Research Output 1969 2020

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2018
7 Citations (Scopus)

Another look at distance-weighted discrimination

Wang, B. & Zou, H., Jan 1 2018, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 80, 1, p. 177-198 22 p.

Research output: Contribution to journalArticle

Discrimination
Support Vector Machine
kernel
Second-order Cone Programming
Bayes Risk

Applications of Peter Hall's martingale limit theory to estimating and testing high dimensional covariance matrices

Li, D., Xue, L. & Zou, H., Oct 1 2018, In : Statistica Sinica. 28, 4, p. 2657-2670 14 p.

Research output: Contribution to journalArticle

Martingale
Covariance matrix
High-dimensional
Testing
Martingale Central Limit Theorem
5 Citations (Scopus)

A Selective Overview of Sparse Principal Component Analysis

Zou, H. & Xue, L., Aug 1 2018, In : Proceedings of the IEEE. 106, 8, p. 1311-1320 10 p., 8412518.

Research output: Contribution to journalArticle

Principal component analysis
Feature extraction
2 Citations (Scopus)

A study of two high-dimensional likelihood ratio tests under alternative hypotheses

Chen, H. & Jiang, T., Jan 1 2018, In : Random Matrices: Theory and Application. 7, 1, 1750016.

Research output: Contribution to journalArticle

Likelihood Ratio Test Statistic
Likelihood Ratio Test
High-dimensional
Multivariate Analysis
Alternatives
15 Citations (Scopus)

A Two-Stage Approach to Differentiating Normal and Aberrant Behavior in Computer Based Testing

Wang, C., Xu, G. & Shang, Z., Mar 1 2018, In : Psychometrika. 83, 1, p. 223-254 32 p.

Research output: Contribution to journalArticle

Testing
Markov processes
Statistical methods
Person
Defects

Bandwidth selection for kernel density estimators of multivariate level sets and highest density regions

Doss, C. R. & Weng, G., Jan 1 2018, In : Electronic Journal of Statistics. 12, 2, p. 4313-4376 64 p.

Research output: Contribution to journalArticle

Open Access
Bandwidth Selection
Kernel Density Estimator
Level Set
Bandwidth
Asymptotic Approximation
1 Citation (Scopus)

Bayesian spatiotemporal modeling using hierarchical spatial priors, with applications to functional magnetic resonance imaging (with discussion)

Bezener, M., Hughes, J. & Jones, G., Jan 1 2018, In : Bayesian Analysis. 13, 4, p. 1261-1313 53 p.

Research output: Contribution to journalArticle

Open Access
Spatio-temporal Modeling
Bayesian Modeling
Functional Magnetic Resonance Imaging
Voxel
Hierarchical Prior
3 Citations (Scopus)

Big data and partial least-squares prediction

Cook, R. D. & Forzani, L., Mar 1 2018, In : Canadian Journal of Statistics. 46, 1, p. 62-78 17 p.

Research output: Contribution to journalArticle

Partial Least Squares
Regression
Prediction
Dimension Reduction
Predictors
7 Citations (Scopus)

Bridging AIC and BIC: A New Criterion for Autoregression

Ding, J., Tarokh, V. & Yang, Y., Jun 1 2018, In : IEEE Transactions on Information Theory. 64, 6, p. 4024-4043 20 p.

Research output: Contribution to journalArticle

Time series
time series
Specifications
candidacy
efficiency
1 Citation (Scopus)

Chernoff index for cox test of separate parametric families

Li, X., Liu, J. & Ying, Z., Feb 1 2018, In : Annals of Statistics. 46, 1, p. 1-29 29 p.

Research output: Contribution to journalArticle

Error Probability
Generalized Likelihood Ratio Test
Type II error
Asymptotic Efficiency
Significance level
1 Citation (Scopus)

Combining estimates of conditional treatment effects

Rolling, C. A., Yang, Y. & Velez, D., Jan 1 2018, (Accepted/In press) In : Econometric Theory.

Research output: Contribution to journalArticle

direct marketing
Economic Policy
training program
candidacy
Treatment effects
3 Citations (Scopus)

Fast envelope algorithms

Cook, R. D. & Zhang, X., Jul 1 2018, In : Statistica Sinica. 28, 3, p. 1179-1197 19 p.

Research output: Contribution to journalArticle

Envelope
Coordinate Descent
Screening
Descent Algorithm
Precursor
3 Citations (Scopus)

Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces

Yang, Y., Zhang, T. & Zou, H., Jan 2 2018, In : Technometrics. 60, 1, p. 26-35 10 p.

Research output: Contribution to journalArticle

Reproducing Kernel Hilbert Space
Multiple Linear Regression
Hilbert spaces
Linear regression
Regression
3 Citations (Scopus)
Clinical Trials Data Monitoring Committees
Research Personnel
History
Committee Membership
Safety
5 Citations (Scopus)

Inference for a two-component mixture of symmetric distributions under log-concavity

Balabdaoui, F. & Doss, C. R., May 1 2018, In : Bernoulli. 24, 2, p. 1053-1071 19 p.

Research output: Contribution to journalArticle

Log-concavity
Symmetric Distributions
Log-concave
Unknown
Zero Distribution
5 Citations (Scopus)

Insurance Premium Prediction via Gradient Tree-Boosted Tweedie Compound Poisson Models

Yang, Y., Qian, W. & Zou, H., Jul 3 2018, In : Journal of Business and Economic Statistics. 36, 3, p. 456-470 15 p.

Research output: Contribution to journalArticle

Compound Poisson
Poisson Model
premium
Insurance
insurance

Low prevalence of diabetes distress following total pancreatectomy with islet autotransplantation

Lane, A., Hodges, J. S., Ptacek, P., Louise Berry, K., Beilman, G. J., Dunn, T. B., Pruett, T. L., Chinnakotla, S., Kuzmak, B. R. & Bellin, M. D., May 1 2018, In : Clinical Transplantation. 32, 5, e13237.

Research output: Contribution to journalArticle

Pancreatectomy
Autologous Transplantation
Autografts
Insulin
Chronic Pancreatitis
4 Citations (Scopus)

Matrix variate regressions and envelope models

Ding, S. & Cook, R. D., Mar 1 2018, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 80, 2, p. 387-408 22 p.

Research output: Contribution to journalArticle

Envelope
Regression
Predictors
Model
Conditional Distribution
3 Citations (Scopus)

Model Selection Techniques: An Overview

Ding, J., Tarokh, V. & Yang, Y., Nov 2018, In : IEEE Signal Processing Magazine. 35, 6, p. 16-34 19 p., 8498082.

Research output: Contribution to journalArticle

Model Selection
Epidemiology
Ecology
Information Theory
Statistical Inference

Moderate deviation for random elliptic PDE with small noise

Li, X., Liu, J., Lu, J. & Zhou, X., Oct 1 2018, In : Annals of Applied Probability. 28, 5, p. 2781-2813 33 p.

Research output: Contribution to journalArticle

Moderate Deviations
Elliptic PDE
Rare Events
Uncertainty
Randomness
1 Citation (Scopus)

Multilayer tensor factorization with applications to recommender systems

Bi, X., Qu, A. & Shen, X. T., Jan 1 2018, In : Annals of Statistics. 46, 6B, p. 3308-3333 26 p.

Research output: Contribution to journalArticle

Recommender Systems
Multilayer
Factorization
Tensor
Recommendations

New semiparametric method for predicting high-cost patients

Maidman, A. & Wang, L., Sep 1 2018, In : Biometrics. 74, 3, p. 1104-1111 8 p.

Research output: Contribution to journalArticle

Semiparametric Methods
Costs and Cost Analysis
Health Expenditures
Costs
tail

Non-convex penalized multitask regression using data depth-based penalties

Majumdar, S. & Chatterjee, S. B., Jan 1 2018, In : Stat. 7, 1, e174.

Research output: Contribution to journalArticle

Regression Depth
Data Depth
Adaptive Lasso
Penalty
Penalized Regression
1 Citation (Scopus)

No neurocognitive advantage for immediate antiretroviral treatment in adults with greater than 500 CD4+ T-cell counts

Wright, E. J., Grund, B., Robertson, K. R., Cysique, L., Brew, B. J., Collins, G. L., Poehlman-Roediger, M., Vjecha, M. J., Penalva De Oliveira, A. C., Standridge, B., Carey, C., Avihingsanon, A., Florence, E., Lundgren, J. D., Arenas-Pinto, A., Mueller, N. J., Winston, A., Nsubuga, M. S., Lal, L. & Price, R. W., May 15 2018, In : AIDS. 32, 8, p. 985-997 13 p.

Research output: Contribution to journalArticle

Open Access
CD4 Lymphocyte Count
T-Lymphocytes
Neuropsychological Tests
Neurology
HIV
1 Citation (Scopus)

On being Bayes and unbiasedness: Bayes and unbiasedness

Noorbaloochi, S. & Meeden, G. D., Jan 1 2018, In : Sankhya A. 80, 1, p. 152-167 16 p.

Research output: Contribution to journalArticle

Squared Error Loss
Unbiasedness
Bayes Estimator
Unbiased estimator
Bayes
1 Citation (Scopus)

Principal Components, Sufficient Dimension Reduction, and Envelopes

Cook, R. D., Mar 7 2018, In : Annual Review of Statistics and Its Application. 5, p. 533-559 27 p.

Research output: Contribution to journalArticle

Sufficient Dimension Reduction
Principal Components
Envelope
Sliced Average Variance Estimation
Central Subspace
1 Citation (Scopus)

Quantile-Optimal Treatment Regimes

Wang, L., Zhou, Y., Song, R. & Sherwood, B., Jul 3 2018, In : Journal of the American Statistical Association. 113, 523, p. 1243-1254 12 p.

Research output: Contribution to journalArticle

Quantile
Robust Estimation
Optimality Criteria
Convergence Rate
Estimator
4 Citations (Scopus)

Risk of suicidal behavior with use of efavirenz: Results from the strategic timing of antiretroviral treatment trial

Arenas-Pinto, A., Grund, B., Sharma, S., Martinez, E., Cummins, N., Fox, J., Klingman, K. L., Sedlacek, D., Collins, S., Flynn, P. M., Chasanov, W. M., Kedem, E., Katlama, C., Sierra-Madero, J., Afonso, C., Brouwers, P. & Cooper, D. A., Jul 18 2018, In : Clinical Infectious Diseases. 67, 3, p. 420-429 10 p.

Research output: Contribution to journalArticle

Open Access
efavirenz
Risk-Taking
Mental Disorders
Group Psychotherapy
Therapeutics
1 Citation (Scopus)

Robust Measurement via A Fused Latent and Graphical Item Response Theory Model

Chen, Y., Li, X., Liu, J. & Ying, Z., Sep 1 2018, In : Psychometrika. 83, 3, p. 538-562 25 p.

Research output: Contribution to journalArticle

Educational Measurement
Model Theory
Latent Trait
Learning
Psychology
3 Citations (Scopus)

Semiparametric estimation with data missing not at random using an instrumental variable

Sun, B. L., Liu, L., Miao, W., Wirth, K., Robins, J. & Tchetgen, E. J., Oct 1 2018, In : Statistica Sinica. 28, 4, p. 1965-1983 19 p.

Research output: Contribution to journalArticle

Semiparametric Estimation
Missing at Random
Instrumental Variables
Nonparametric Identification
Missing Data Mechanism

Shrinking characteristics of precision matrix estimators

Molstad, A. J. & Rothman, A. J., Jan 1 2018, In : Biometrika. 105, 3, p. 563-674 112 p.

Research output: Contribution to journalArticle

Shrinking
Estimator
Population
Predictive Model
multipliers

Sparse concordance-assisted learning for optimal treatment decision

Liang, S., Lu, W., Song, R. & Wang, L., Apr 1 2018, In : Journal of Machine Learning Research. 18, p. 1-26 26 p.

Research output: Contribution to journalArticle

Concordance
Decision Rules
Spearman's coefficient
Pairwise Comparisons
Loss Function

Sparse generalized eigenvalue problem: optimal statistical rates via truncated Rayleigh flow

Tan, K. M., Wang, Z., Liu, H. & Zhang, T., Nov 1 2018, In : Journal of the Royal Statistical Society. Series B: Statistical Methodology. 80, 5, p. 1057-1086 30 p.

Research output: Contribution to journalArticle

Generalized Eigenvalue Problem
Rayleigh
Nonconvex Optimization
Statistical Model
Sufficient Dimension Reduction

Sparsity Oriented Importance Learning for High-Dimensional Linear Regression

Ye, C., Yang, Y. & Yang, Y., Oct 2 2018, In : Journal of the American Statistical Association. 113, 524, p. 1797-1812 16 p.

Research output: Contribution to journalArticle

Sparsity
Linear regression
High-dimensional
Model Selection
Model
4 Citations (Scopus)

Strong consistency of multivariate spectral variance estimators in Markov chain Monte Carlo

Vats, D., Flegal, J. M. & Jones, G., Aug 1 2018, In : Bernoulli. 24, 3, p. 1860-1909 50 p.

Research output: Contribution to journalArticle

Strong Consistency
Variance Estimator
Markov Chain Monte Carlo
Vector Autoregressive Process
Asymptotic Covariance Matrix
3 Citations (Scopus)

Trace-class Monte Carlo Markov chains for Bayesian multivariate linear regression with non-Gaussian errors

Qin, Q. & Hobert, J. P., Jul 1 2018, In : Journal of Multivariate Analysis. 166, p. 335-345 11 p.

Research output: Contribution to journalArticle

Monte Carlo Markov Chain
Data Augmentation
Linear regression
Markov processes
Trace
1 Citation (Scopus)
4 Downloads (Pure)

Uniformly efficient simulation for extremes of Gaussian random fields

Li, X. & Xu, G., Mar 1 2018, In : Journal of Applied Probability. 55, 1, p. 157-178 22 p.

Research output: Contribution to journalArticle

File
Gaussian Random Field
Rare Events
Extremes
Rare Event Simulation
Simultaneous Estimation
Open Access
Students
Curriculum
Information Science
Aptitude
Licensure
15 Citations (Scopus)

Which HIV-infected adults with high CD4 T-cell counts benefit most from immediate initiation of antiretroviral therapy? A post-hoc subgroup analysis of the START trial

Molina, J. M., Grund, B., Gordin, F., Williams, I., Schechter, M., Losso, M., Law, M., Ekong, E., Mwelase, N., Skoutelis, A., Wiselka, M. J., Vandekerckhove, L., Benfield, T., Munroe, D., Lundgren, J. D. & Neaton, J. D., Apr 1 2018, In : The Lancet HIV. 5, 4, p. e172-e180

Research output: Contribution to journalArticle

CD4 Lymphocyte Count
Numbers Needed To Treat
HIV
T-Lymphocytes
CD4-CD8 Ratio
1 Citation (Scopus)

Wild residual bootstrap inference for penalized quantile regression with heteroscedastic errors

Wang, L., Van Keilegom, I. & Maidman, A., Dec 1 2018, In : Biometrika. 105, 4, p. 859-872 14 p.

Research output: Contribution to journalArticle

Heteroscedastic Errors
Penalized Regression
Quantile Regression
Bootstrap
Probability density function
2017
5 Citations (Scopus)

A Group-Specific Recommender System

Bi, X., Qu, A., Wang, J. & Shen, X., Jul 3 2017, In : Journal of the American Statistical Association. 112, 519, p. 1344-1353 10 p.

Research output: Contribution to journalArticle

Recommender Systems
Backfitting Algorithm
Alternating Least Squares
Competitive System
User Preferences

A novel and efficient algorithm for de novo discovery of mutated driver pathways in cancer

Liu, B., Wu, C., Shen, X. T. & Pan, W., Sep 1 2017, In : Annals of Applied Statistics. 11, 3, p. 1481-1512 32 p.

Research output: Contribution to journalArticle

Open Access
Driver
Pathway
Cancer
Mutation
Efficient Algorithms
3 Citations (Scopus)

A pilot study evaluating the prognostic utility of platelet indices in dogs with septic peritonitis

Llewellyn, E. A., Todd, J. M., Sharkey, L. C. & Rendahl, A., Sep 1 2017, In : Journal of Veterinary Emergency and Critical Care. 27, 5, p. 569-578 10 p.

Research output: Contribution to journalArticle

peritonitis
Peritonitis
Blood Platelets
Dogs
dogs

Asymptotically Optimal Sequential Design for Rank Aggregation

Chen, X., Chen, Y. & Li, X., 2017, In : arXiv preprint arXiv:1710.06056.

Research output: Contribution to journalArticle

Automatic tagging with existing and novel tags

Wang, J., Shen, X. T., Sun, Y. & Qu, A., Jun 1 2017, In : Biometrika. 104, 2, p. 273-290 18 p.

Research output: Contribution to journalArticle

Tagging
Linguistics
Labels
Margin
Pairwise
9 Citations (Scopus)

Cocolasso for high-dimensional error-in-variables regression

Datta, A. & Zou, H., Dec 1 2017, In : Annals of Statistics. 45, 6, p. 2400-2426 27 p.

Research output: Contribution to journalArticle

Errors in Variables
Cross-validation
Lasso
High-dimensional
Regression
5 Citations (Scopus)

Comparing large covariance matrices under weak conditions on the dependence structure and its application to gene clustering

Chang, J., Zhou, W., Zhou, W. X. & Wang, L., Mar 1 2017, In : Biometrics. 73, 1, p. 31-41 11 p.

Research output: Contribution to journalArticle

Dependence Structure
Covariance matrix
Cluster Analysis
Genes
Clustering
2 Citations (Scopus)

Cusum control for data following the von Mises distribution

Hawkins, D. M. & Lombard, F., Jun 11 2017, In : Journal of Applied Statistics. 44, 8, p. 1319-1332 14 p.

Research output: Contribution to journalArticle

Von Mises Distribution
Cumulative Sum
Control Charts
Quality Control
Cumulative sum
4 Citations (Scopus)

Decentralized sequential composite hypothesis test based on one-bit communication

Li, S., Li, X., Wang, X. & Liu, J., 2017, In : IEEE Transactions on Information Theory.

Research output: Contribution to journalArticle

2 Citations (Scopus)

Estimation and Inference of Quantile Regression for Survival Data Under Biased Sampling

Xu, G., Sit, T., Wang, L. & Huang, C. Y., Oct 2 2017, In : Journal of the American Statistical Association. 112, 520, p. 1571-1586 16 p.

Research output: Contribution to journalArticle

Biased Sampling
Resampling Methods
Quantile Regression
Survival Data
Case-cohort Design