Jinyuan Chang
Statistics and Probability · 2013–2021
A researcher in the Science corpus: 5 papers; trusts 42 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 57 citations into it
- Economics and Econometrics — 32 citations into it; #16,575 of 23,481 by trust here, #20,008 by citations
- Finance — 27 citations into it
- Artificial Intelligence — 22 citations into it
- Management Science and Operations Research — 13 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Analytical Chemistry — 6 citations into it; #822 of 1,254 by trust here, #1,130 by citations
- Computational Mechanics — 6 citations into it
Whom Jinyuan Chang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jianqing Fan
- Peter J. Bickel
- Qiwei Yao
- Songxi Chen
- Soumendra Nath Lahiri
- Jushan Bai
- Clifford Lam
- Xiaohong Chen
- James H. Stock
- Song Song
Who trusts Jinyuan Chang overall
Papers from Jinyuan Chang's perspective
Ordered by how strongly the researchers Jinyuan Chang trusts endorse each paper. Same corpus, a different order for every researcher.
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Regression Shrinkage and Selection via the Lasso
- Determining the Number of Factors in Approximate Factor Models
- LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
- Covariance regularization by thresholding
- The Adaptive Lasso and Its Oracle Properties
- Ideal spatial adaptation by wavelet shrinkage
- Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions
- Forecasting Using Principal Components From a Large Number of Predictors
- Determining the number of factors in approximate factor models with global and group-specific factors
Their papers
- Principal component analysis for second-order stationary vector time series (2014) — 51 citations
- Modelling matrix time series via a tensor CP-decomposition (2021) — 52 citations
- Testing for high-dimensional white noise using maximum cross-correlations (2016) — 64 citations
- High dimensional generalized empirical likelihood for moment restrictions with dependent data (2013) — 53 citations
- High dimensional stochastic regression with latent factors, endogeneity and nonlinearity (2013) — 72 citations