Projects per year
Fingerprint Dive into the research topics where School of Arts and Sciences, Statistics is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
HIV
Medicine & Life Sciences
Estimator
Mathematics
Minimax
Mathematics
HIV-1
Medicine & Life Sciences
High-dimensional
Mathematics
Genomics
Medicine & Life Sciences
Spherically Symmetric Distribution
Mathematics
HIV Infections
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Steven Buyske
- Human Genetics Institute of New Jersey - RUCDR - MEMBER
- School of Arts and Sciences, Statistics - ASSOC PROFESSOR ACD YR
Person
Projects 2008 2021
Bigdata:F: Statistical Learning With Large Dynamic Tensor Data
National Science Foundation (NSF)
9/1/17 → 8/31/20
Project: Research project
Tensors
Time series
Economics
Time series analysis
Finance
Collaborative Research: Statistical Methods, Algorithms, And Theory For Large Tensors
National Science Foundation (NSF)
9/1/17 → 8/31/20
Project: Research project
Tensors
Statistical methods
Physics
Medical problems
Computational efficiency
Collaborative Research: Statistical Modeling Of Mechanosensing By Cell Surface Receptors
National Science Foundation (NSF)
8/1/17 → 7/31/21
Project: Research project
Ligands
Statistics
Cytology
Cell signaling
Glycoproteins
Research Output 1965 2020
On shrinkage estimation for balanced loss functions
Marchand, É. & Strawderman, W. E., Jan 2020, In : Journal of Multivariate Analysis. 175, 104558.Research output: Contribution to journal › Article
Balanced Loss Function
Shrinkage Estimation
Completely Monotone
Model Robustness
Estimator
A general framework for frequentist model averaging
Mitra, P., Lian, H., Mitra, R., Liang, H. & Xie, M. G., Feb 1 2019, In : Science China Mathematics. 62, 2, p. 205-226 22 p.Research output: Contribution to journal › Article
Model Averaging
Estimator
Model Selection
Model
Framework
2
Citations
(Scopus)
A Nonparametric Bayesian Framework for Short-Term Wind Power Probabilistic Forecast
Xie, W., Zhang, P., Chen, R. & Zhou, Z., Jan 1 2019, In : IEEE Transactions on Power Systems. 34, 1, p. 371-379 9 p., 8417899.Research output: Contribution to journal › Article
Wind power
Smart power grids
Risk management
Random processes
Error analysis