Research Output 1969 2019

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2019

A generalized Hardy-Ramanujan formula for the number of restricted integer partitions

Jiang, T. & Wang, K., Jan 1 2019, In : Journal of Number Theory.

Research output: Contribution to journalArticle

Integer Partitions
Ramanujan
Saddle Point Method
Asymptotic Formula
Partition

A Multicategory Kernel Distance Weighted Discrimination Method for Multiclass Classification

Wang, B. & Zou, H., Jan 1 2019, In : Technometrics.

Research output: Contribution to journalArticle

Multi-class Classification
Discrimination
kernel
Classification Problems
Margin

A Penalized Likelihood Method for Classification With Matrix-Valued Predictors

Molstad, A. J. & Rothman, A. J., Jan 2 2019, In : Journal of Computational and Graphical Statistics. 28, 1, p. 11-22 12 p.

Research output: Contribution to journalArticle

Penalized Likelihood
Likelihood Methods
Predictors
Estimator
Coordinate Descent
Microscopy
Proteins
Learning
Computational Biology
Datasets
1 Citation (Scopus)

A reinforcement learning approach to personalized learning recommendation systems

Tang, X., Chen, Y., Li, X., Liu, J. & Ying, Z., Feb 1 2019, In : British Journal of Mathematical and Statistical Psychology. 72, 1, p. 108-135 28 p.

Research output: Contribution to journalArticle

Recommendation System
Learning Systems
Reinforcement Learning
Learning
Engine

Asymptotically Optimal Prediction for Time-Varying Data Generating Processes

Ding, J., Zhou, J. & Tarokh, V., May 1 2019, In : IEEE Transactions on Information Theory. 65, 5, p. 3034-3067 34 p., 8543249.

Research output: Contribution to journalArticle

methodology
Kinetics
entropy
structural change
time series
Logistic Regression
Method of multipliers
Estimator
Alternating Direction Method
Penalized Likelihood

Bayesian high-dimensional regression for change point analysis

Datta, A., Zou, H. & Banerjee, S., Jan 1 2019, In : Statistics and its Interface. 12, 2, p. 253-264 12 p.

Research output: Contribution to journalArticle

Change-point Analysis
Change Point
High-dimensional
Regression
Covariates
Spectral Estimation
Functional Magnetic Resonance Imaging
Data analysis
Fluctuations
Neuroimaging
2 Citations (Scopus)

Bayesian Model Comparison with the Hyvärinen Score: Computation and Consistency

Shao, S., Jacob, P. E., Ding, J. & Tarokh, V., Jan 1 2019, In : Journal of the American Statistical Association.

Research output: Contribution to journalArticle

Model Comparison
Bayesian Model
Bayes Factor
Scoring
Likelihood

Climate change has likely already affected global food production

Ray, D., West, P. C., Clark, M., Gerber, J. S., Prishchepov, A. V. & Chatterjee, S. B., May 1 2019, In : PloS one. 14, 5, e0217148.

Research output: Contribution to journalArticle

Open Access
Climate Change
food production
Climate change
Crops
Elaeis guineensis

Concave regression: value-constrained estimation and likelihood ratio-based inference

Doss, C. R., Mar 1 2019, In : Mathematical Programming. 174, 1-2, p. 5-39 35 p.

Research output: Contribution to journalArticle

Constrained Estimation
Likelihood Ratio Statistic
Least Squares Estimator
Likelihood Ratio
Null hypothesis
1 Citation (Scopus)

Constrained likelihood for reconstructing a directed acyclic Gaussian graph

Yuan, Y., Shen, X. T., Pan, W. & Wang, Z., Mar 1 2019, In : Biometrika. 106, 1, p. 109-125 17 p.

Research output: Contribution to journalArticle

Parameter estimation
Error analysis
Maximum likelihood
Computational complexity
Likelihood

Determinant of sample correlation matrix with application

Jiang, T., Jan 1 2019, In : Annals of Applied Probability. 29, 3, p. 1356-1397 42 p.

Research output: Contribution to journalArticle

Correlation Matrix
Central limit theorem
Determinant
Pearson Correlation
Smallest Eigenvalue

Doubly robust estimation in observational studies with partial interference

Liu, L., Hudgens, M. G., Saul, B., Clemens, J. D., Ali, M. & Emch, M. E., Jan 1 2019, In : Stat. 8, 1, e214.

Research output: Contribution to journalArticle

Observational Study
Robust Estimation
Interference
Estimator
Partial

Empirical Distributions of Eigenvalues of Product Ensembles

Jiang, T. & Qi, Y., Mar 15 2019, In : Journal of Theoretical Probability. 32, 1, p. 353-394 42 p.

Research output: Contribution to journalArticle

Empirical Distribution
Point Process
Ensemble
Eigenvalue
Random Matrices

Estimation of the evolutionary spectra with application to stationarity test

Xiang, Y., Ding, J. & Tarokh, V., Mar 1 2019, In : IEEE Transactions on Signal Processing. 67, 5, p. 1353-1365 13 p., 8598905.

Research output: Contribution to journalArticle

Spectral density
Fourier transforms

Inverse regression for ridge recovery: a data-driven approach for parameter reduction in computer experiments

Glaws, A., Constantine, P. G. & Cook, R. D., Jan 1 2019, In : Statistics and Computing.

Research output: Contribution to journalArticle

Sliced Average Variance Estimation
Inverse Regression
Sufficient Dimension Reduction
Sliced Inverse Regression
Computer Experiments

Joint Maximum Likelihood Estimation for High-Dimensional Exploratory Item Factor Analysis

Chen, Y., Li, X. & Zhang, S., Mar 15 2019, In : Psychometrika. 84, 1, p. 124-146 23 p.

Research output: Contribution to journalArticle

Maximum likelihood estimation
Factor analysis
Factor Analysis
Maximum Likelihood Estimation
Maximum Likelihood Estimator

Minimax-rate adaptive nonparametric regression with unknown correlations of errors

Yang, G. & Yang, Y., Feb 1 2019, In : Science China Mathematics. 62, 2, p. 227-244 18 p.

Research output: Contribution to journalArticle

Minimax Rate
Nonparametric Regression
Unknown
Range of data
Specification
4 Citations (Scopus)

Multiclass sparse discriminant analysis

Mai, Q., Yang, Y. & Zou, H., Jan 1 2019, In : Statistica Sinica. 29, 1, p. 97-111 15 p.

Research output: Contribution to journalArticle

Multi-class
Discriminant Analysis
Multi-class Classification
Variable Selection
Justification

New Exploratory Tools for Extremal Dependence: χ Networks and Annual Extremal Networks

Huang, W. K., Cooley, D. S., Ebert-Uphoff, I., Chen, C. & Chatterjee, S. B., Jan 1 2019, In : Journal of Agricultural, Biological, and Environmental Statistics.

Research output: Contribution to journalArticle

Hurricanes
Precipitation (meteorology)
Risk assessment
hurricane
Annual

Novel criteria to exclude the surrogate paradox and their optimalities

Yin, Y., Liu, L., Geng, Z. & Luo, P., Jan 1 2019, In : Scandinavian Journal of Statistics.

Research output: Contribution to journalArticle

Paradox
Optimality
Causal Effect
Surrogate Endpoint
Observed Information

On assessing binary regression models based on ungrouped data

Lu, C. & Yang, Y., Mar 1 2019, In : Biometrics. 75, 1, p. 5-12 8 p.

Research output: Contribution to journalArticle

Binary Regression
Politics
Sample Size
Regression Model
Model-based
Likelihood Inference
Maximum Likelihood
High-dimensional
Regularization
Nuisance Parameter
1 Citation (Scopus)

Partial least squares prediction in high-dimensional regression

Cook, R. D. & Forzani, L., Apr 1 2019, In : Annals of Statistics. 47, 2, p. 884-908 25 p.

Research output: Contribution to journalArticle

Partial Least Squares
Predictors
High-dimensional
Regression
Prediction
Meta-Analysis
Databases
Bayes Theorem

Sequential Hypothesis Test with Online Usage-Constrained Sensor Selection

Li, S., Li, X., Wang, X. & Liu, J., Jul 1 2019, In : IEEE Transactions on Information Theory. 65, 7, p. 4392-4410 19 p., 8688570.

Research output: Contribution to journalArticle

Optimal systems
Structural optimization
Dynamic programming
Sensor networks
Numerical methods

Statistical analysis of complex problem-solving process data: An event history analysis approach

Chen, Y., Li, X., Liu, J. & Ying, Z., Jan 1 2019, In : Frontiers in Psychology. 10, MAR, 486.

Research output: Contribution to journalArticle

Open Access
Life Change Events
Aptitude
Students
2 Citations (Scopus)
Wild Bootstrap
Climate Models
Bootstrap Method
Wavelets
Resampling
2018
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
1 Citation (Scopus)

ADMM for High-Dimensional Sparse Penalized Quantile Regression

Gu, Y., Fan, J., Kong, L., Ma, S. & Zou, H., Jul 3 2018, In : Technometrics. 60, 3, p. 319-331 13 p.

Research output: Contribution to journalArticle

Method of multipliers
Penalized Regression
Alternating Direction Method
Quantile Regression
High-dimensional

A multilevel approach towards unbiased sampling of random elliptic partial differential equations

Li, X., Liu, J. & Xu, S., Dec 1 2018, In : Advances in Applied Probability. 50, 4, p. 1007-1031 25 p.

Research output: Contribution to journalArticle

Elliptic Partial Differential Equations
Partial differential equations
Sampling
Multilevel Methods
Higher Order Approximation
1 Citation (Scopus)

An alternative robust estimator of average treatment effect in causal inference

Liu, J., Ma, Y. & Wang, L., Sep 1 2018, In : Biometrics. 74, 3, p. 910-923 14 p.

Research output: Contribution to journalArticle

Average Treatment Effect
Causal Inference
Propensity Score
Robust Estimators
Alternatives

A noninformative bayesian approach for selecting a good post-stratification

Zimmerman, P. & Meeden, G. D., Jan 1 2018, In : Electronic Journal of Statistics. 12, 2, p. 2515-2536 22 p.

Research output: Contribution to journalArticle

Post-stratification
Stratification
Bayesian Approach
Estimator
Survey Sampling
4 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
3 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
1 Citation (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
11 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
2 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
5 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

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
2 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
2 Citations (Scopus)
Clinical Trials Data Monitoring Committees
Research Personnel
History
Committee Membership
Safety
3 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