Research Output 1973 2020

2016
3 Citations (Scopus)

Process Capability Analysis via Continuous Ranked Probability Score

Shi, L., Ma, H. & Lin, D. K. J., Dec 1 2016, In : Quality and Reliability Engineering International. 32, 8, p. 2823-2834 12 p.

Research output: Contribution to journalArticle

Normal distribution
Quality control
Process capability
Uniformity
Process capability index
4 Citations (Scopus)

Projection pursuit multi-index (PPMI) models

Akritas, M. G., Jul 1 2016, In : Statistics and Probability Letters. 114, p. 99-103 5 p.

Research output: Contribution to journalArticle

Projection Pursuit
Model
Subspace
Index model
1 Citation (Scopus)

R.A.P.I.D. (Root Aggregated Prioritized Information Display): A single screen display for efficient digital triaging of medical reports

Ford, J. P., Huang, L., Richards, D. P., Ambinder, E. P. & Rosenberger, J. L., Jun 1 2016, In : Journal of Biomedical Informatics. 61, p. 214-223 10 p.

Research output: Contribution to journalArticle

Data Display
Display devices
Workflow
Orchards
Triage
13 Citations (Scopus)

Regularized quantile regression and robust feature screening for single index models

Zhong, W., Zhu, L., Li, R. & Cui, H., Jan 2016, In : Statistica Sinica. 26, 1, p. 69-95 27 p.

Research output: Contribution to journalArticle

Single-index Model
Quantile Regression
Screening
Covariates
Penalized Regression
6 Citations (Scopus)

Robust nonparametric kernel regression estimator

Zhao, G. & Ma, Y., Sep 1 2016, In : Statistics and Probability Letters. 116, p. 72-79 8 p.

Research output: Contribution to journalArticle

Kernel Regression
Trimming
Regression Estimator
Kernel Estimator
Nonparametric Regression
46 Citations (Scopus)

Selecting superior de novo transcriptome assemblies: Lessons learned by leveraging the best plant genome

Honaas, L. A., Wafula, E. K., Wickett, N. J., Der, J. P., Zhang, Y., Edger, P. P., Altman, N. S., Chris Pires, J., Leebens-Mack, J. H. & DePamphilis, C. W., Jan 5 2016, In : PloS one. 11, 1, e0146062.

Research output: Contribution to journalArticle

Plant Genome
Transcriptome
transcriptome
Genes
genome
8 Citations (Scopus)

Semiparametric estimation in the secondary analysis of case–control studies

Ma, Y. & Carroll, R. J., Jan 1 2016, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 78, 1, p. 127-151 25 p.

Research output: Contribution to journalArticle

Semiparametric Estimation
Case-control Study
Regression
Estimator
Covariates
5 Citations (Scopus)

Single index quantile regression for heteroscedastic data

Christou, E. & Akritas, M. G., Sep 1 2016, In : Journal of Multivariate Analysis. 150, p. 169-182 14 p.

Research output: Contribution to journalArticle

Quantile Regression
Regression Model
Asymptotic Theory
Estimator
Cosmetics

Skysurveys, Light Curves and Statistical Challenges

Babu, G. J. & Mahabal, A., Dec 1 2016, In : International Statistical Review. 84, 3, p. 506-527 22 p.

Research output: Contribution to journalArticle

Curve
Atlas
Astronomy
Brightness
Cosmology
1 Citation (Scopus)

Study design for sequencing studies

Honaas, L. A., Altman, N. S. & Krzywinski, M., Jan 1 2016, Methods in Molecular Biology. Humana Press Inc., p. 39-66 28 p. (Methods in Molecular Biology; vol. 1418).

Research output: Chapter in Book/Report/Conference proceedingChapter

Genomics
DNA Sequence Analysis
Molecular Biology
Research Design
RNA
24 Citations (Scopus)

Suppression of proinflammatory and prosurvival biomarkers in oral cancer patients consuming a black raspberry phytochemical-rich troche

Knobloch, T. J., Uhrig, L. K., Pearl, D. K., Casto, B. C., Warner, B. M., Clinton, S. K., Sardo-Molmenti, C. L., Ferguson, J. M., Daly, B. T., Riedl, K., Schwartz, S. J., Vodovotz, Y., Buchta, A. J., Schuller, D. E., Ozer, E., Agrawal, A. & Weghorst, C. M., Feb 2016, In : Cancer Prevention Research. 9, 2, p. 159-171 13 p.

Research output: Contribution to journalArticle

Mouth Neoplasms
Phytochemicals
Biomarkers
Squamous Cell Carcinoma
Carcinogenesis
3 Citations (Scopus)

Testing a single regression coefficient in high dimensional linear models

Lan, W., Zhong, P. S., Li, R., Wang, H. & Tsai, C. L., Nov 1 2016, In : Journal of Econometrics. 195, 1, p. 154-168 15 p.

Research output: Contribution to journalArticle

Regression Coefficient
Covariates
Linear Model
High-dimensional
z-test
4 Citations (Scopus)

Testing for positive expectation dependence

Zhu, X., Guo, X., Lin, L. & Zhu, L., Feb 1 2016, In : Annals of the Institute of Statistical Mathematics. 68, 1, p. 135-153 19 p.

Research output: Contribution to journalArticle

Testing
Hypothesis Testing
Monte Carlo Test
Local Alternatives
Type I error
1 Citation (Scopus)

Theoretical grounding for estimation in conditional independence multivariate finite mixture models

Zhu, X. & Hunter, D. R., Oct 1 2016, In : Journal of Nonparametric Statistics. 28, 4, p. 683-701 19 p.

Research output: Contribution to journalArticle

Finite Mixture Models
Conditional Independence
Multiplication Operator
Projection Operator
Nonparametric Estimation
13 Citations (Scopus)

Theoretical Limitations of Allan Variance-based Regression for Time Series Model Estimation

Guerrier, S., Molinari, R. & Stebler, Y., May 1 2016, In : IEEE Signal Processing Letters. 23, 5, p. 595-599 5 p., 7433406.

Research output: Contribution to journalArticle

Time Series Models
Time series
Regression
Inconsistency
Inertial Sensors

Time series of extremes

Reich, B. J. & Shaby, B. A., Jan 6 2016, Extreme Value Modeling and Risk Analysis: Methods and Applications. CRC Press, p. 131-152 22 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Serial Dependence
Extremes
Time series
Extreme Values
Stock Prices
2 Citations (Scopus)

Time-varying coefficient models for joint modeling binary and continuous outcomes in longitudinal data

Kürüm, E., Li, R., Shiffman, S. & Yao, W., Jul 2016, In : Statistica Sinica. 26, 3, p. 979-1000 22 p.

Research output: Contribution to journalArticle

Time-varying Coefficients
Varying Coefficient Model
Joint Modeling
Longitudinal Data
Binary Response

Time-varying latent model for longitudinal data with informative observation and terminal event times

Pei, Y. B., Du, T. & Sun, L. Q., Dec 1 2016, In : Science China Mathematics. 59, 12, p. 2393-2410 18 p.

Research output: Contribution to journalArticle

Longitudinal Data
Time-varying
Bladder Cancer
Estimator
Mixed Effects Model
3 Citations (Scopus)
Two-stage Model
Covariates
Time-varying
Count
Health
22 Citations (Scopus)

Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening

Pan, R., Wang, H. & Li, R., Jan 2 2016, In : Journal of the American Statistical Association. 111, 513, p. 169-179 11 p.

Research output: Contribution to journalArticle

Multi-class
Discriminant Analysis
Screening
Pairwise
Character Recognition
8 Citations (Scopus)

Uniform sliced Latin hypercube designs

Chen, H., Huang, H., Lin, D. K. J. & Liu, M. Q., Sep 1 2016, In : Applied Stochastic Models in Business and Industry. 32, 5, p. 574-584 11 p.

Research output: Contribution to journalArticle

Latin Hypercube Design
Uniformity
Slice
Computer Experiments
One to one correspondence
1 Citation (Scopus)

Use of a publicly available database to determine the impact of diabetes on length of hospital stay for elective orthopedic procedures in California

Kerr, D., Yadollahi, M., Bautista, H. M., Chen, X., Dong, S., Guerrier, S. N. A., Laan, R. J. & Duncan, I., Dec 1 2016, In : Population Health Management. 19, 6, p. 439-444 6 p.

Research output: Contribution to journalArticle

Orthopedic Procedures
Length of Stay
Databases
Comorbidity
Patient Discharge
16 Citations (Scopus)

Variable selection for support vector machines in moderately high dimensions

Zhang, X., Wu, Y., Wang, L. & Li, R., Jan 1 2016, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 78, 1, p. 53-76 24 p.

Research output: Contribution to journalArticle

Variable Selection
Higher Dimensions
Support Vector Machine
Local Minimizer
Estimator
4 Citations (Scopus)

Variable selection via additive conditional independence

Lee, K. Y., Li, B. & Zhao, H., Nov 1 2016, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 78, 5, p. 1037-1055 19 p.

Research output: Contribution to journalArticle

Conditional Independence
Variable Selection
Predictors
Attribute
Target
11 Citations (Scopus)

Wavelet-Based Improvements for Inertial Sensor Error Modeling

Guerrier, S., Molinari, R. & Stebler, Y., Dec 1 2016, In : IEEE Transactions on Instrumentation and Measurement. 65, 12, p. 2693-2700 8 p.

Research output: Contribution to journalArticle

Maximum likelihood
estimators
moments
error signals
sensors
2015
8 Citations (Scopus)

A Bayesian Approach to Sequential Optimization based on Computer Experiments

Tajbakhsh, S. D., Del Castillo, E. & Rosenberger, J. L., Jan 1 2015, In : Quality and Reliability Engineering International. 31, 6, p. 1001-1012 12 p.

Research output: Contribution to journalArticle

Global optimization
Experiments
Computer experiments
Bayesian approach
5 Citations (Scopus)

A composite likelihood approach to computer model calibration with high-dimensional spatial data

Chang, W., Haran, M., Olson, R. & Keller, K., Jan 2015, In : Statistica Sinica. 25, 1, p. 243-259 17 p.

Research output: Contribution to journalArticle

Composite Likelihood
Model Calibration
Computer Model
Spatial Data
High-dimensional Data

A computationally efficient platform for inertial sensor calibration

Balamuta, J., Molinari, R., Guerrier, S. & Skaloud, J., Jan 1 2015, 28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015. Institute of Navigation, p. 1998-2002 5 p. (28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015; vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Calibration
Sensors
Stochastic models
Gyroscopes
Accelerometers
3 Citations (Scopus)

A generalization of an integral arising in the theory of distance correlation

Dueck, J., Edelmann, D. & Richards, D., Feb 1 2015, In : Statistics and Probability Letters. 97, p. 116-119 4 p.

Research output: Contribution to journalArticle

Random variable
Statistics
Generalise
Generalization
Concepts
3 Citations (Scopus)

A global carbon assimilation system based on a dual optimization method

Zheng, H., Li, Y., Chen, J. M., Wang, T., Huang, Q., Huang, W. X., Wang, L. H., Li, S. M., Yuan, W. P., Zheng, X., Zhang, S. P., Chen, Z. Q. & Jiang, F., Feb 24 2015, In : Biogeosciences. 12, 4, p. 1131-1150 20 p.

Research output: Contribution to journalArticle

system optimization
carbon
carbon sinks
carbon sink
carbon flux
32 Citations (Scopus)

A High-Dimensional Nonparametric Multivariate Test for Mean Vector

Wang, L., Peng, B. & Li, R., Oct 2 2015, In : Journal of the American Statistical Association. 110, 512, p. 1658-1669 12 p.

Research output: Contribution to journalArticle

Multivariate Tests
Non-parametric test
High-dimensional
Hotelling's T2
Multivariate Data
12 Citations (Scopus)

An Approach for Observing and Modeling Errors in MEMS-Based Inertial Sensors under Vehicle Dynamic

Stebler, Y., Guerrier, S. & Skaloud, J., Nov 1 2015, In : IEEE Transactions on Instrumentation and Measurement. 64, 11, p. 2926-2936 11 p., 7159103.

Research output: Contribution to journalArticle

microelectromechanical systems
MEMS
vehicles
sensors
Sensors
4 Citations (Scopus)

An Approximation Method for Improving Dynamic Network Model Fitting

Carnegie, N. B., Krivitsky, P. N., Hunter, D. R. & Goodreau, S. M., Apr 3 2015, In : Journal of Computational and Graphical Statistics. 24, 2, p. 502-519 18 p.

Research output: Contribution to journalArticle

Model Fitting
Dynamic Networks
Tie
Approximation Methods
Network Model
7 Citations (Scopus)

An attraction-repulsion point process model for respiratory syncytial virus infections

Goldstein, J., Haran, M., Simeonov, I., Fricks, J. & Chiaromonte, F., Jun 1 2015, In : Biometrics. 71, 2, p. 376-385 10 p.

Research output: Contribution to journalArticle

Respiratory Syncytial Virus Infections
Point Process
Viruses
Process Model
Virus
4 Citations (Scopus)

A network structural approach to the link prediction problem

Lee, C., Pham, M., Jeong, M. K., Kim, D., Lin, D. K. J. & Chavalitwongse, W. A., Mar 1 2015, In : INFORMS Journal on Computing. 27, 2, p. 249-267 19 p.

Research output: Contribution to journalArticle

Mathematical programming
Recommender systems
Integer programming
Information retrieval
Data mining
26 Citations (Scopus)

Animal movement constraints improve resource selection inference in the presence of telemetry error

Brost, B. M., Hooten, M. B., Hanks, E. M. & Small, R. J., Oct 1 2015, In : Ecology. 96, 10, p. 2590-2597 8 p.

Research output: Contribution to journalArticle

resource selection
telemetry
animal
animals
Phoca vitulina

An inertial sensor calibration platform to estimate and select error models

Molinari, R., Balamuta, J., Guerrier, S. & Skaloud, J., Dec 9 2015, 2015 International Association of Institutes of Navigation World Congress, IAIN 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 7352255. (2015 International Association of Institutes of Navigation World Congress, IAIN 2015 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Calibration
Sensors
Identification (control systems)
Stochastic models
Testing
18 Citations (Scopus)

A selective overview of feature screening for ultrahigh-dimensional data

Liu, J. Y., Zhong, W. & Li, R. Z., Oct 29 2015, In : Science China Mathematics. 58, 10

Research output: Contribution to journalReview article

Screening
High-dimensional Data
Variable Selection
Biomedical Imaging
Penalized Least Squares

Association, correlation and causation

Altman, N. & Krzywinski, M., Oct 1 2015, In : Nature Methods. 12, 10, p. 899-900 2 p.

Research output: Contribution to journalArticle

Statistical Data Interpretation
Random Allocation
Causality
Sample Size
6 Citations (Scopus)

A systematic approach for the construction of definitive screening designs

Phoa, F. K. H. & Lin, D. K. J., Jul 2015, In : Statistica Sinica. 25, 3, p. 853-861 9 p.

Research output: Contribution to journalArticle

Screening Design
D-efficiency
Even number
Odd number
Screening

Automatic and computationally efficient method for model selection in inertial sensor calibration

Molinari, R., Balamuta, J., Guerrier, S., Zhang, X. & Skaloud, J., Jan 1 2015, 28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015. Institute of Navigation, p. 2003-2006 4 p. (28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015; vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Calibration
Sensors
Computational efficiency
Identification (control systems)
Navigation
11 Citations (Scopus)

Automatic Identification and Calibration of Stochastic Parameters in Inertial Sensors

Guerrier, S., Molinari, R. & Skaloud, J., Dec 1 2015, In : Navigation, Journal of the Institute of Navigation. 62, 4, p. 265-272 8 p.

Research output: Contribution to journalArticle

Calibration
Sensors
Random processes
MEMS
Time series
9 Citations (Scopus)

A validated information criterion to determine the structural dimension in dimension reduction models

Ma, Y. & Zhang, X., Jan 1 2015, In : Biometrika. 102, 2, p. 409-420 12 p.

Research output: Contribution to journalArticle

Information Criterion
Dimension Reduction
Sufficient Dimension Reduction
Model
Model Evaluation
21 Citations (Scopus)

Bayesian group lasso for nonparametric varying-coefficient models with application to functional genome-wide association studies

Li, J., Wang, Z., Li, R. & Wu, R., Jun 1 2015, In : Annals of Applied Statistics. 9, 2, p. 640-664 25 p.

Research output: Contribution to journalArticle

Varying Coefficient Model
Lasso
Nonparametric Model
Genome
Genes

Comments on: Comparing and selecting spatial predictors using local criteria

Tingley, M. P. & Shaby, B. A., Jan 1 2015, In : Test. 24, 1, p. 47-53 7 p.

Research output: Contribution to journalEditorial

Predictors
56 Citations (Scopus)

Comparative transcriptome analyses reveal core parasitism genes and suggest gene duplication and repurposing as sources of structural novelty

Yang, Z., Wafula, E. K., Honaas, L. A., Zhang, H., Das, M., Fernandez-Aparicio, M., Huang, K., Bandaranayake, P. C. G., Wu, B., Der, J. P., Clarke, C. R., Ralph, P. E., Landherr, L., Altman, N. S., Timko, M. P., Yoder, J. I., Westwood, J. H. & DePamphilis, C. W., Jan 1 2015, In : Molecular biology and evolution. 32, 3, p. 767-790 24 p.

Research output: Contribution to journalArticle

Gene Duplication
Gene Expression Profiling
gene duplication
parasitism
transcriptome
90 Citations (Scopus)

COMPASS identifies T-cell subsets correlated with clinical outcomes

Lin, L., Finak, G., Ushey, K., Seshadri, C., Hawn, T. R., Frahm, N., Scriba, T. J., Mahomed, H., Hanekom, W., Bart, P. A., Pantaleo, G., Tomaras, G. D., Rerks-Ngarm, S., Kaewkungwal, J., Nitayaphan, S., Pitisuttithum, P., Michael, N. L., Kim, J. H., Robb, M. L., O'Connell, R. J. & 5 others, Karasavvas, N., Gilbert, P., De Rosa, S. C., McElrath, M. J. & Gottardo, R., Jun 11 2015, In : Nature Biotechnology. 33, 6, p. 610-616 7 p.

Research output: Contribution to journalArticle

T-cells
T-Lymphocyte Subsets
Antigens
Technology
AIDS Vaccines
6 Citations (Scopus)

Computational predictions of the site of metabolism of cytochrome P450 2D6 substrates: Comparative analysis, molecular docking, bioactivation and toxicological implications

Ford, K. A., Ryslik, G. A., Sodhi, J., Halladay, J., Diaz, D., Dambach, D. & Masuda, M., Jul 3 2015, In : Drug Metabolism Reviews. 47, 3, p. 291-319 29 p.

Research output: Contribution to journalReview article

Molecular Docking Simulation
Cytochrome P-450 CYP2D6
Toxicology
Computer Simulation
Small Molecule Libraries
3 Citations (Scopus)

Construction of Orthogonal Nearly Latin Hypercubes

Steinberg, D. M. & Lin, D. K. J., Dec 1 2015, In : Quality and Reliability Engineering International. 31, 8, p. 1397-1406 10 p.

Research output: Contribution to journalArticle

Sample size
32 Citations (Scopus)

Continuous-time discrete-space models for animal movement

Hanks, E. M., Hooten, M. B. & Alldredge, M. W., Jan 1 2015, In : Annals of Applied Statistics. 9, 1, p. 145-165 21 p.

Research output: Contribution to journalArticle

Continuous Time
Animals
Discrete-time
Markov processes
Reversible Jump Markov Chain Monte Carlo