Jiashun Jin

Statistics and Probability · with Cai · 2004–2011

A researcher in the Science corpus: 8 papers; trusts 36 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 45 citations into it; #920 of 12,932 by trust here, #2,069 by citations
• Management Science and Operations Research — 21 citations into it; #2,285 of 11,946 by trust here, #8,906 by citations
• Molecular Biology — 15 citations into it; #2,337 of 17,773 by trust here, #13,891 by citations
• Evaluation & Benchmarks — 11 citations into it
• Artificial Intelligence — 7 citations into it; #4,390 of 35,345 by trust here, #10,798 by citations
• Biophysics — 6 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Jiashun Jin trusts overall

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

1. Yoav Benjamini
2. David L. Donoho
3. Nicolai Meinshausen
4. John D. Storey
5. Michael A. Newton
6. Bradley Efron
7. Christopher R. Genovese
8. Stéphane Mallat
9. Y. Hochberg
10. Tommaso Cai

Who trusts Jiashun Jin overall

1. Tommaso Cai
2. Helmut Finner
3. Malgorzata Bogdan
4. Jelle J. Goeman
5. Rohit K. Patra
6. Ery Arias-Castro
7. Wenguang Sun
8. Songxi Chen
9. Peter Hall
10. T. Tony Cai

Papers from Jiashun Jin's perspective

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

1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
2. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
3. Estimating the Dimension of a Model
4. A stochastic process approach to false discovery control
5. Regression Shrinkage and Selection via the Lasso
6. A direct approach to false discovery rates
7. The Elements of Statistical Learning
8. ImageNet classification with deep convolutional neural networks
9. Operating characteristics and extensions of the false discovery rate procedure
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• PROPERTIES OF HIGHER CRITICISM UNDER STRONG DEPENDENCE (2008) — 70 citations
• Asymptotic Minimaxity Of False Discovery Rate Thresholding For Sparse Exponential Data (2006) — 61 citations
• Higher criticism for detecting sparse heterogeneous mixtures (2004) — 803 citations
• Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing (2010) — 80 citations
• Estimation and Confidence Sets for Sparse Normal Mixtures (2006) — 110 citations
• Proportion of non‐zero normal means: universal oracle equivalences and uniformly consistent estimators (2008) — 73 citations
• Optimal detection of heterogeneous and heteroscedastic mixtures (2011) — 136 citations
• Estimating the Null and the Proportion of Nonnull Effects in Large-Scale Multiple Comparisons (2006) — 219 citations