methods and Inference

Top Research Topics in Statistical Methods and Inference

• Methodology — 14 papers
• Machine Learning — 12 papers
• Machine Learning — 6 papers
• Statistics Theory — 5 papers
• Statistical Methods and Inference — 4 papers
• Computation — 3 papers
• Statistical Distribution Estimation and Applications — 2 papers
• Econometrics — 2 papers
• Spatial and Panel Data Analysis — 2 papers
• Reliability and Maintenance Optimization — 2 papers

Highest-Cited Papers

1. Inverse-Probability-Weighted Wavelet Estimation of Regression Derivatives Under Missing-at-Random Responses for Stationary Ergodic Processes
2. Resolution-Adaptive Compact-Support Priors for Bayesian Wavelet Denoising
3. Acceptance Sampling Plans for Exponential- and Weibull-Distributed Lifetimes Under the Group Sampling Framework
4. An Efficient Sequential Approach for k-Parametric Dynamic Generalised Linear Models
5. Variational Approximated Restricted Maximum Likelihood Estimation for Spatial Data
6. Energy-Tweedie: Score meets Score, Energy meets Energy
7. Self-normalization tests for change points in functional time series
8. Interaction Budgets for Gated Wavelet Denoising: An EMPR Theory of Operator- Versus Correlation-Induced Coupling
9. Radon Measure Representations for Infinite-Width Neural Networks with Singular Activations
10. High-Dimensional Panel Data Models with Interactive Fixed Effects: Beyond the Linear Case
11. Amortized Inference of Multi-Modal Posteriors using Likelihood-Weighted Normalizing Flows
12. Estimation of Partially Linear Panel Data Model With Double/Debiased Machine Learning
13. The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software
14. Provable Diffusion Posterior Sampling for Bayesian Inversion
15. Interpreting learning dynamics of autoencoders: Transient scaling and emerging concepts of the Ising model
16. Concurrent training methods for Kolmogorov-Arnold networks: Disjoint datasets and FPGA implementation
17. Latent Matters: Learning Deep State-Space Models (8 citations)
18. Asymptotic Uniform False Discovery Rate Control for Inference of Time-varying Correlations
19. On the robustness of noisy solutions in non-convex neural networks
20. The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone