Research Output 1969 2020

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10 Citations (Scopus)

`1 Penalized Estimation of High Dimensional Gaussian Mixture Models

Ruan, L., Yuan, M. & Zou, H., 2011, In : Neural Computation. 23, p. 1605-1622

Research output: Contribution to journalArticle

23 Citations (Scopus)

1,25-Dihydroxyvitamin D to PTH(1-84) ratios strongly predict cardiovascular death in heart failure

Gruson, D., Ferracin, B., Ahn, S. A., Zierold, C., Blocki, F., Hawkins, D. M., Bonelli, F. & Rousseau, M. F., Aug 26 2015, In : PloS one. 10, 8, e0135427.

Research output: Contribution to journalArticle

parathyroid hormone
heart failure
Parathyroid Hormone
Heart Failure
death
8 Citations (Scopus)

A Bayesian EWMA method to detect jumps at the start-up phase of a process

Tsiamyrtzis, P. & Hawkins, D. M., Oct 1 2008, In : Quality and Reliability Engineering International. 24, 6, p. 721-735 15 p.

Research output: Contribution to journalArticle

Testing
Start-up
Exponentially weighted moving average
Jump
Serial dependence

A Bayesian justification for random sampling in sample survey

Meeden, G. D., Jan 1 2012, In : Pakistan Journal of Statistics and Operation Research. 8, 3, p. 353-357 5 p.

Research output: Contribution to journalArticle

Sample Survey
Random Sampling
Justification
Survey Sampling
Simple Random Sampling
25 Citations (Scopus)

A bayesian scheme to detect changes in the mean of a short-run process

Tsiamyrtzis, P. & Hawkins, D. M., Nov 2005, In : Technometrics. 47, 4, p. 446-456 11 p.

Research output: Contribution to journalArticle

Mixture of Normal Distributions
Tool Wear
Statistical Process Control
Statistical process control
Normal distribution

A Bayesian Solution for a Statistical Auditing Problem

Meeden, G. D., Sep 1 2003, In : Journal of the American Statistical Association. 98, 463, p. 735-740 6 p.

Research output: Contribution to journalArticle

Auditing
Unit
Confidence Bounds
Finite Population
p-Value
4 Citations (Scopus)
Bootstrap Test
Likelihood Ratio Statistic
Maximum Likelihood
Permutation Test
Non-parametric test
19 Citations (Scopus)

About 8- and ∼84-h rhythms in endotheliocytes as in endothelin-1 and effect of trauma

Katinas, G. S., Halberg, F., Cornelissen-Guillaume, G. G., Hawkins, D. M., Bueva, M. V., Korzhevsky, D. E., Sapozhnikova, L. R., Rhodus, N. L. & Schaffer, E., Apr 30 2001, In : Peptides. 22, 4, p. 647-659 13 p.

Research output: Contribution to journalArticle

Endothelin-1
Blood
Plasmas
Wounds and Injuries
Dermis
219 Citations (Scopus)

A change point method for linear profile data

Mahmoud, M. A., Parker, P. A., Woodall, W. H. & Hawkins, D. M., Mar 1 2007, In : Quality and Reliability Engineering International. 23, 2, p. 247-268 22 p.

Research output: Contribution to journalArticle

Linear regression
NASA
Statistics
Calibration
Testing
84 Citations (Scopus)

A Change Point Model for a Shift in Variance

Hawkins, D. M. & Zamba, K. D., Jan 2005, In : Journal of Quality Technology. 37, 1, p. 21-31 11 p.

Research output: Contribution to journalArticle

Change-point Model
Monitoring
Monitor
Bartlett Correction
Chi-squared
4 Citations (Scopus)

A CHARACTERIZATION OF THE UNIFORM DISTRIBUTION BASED ON SUMMATION MODULO ONE, WITH APPLICATION TO FRACTIONAL BACKLOGS1

Arnold, B. C. & Meeden, G., Jan 1 1976, In : Australian Journal of Statistics. 18, 3, p. 173-175 3 p.

Research output: Contribution to journalArticle

A Clocking Property of the Exponential Distribution

Hawkins, D. M. & Kotz, S., 1976, In : Australian Journal of Statistics. 18, p. 170-172

Research output: Contribution to journalArticle

2 Citations (Scopus)

A CLOCKING PROPERTY OF THE EXPONENTIAL DISTRIBUTION1

Hawkins, D. M. & Kotz, S., Jan 1 1976, In : Australian Journal of Statistics. 18, 3, p. 170-172 3 p.

Research output: Contribution to journalArticle

29 Citations (Scopus)

A cocktail algorithm for solving the elastic net penalized cox's regression in high dimensions

Yang, Y. & Zou, H., Jan 1 2013, In : Statistics and its Interface. 6, 2, p. 167-173 7 p.

Research output: Contribution to journalArticle

Elastic Net
Penalized Regression
Cox Regression
Higher Dimensions
Cox Proportional Hazards Model
201 Citations (Scopus)

A comparison of algorithms for constructing exact d-optimal designs

Cook, R. D. & Nachtrheim, C. J., Jan 1 1980, In : Technometrics. 22, 3, p. 315-324 10 p.

Research output: Contribution to journalArticle

Exact Designs
D-optimal Design
Approximate Design
Optimal Experimental Design
D-optimal
2 Citations (Scopus)

A comparison of scores of two protein structures with foldings

Jiang, T., Oct 1 2002, In : Annals of Probability. 30, 4, p. 1893-1912 20 p.

Research output: Contribution to journalArticle

Score Function
Protein Structure
Folding
Permutation
Extremes
86 Citations (Scopus)

A comprehensive model of mutations affecting fitness and inferences for Arabidopsis thaliana

Shaw, F. H., Geyer, C. J. & Shaw, R. G., Jan 1 2002, In : Evolution. 56, 3, p. 453-463 11 p.

Research output: Contribution to journalArticle

Arabidopsis
mutation
fitness
Arabidopsis thaliana
Mutation
9 Citations (Scopus)

A consistent information criterion for support vector machines in diverging model spaces

Zhang, X., Wu, Y., Wang, L. & Li, R., Apr 1 2016, In : Journal of Machine Learning Research. 17

Research output: Contribution to journalArticle

Information Criterion
Support vector machines
Support Vector Machine
Model Selection
Justification
20 Citations (Scopus)

A control chart based on a nonparametric multivariate change-point model

Holland, M. D. & Hawkins, D. M., Jan 1 2014, In : Journal of Quality Technology. 46, 1, p. 63-77 15 p.

Research output: Contribution to journalArticle

Statistical process control
Statistics
Monitoring
Control charts
Change point
71 Citations (Scopus)

A control chart for the coefficient of variation

Kang, C. W., Lee, M. S., Seong, Y. J. & Hawkins, D. M., Jan 1 2007, In : Journal of Quality Technology. 39, 2, p. 151-158 8 p.

Research output: Contribution to journalArticle

Statistical process control
Monitoring
Control charts
Charts
Coefficient of variation
1 Citation (Scopus)

A convex formulation for high-dimensional sparse sliced inverse regression

Tan, K. M., Wang, Z., Zhang, T., Liu, H. & Cook, R. D., Dec 1 2018, In : Biometrika. 105, 4, p. 769-782 14 p.

Research output: Contribution to journalArticle

Sliced Inverse Regression
Convex optimization
Covariates
High-dimensional
multipliers
7 Citations (Scopus)

A coordinate majorization descent algorithm for ℓ1 penalized learning

Yang, Y. & Zou, H., Jan 1 2014, In : Journal of Statistical Computation and Simulation. 84, 1, p. 84-95 12 p.

Research output: Contribution to journalArticle

Coordinate Descent
Majorization
Descent Algorithm
Generalized Linear Model
Descent

A Cost-Benefit Analysis of University Departments

Hawkins, D. M. & Kourie, D. G., 1978, In : South African Journal of Science. 74, p. 12-14

Research output: Contribution to journalArticle

A Cusum for a Scale Parameter

Hawkins, D. M., 1981, In : Journal of Quality Technology. 13, p. 228-231

Research output: Contribution to journalArticle

Adapting for the missing link

Weisberg, S. & Welsh, A., 1994, In : Annals of Statistics. 22, p. 1674-1700

Research output: Contribution to journalArticle

11 Citations (Scopus)

Adaptive estimation in pattern recognition by combining different procedures

Yang, Y., Oct 2000, In : Statistica Sinica. 10, 4, p. 1069-1089 21 p.

Research output: Contribution to journalArticle

Adaptive Estimation
Pattern Recognition
Conditional probability
Neural Nets
Additive Models
23 Citations (Scopus)

Adaptive free-knot splines

Miyata, S. & Shen, X., Mar 2003, In : Journal of Computational and Graphical Statistics. 12, 1, p. 197-213 17 p.

Research output: Contribution to journalArticle

Knot
Spline
Evolutionary Algorithms
Splines
Model Selection Criteria
11 Citations (Scopus)

Adaptive minimax regression estimation over sparse lq-hulls

Wang, Z., Paterlini, S., Gao, F. & Yang, Y., Jan 1 2014, In : Journal of Machine Learning Research. 15, p. 1675-1711 37 p.

Research output: Contribution to journalArticle

Minimax Estimation
Regression Estimation
Predictors
Aggregation
Regression Function

Adaptive Modeling Procedure Selection by Data Perturbation

Zhang, Y. & Shen, X., Oct 2 2015, In : Journal of Business and Economic Statistics. 33, 4, p. 541-551 11 p.

Research output: Contribution to journalArticle

Data Perturbation
selection procedure
Selection Procedures
Model Selection
Uncertainty Modeling
108 Citations (Scopus)

Adaptive model selection

Shen, X. & Ye, J., Mar 2002, In : Journal of the American Statistical Association. 97, 457, p. 210-221 12 p.

Research output: Contribution to journalArticle

Model Selection
Selection Procedures
Penalty
Bayesian Information Criterion
Akaike Information Criterion
26 Citations (Scopus)

Adaptive model selection and assessment for exponential family distributions

Shen, X., Huang, H. C. & Ye, J., Aug 2004, In : Technometrics. 46, 3, p. 306-317 12 p.

Research output: Contribution to journalArticle

Exponential Family
Model Selection
Model Selection Criteria
Bayes Information Criterion
Non-normal Distribution
134 Citations (Scopus)

Adaptive Regression by Mixing

Yang, Y., Jun 2001, In : Journal of the American Statistical Association. 96, 454, p. 574-588 15 p.

Research output: Contribution to journalArticle

Regression
Estimator
Model Selection
Assign
Projection Pursuit

Adaptive regularization through entire solution surface

Shen, X., Wu, S. & Geyer, C., 2009, In : Biometrika. 96, p. 513-527

Research output: Contribution to journalArticle

9 Citations (Scopus)

Adaptive regularization using the entire solution surface

Wu, S., Shen, X. & Geyer, C. J., Sep 1 2009, In : Biometrika. 96, 3, p. 513-527 15 p.

Research output: Contribution to journalArticle

Entire Solution
Penalty
Regularization
Tuning
Grouping
35 Citations (Scopus)

Adaptive tests for association analysis of rare variants

Pan, W. & Shen, X., Jul 2011, In : Genetic Epidemiology. 35, 5, p. 381-388 8 p.

Research output: Contribution to journalArticle

Viverridae
Weights and Measures
Direction compound
9 Citations (Scopus)

Adaptive tests for detecting gene-gene and gene-environment interactions

Pan, W., Basu, S. & Shen, X., Oct 2011, In : Human Heredity. 72, 2, p. 98-109 12 p.

Research output: Contribution to journalArticle

Gene-Environment Interaction
Single Nucleotide Polymorphism
Genetic Association Studies
Genes
Regression Analysis
5 Citations (Scopus)

A data-driven approach to conditional screening of high-dimensional variables

Hong, H. G., Wang, L. & He, X., Jan 1 2016, In : Stat. 5, 1, p. 200-212 13 p.

Research output: Contribution to journalArticle

Data-driven
Screening
High-dimensional
Hidden Variables
Leukemia
12 Citations (Scopus)

Added-variable plots and curvature in linear regression

Cook, R. D., Jan 1 1996, In : Technometrics. 38, 3, p. 275-278 4 p.

Research output: Contribution to journalArticle

Linear regression
Predictors
Curvature
6 Citations (Scopus)

A Decision Theoretic Approach to Imputation in Finite Population Sampling

Meeden, G., Jun 2000, In : Journal of the American Statistical Association. 95, 450, p. 586-595 10 p.

Research output: Contribution to journalArticle

Finite Population Sampling
Imputation
Missing at Random
Finite Population
Inference
77 Citations (Scopus)

A design for estimating visibility bias in aerial surveys

Cook, R. D. & Jacobson, J. O., Jan 1 1979, In : Biometrics. 35, 4, p. 735-742 8 p.

Research output: Contribution to journalArticle

Visibility
Antennas
Design
Surveys and Questionnaires
17 Citations (Scopus)
public opinion
Differential equation
economy
Coverage
news
73 Citations (Scopus)

A direct approach to sparse discriminant analysis in ultra-high dimensions

Mai, Q., Zou, H. & Yuan, M., Mar 1 2012, In : Biometrika. 99, 1, p. 29-42 14 p.

Research output: Contribution to journalArticle

Discriminant Analysis
Discriminant analysis
discriminant analysis
Higher Dimensions
Least-Squares Analysis
13 Citations (Scopus)

Adjusting for population stratification in a fine scale with principal components and sequencing data

Zhang, Y., Shen, X. T. & Pan, W., Dec 1 2013, In : Genetic Epidemiology. 37, 8, p. 787-801 15 p.

Research output: Contribution to journalArticle

Population
Principal Component Analysis
Genome-Wide Association Study
Economic Inflation
Gene Frequency

Admissibility in finite problems

Meeden, G. D. & Ghosh, M., 1981, In : Annals of Statistics. 9, p. 946-852

Research output: Contribution to journalArticle

Admissibility of linear estimators in the one parameter exponential family

Meeden, G. D. & Ghosh, M., 1977, In : Annals of Statistics. 5, p. 772-777

Research output: Contribution to journalArticle

Admissibility of the MLE of the normal integer mean

Meeden, G. D. & Ghosh, M., 1978, In : Sankhya B. 40, p. 1-10

Research output: Contribution to journalArticle

2 Citations (Scopus)

Admissible contour credible sets

Meeden, G., 1990, In : Statistics and Risk Modeling. 8, 1, p. 1-10 10 p.

Research output: Contribution to journalArticle

6 Citations (Scopus)

Admissible estimation in an one parameter nonregular family of absolutely continuous distributions

Kim, B. H. & Meeden, G., Jan 1 1994, In : Communications in Statistics - Theory and Methods. 23, 10, p. 2993-3001 9 p.

Research output: Contribution to journalArticle

Admissibility
Continuous Distributions
Absolutely Continuous
Generalized Bayes Estimator
Squared Error Loss

Admissible estimators for the total of a stratied population that employ prior information

Meeden, G. D. & Vardeman, S., 1984, In : Annals of Statistics. 12, p. 675-684

Research output: Contribution to journalArticle