Xianyang Zhang

Statistics and Probability · 2010–2021

A researcher in the Science corpus: 6 papers; trusts 98 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 92 citations into it; #2,820 of 12,932 by trust here, #4,809 by citations
• Artificial Intelligence — 32 citations into it; #21,113 of 35,345 by trust here, #31,361 by citations
• Finance — 30 citations into it; #2,854 of 10,518 by trust here, #6,671 by citations
• Economics and Econometrics — 29 citations into it; #6,135 of 23,481 by trust here, #16,151 by citations
• Molecular Biology — 27 citations into it
• Management Science and Operations Research — 15 citations into it
• Applied Mathematics — 10 citations into it
• Statistical Learning Theory — 10 citations into it

Whom Xianyang Zhang trusts overall

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

1. Nicolai Meinshausen
2. Xiaofeng Shao
3. Ignacio N. Lobato
4. Siegfried Hormann
5. Victor M. Panaretos
6. Piotr Kokoszka
7. Robertas Gabrys
8. Cun-Hui Zhang
9. Robert Tibshirani
10. Alexander Aue

Who trusts Xianyang Zhang overall

1. Gregory Rice
2. Yinchu Zhu
3. Hang Deng
4. Moritz Jirak
5. Zhou Zhou
6. Holger Dette
7. Oleksandr Gromenko
8. Cun-Hui Zhang
9. Jelena Bradic
10. Han Lin Shang

Papers from Xianyang Zhang's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Controlling the false discovery rate: a practical and powerful approach to multiple testing
3. Spline Models for Observational Data
4. High-dimensional graphs and variable selection with the Lasso
5. Estimating the Dimension of a Model
6. Model selection and estimation in regression with grouped variables
7. ImageNet classification with deep convolutional neural networks
8. Sure independence screening for ultrahigh dimensional feature space
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

Their papers

• Simultaneous Inference for High-Dimensional Linear Models (2016) — 150 citations
• Testing mutual independence in high dimension via distance covariance (2016) — 99 citations
• Testing the structural stability of temporally dependent functional observations and application to climate projections (2011) — 66 citations
• Testing for Change Points in Time Series (2010) — 269 citations
• White Noise Testing and Model Diagnostic Checking for Functional Time Series (2016) — 62 citations
• LinDA: linear models for differential abundance analysis of microbiome compositional data (2021) — 327 citations