Ian L. Dryden

Statistics and Probability · 2005–2016

A researcher in the Science corpus: 7 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 14 citations into it
• Geometry and Topology — 13 citations into it; #3,740 of 7,422 by trust here, #2,384 by citations
• Artificial Intelligence — 8 citations into it; #30,019 of 35,345 by trust here, #28,481 by citations
• Computational Theory and Mathematics — 5 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it; #1,432 of 3,265 by trust here, #2,603 by citations

Whom Ian L. Dryden trusts overall

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

1. Iain M. Johnstone
2. John C. Gower
3. Mohsen Pourahmadi
4. Rabi N. Bhattacharya
5. Michael J. Daniels
6. Andrew T. A. Wood
7. Huiling Le
8. Vic Patrangenaru
9. Robert E. Kass
10. Eric R. Ziegel

Who trusts Ian L. Dryden overall

1. Stephan F. Huckemann
2. C. Klingenberg
3. Xavier Pennec
4. Davide Pigoli
5. Sadeep Jayasumana
6. John A. D. Aston
7. Richard I. Hartley
8. Benjamin Eltzner

Papers from Ian L. Dryden's perspective

Ordered by how strongly the researchers Ian L. Dryden trusts endorse each paper. Same corpus, a different order for every researcher.

1. On the distribution of the largest eigenvalue in principal components analysis
2. LARGE SAMPLE THEORY OF INTRINSIC AND EXTRINSIC SAMPLE MEANS ON MANIFOLDS—II
3. Shrinkage Estimators for Covariance Matrices
4. Operator norm consistent estimation of large-dimensional sparse covariance matrices
5. Estimation with Quadratic Loss
6. Linear Processes in Function Spaces: Theory And Applications
7. A Riemannian Framework for Tensor Computing (International Journal of Computer Vision)
8. Second-Order Comparison of Gaussian Random Functions and the Geometry of DNA Minicircles
9. Pairwise curve synchronization for functional data
10. Generalized procrustes analysis

Their papers

• Non-Euclidean statistics for covariance matrices, with applications to diffusion tensor imaging (2009) — 433 citations
• MULTIVARIATE SHAPE ANALYSIS (2016) — 51 citations
• Distances and inference for covariance operators (2014) — 117 citations
• Shape curves and geodesic modelling (2010) — 46 citations
• Shape-space smoothing splines for planar landmark data (2007) — 78 citations
• Pivotal Bootstrap Methods for k-Sample Problems in Directional Statistics and Shape Analysis (2007) — 73 citations
• Statistical analysis on high-dimensional spheres and shape spaces (2005) — 84 citations