Research Output 1969 2020

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2019

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

Jiang, T. & Wang, K., Aug 1 2019, In : Journal of Number Theory. 201, p. 322-353 32 p.

Research output: Contribution to journalArticle

Integer Partitions
Ramanujan
Saddle Point Method
Asymptotic Formula
Partition

Aggregated expectile regression by exponential weighting

Gu, Y. & Zou, H., Jan 1 2019, In : Statistica Sinica. 29, 2, p. 671-692 22 p.

Research output: Contribution to journalArticle

Weighting
Regression
Estimator
Local Polynomial Regression
Oracle Inequalities

A Multicategory Kernel Distance Weighted Discrimination Method for Multiclass Classification

Wang, B. & Zou, H., Jul 3 2019, In : Technometrics. 61, 3, p. 396-408 13 p.

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
3 Citations (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

A resampling approach to estimation of the linking variance in the Fay–Herriot model

Chatterjee, S., Jul 3 2019, In : Statistical Theory and Related Fields. 3, 2, p. 170-177 8 p.

Research output: Contribution to journalArticle

Resampling
Linking
Estimator
Numerics
Efficacy

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
1 Citation (Scopus)

Automatic Response Category Combination in Multinomial Logistic Regression

Price, B. S., Geyer, C. J. & Rothman, A. J., Jul 3 2019, In : Journal of Computational and Graphical Statistics. 28, 3, p. 758-766 9 p.

Research output: Contribution to journalArticle

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
1 Citation (Scopus)

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 2019, In : PloS one. 14, 5, e0217148.

Research output: Contribution to journalArticle

Open Access
Climate Change
food production
Climate change
Crops
Elaeis guineensis

Combining envelope methodology and aster models for variance reduction in life history analyses

Eck, D. J., Geyer, C. J. & Cook, R. D., Jan 1 2019, (Accepted/In press) In : Journal of Statistical Planning and Inference. 205, p. 283-292 10 p.

Research output: Contribution to journalArticle

Variance Reduction
Fitness
Envelope
Methodology
Covariance matrix
1 Citation (Scopus)

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
1 Citation (Scopus)

Convergence complexity analysis of albert and chib's algorithm for Bayesian probit regression

Qin, Q. & Hobert, J. P., Jan 1 2019, In : Annals of Statistics. 47, 4, p. 2320-2347 28 p.

Research output: Contribution to journalArticle

Probit Regression
Complexity Analysis
Convergence Analysis
Monte Carlo Markov Chain
Geometric Convergence

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
1 Citation (Scopus)

Distances between random orthogonal matrices and independent normals

Jiang, T. & Ma, Y., Aug 1 2019, In : Transactions of the American Mathematical Society. 372, 3, p. 1509-1553 45 p.

Research output: Contribution to journalArticle

Orthogonal matrix
Random Matrices
Zero
Total Variation Distance
Euclidean Distance

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
1 Citation (Scopus)

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

Envelope methods

Cook, R. D., Jan 1 2019, (Accepted/In press) In : Wiley Interdisciplinary Reviews: Computational Statistics. e1484.

Research output: Contribution to journalArticle

Envelope
Predictors
Multivariate Statistics
Graphical Methods
Dimension Reduction

Estimating the spectral gap of a trace-class Markov operator

Qin, Q., Hobert, J. P. & Khare, K., Jan 1 2019, In : Electronic Journal of Statistics. 13, 1, p. 1790-1822 33 p.

Research output: Contribution to journalArticle

Open Access
Trace Class Operators
Markov Operator
Spectral Gap
Largest Eigenvalue
Markov chain

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
2 Citations (Scopus)

Inference for the mode of a log-concave density

Doss, C. R. & Wellner, J. A., Jan 1 2019, In : Annals of Statistics. 47, 5, p. 2950-2976 27 p.

Research output: Contribution to journalArticle

Log-concave
Confidence interval
Maximum Likelihood Estimator
Constrained Estimation
Interval Methods

Interim monitoring in a treatment strategy trial with a composite primary endpoint

Kang, M., Grund, B., Hunsberger, S., Glidden, D. & Volberding, P., Nov 2019, In : Contemporary Clinical Trials. 86, 105846.

Research output: Contribution to journalArticle

Kaposi's Sarcoma
Clinical Trials Data Monitoring Committees
Etoposide
Disease Progression
Communication

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

Likelihood Ratio Tests for a Large Directed Acyclic Graph

Li, C., Shen, X. & Pan, W., Jan 1 2019, In : Journal of the American Statistical Association.

Research output: Contribution to journalArticle

Directed Acyclic Graph
Likelihood Ratio Test
Asymptotic distribution
Pathway
Chi-squared

Limiting Behavior of Largest Entry of Random Tensor Constructed by High-Dimensional Data

Jiang, T. & Xie, J., Jan 1 2019, (Accepted/In press) In : Journal of Theoretical Probability.

Research output: Contribution to journalArticle

Limiting Behavior
High-dimensional Data
Higher Dimensions
Tensor
Normalizing Constant

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
1 Citation (Scopus)

Model selection confidence sets by likelihood ratio testing

Zheng, C., Ferrari, D. & Yang, Y., Jan 1 2019, In : Statistica Sinica. 29, 2, p. 827-851 25 p.

Research output: Contribution to journalArticle

Confidence Set
Likelihood Ratio
Model Selection
Testing
Model
5 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

Multivariate Design of Experiments for Engineering Dimensional Analysis

Eck, D. J., Cook, R. D., Nachtsheim, C. J. & Albrecht, T. A., Jan 1 2019, In : Technometrics.

Research output: Contribution to journalArticle

Dimensional Analysis
Design of Experiments
Design of experiments
Engineering
Experiments
4 Citations (Scopus)

Multivariate output analysis for Markov chain Monte Carlo

Vats, D., Flegal, J. M. & Jones, G. L., Jan 1 2019, In : Biometrika. 106, 2, p. 321-337 17 p., asz002.

Research output: Contribution to journalArticle

Markov Chains
Markov Chain Monte Carlo
Markov processes
Multivariate Analysis
Effective Sample Size
1 Citation (Scopus)

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., Sep 15 2019, In : Journal of Agricultural, Biological, and Environmental Statistics. 24, 3, p. 484-501 18 p.

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 2019, In : Biometrics. 75, 1, p. 5-12 8 p.

Research output: Contribution to journalArticle

Binary Regression
Politics
Sample Size
Regression Model
Model-based

On High-Dimensional Constrained Maximum Likelihood Inference

Zhu, Y., Shen, X. & Pan, W., Jan 1 2019, In : Journal of the American Statistical Association.

Research output: Contribution to journalArticle

Likelihood Inference
Maximum Likelihood
High-dimensional
Regularization
Nuisance Parameter

On the forecast combination puzzle

Qian, W., Rolling, C. A., Cheng, G. & Yang, Y., Sep 2019, In : Econometrics. 7, 3, 39.

Research output: Contribution to journalArticle

Open Access
Forecast combination
Scenarios
Estimation error
Combination of forecasts
Evaluation
2 Citations (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
1 Citation (Scopus)
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

Sensors
hypothesis testing
experiment
costs
Sensor networks

Smooth neighborhood recommender systems

Dai, B., Wang, J., Shen, X. & Qu, A., Feb 1 2019, In : Journal of Machine Learning Research. 20

Research output: Contribution to journalArticle

Recommender Systems
Recommender systems
Covariates
Alternating Least Squares
Pooling
Sufficient Dimension Reduction
Variable Selection
Discrepancy
Sliced Average Variance Estimation
Central Subspace

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

The rate of bone loss slows after 1–2 years of initial antiretroviral therapy: final results of the Strategic Timing of Antiretroviral Therapy(START) bone mineral density substudy

for the International Network for Strategic Initiatives in Global HIV Trials START bone mineral density substudy group, Jan 1 2019, (Accepted/In press) In : HIV Medicine.

Research output: Contribution to journalArticle

Bone Density
Bone and Bones
Therapeutics
Spine
Hip
2 Citations (Scopus)
Wild Bootstrap
Climate Models
Bootstrap Method
Wavelets
Resampling

Univariate log-concave density estimation with symmetry or modal constraints

Doss, C. R. & Wellner, J. A., Jan 1 2019, In : Electronic Journal of Statistics. 13, 2, p. 2391-2461 71 p.

Research output: Contribution to journalArticle

Open Access
Log-concave
Density Estimation
Maximum Likelihood Estimator
Univariate
Symmetry
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