Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Inference Business & Economics
Confidence interval Business & Economics
Demonstrate Mathematics
Modeling Mathematics
Regression Mathematics
Continuum Mathematics
Interval Mathematics
Simulation Business & Economics

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Projects 2009 2018

High-dimensional
Uncertainty Quantification
Continuation
Uncertainty
Matrix Completion Problem
Chemical attack
Decontamination
Viruses
National security
Mass spectrometry
Confidence interval
Family
Generalized Confidence Interval
Confidence Set
Variance Components

Research Output 2003 2016

  • 764 Citations
  • 15 h-Index
  • 48 Article
  • 4 Conference contribution
  • 2 Comment/debate
  • 1 Review article
2 Citations

Activity prediction and identification of mis-annotated chemical compounds using extreme descriptors

Borysov, P., Hannig, J., Marron, J. S., Muratov, E., Fourches, D. & Tropsha, A. Mar 1 2016 In : Journal of Chemometrics. 30, 3, p. 99-108 10 p.

Research output: Research - peer-reviewArticle

Descriptors
Extremes
Prediction
Chemical compounds
Muscarinic Receptors

A note on automatic data transformation

Feng, Q., Hannig, J. & Marron, J. S. 2016 In : Stat. 5, 1, p. 82-87 6 p.

Research output: Research - peer-reviewArticle

Data Transformation
Data transformation
Skewness
Family
Anderson-Darling Test
5 Citations

Generalized Fiducial Inference: A Review and New Results

Hannig, J., Iyer, H., Lai, R. C. S. & Lee, T. C. M. Jul 2 2016 In : Journal of the American Statistical Association. 111, 515, p. 1346-1361 16 p.

Research output: Research - peer-reviewReview article

Review
Inference
Statistical Inference
Statistical inference
Bayes' Formula
4 Citations

Generalized Fiducial Inference for Binary Logistic Item Response Models

Liu, Y. & Hannig, J. Jun 1 2016 In : Psychometrika. 81, 2, p. 290-324 35 p.

Research output: Research - peer-reviewArticle

Logistics
Binary
Model
Confidence Intervals
Confidence interval

Least squares generalized inferences in unbalanced two-component normal mixed linear model

Liu, X., Xu, X. & Hannig, J. Sep 1 2016 In : Computational Statistics. 31, 3, p. 973-988 16 p.

Research output: Research - peer-reviewArticle

Mixed Linear Model
Generalized Least Squares
Variance Components
Generalized least squares
Inference