Ming-Shiang Dai

2003–2004

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Ming-Shiang Dai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Andrew T. Walden
2. Grace Wahba

Who trusts Ming-Shiang Dai overall

1. Mohsen Pourahmadi

Papers from Ming-Shiang Dai's perspective

Ordered by how strongly the researchers Ming-Shiang Dai trusts endorse each paper. Same corpus, a different order for every researcher.

1. Spline Models for Observational Data
2. A unified view of multitaper multivariate spectral estimation
3. Theory of Reproducing Kernels.
4. Measuring and testing dependence by correlation of distances
5. Wavelet Methods for Time Series Analysis (Technometrics)
6. Smoothing noisy data with spline functions
7. Smoothing Spline ANOVA
8. Transforming classifier scores into accurate multiclass probability estimates
9. Regularization Paths for Generalized Linear Models via Coordinate Descent
10. A note on margin-based loss functions in classification

Their papers

• Multivariate spectral analysis using Cholesky decomposition (2004) — 50 citations
• Smoothing Spline ANOVA for Time-Dependent Spectral Analysis (2003) — 50 citations