Research Output

11 Response surface designs

Draper, N. R. & Lin, D. K. J., Dec 1 1996, In : Handbook of Statistics. 13, p. 343-375 33 p.

Research output: Contribution to journalReview article

27 Scopus citations

19 Bootstrap methodology

Babu, G. J. & Radhakrishna Rao, C., Dec 1 1993, In : Handbook of Statistics. 9, p. 627-659 33 p.

Research output: Contribution to journalReview article

15 Scopus citations

20 Data-based sampling and model-based estimation for environmental resources

Patil, G. P., Babu, G. J., Hennemuth, R. C., Myers, W. L., Rajarshi, M. B. & Taillie, C., Dec 1 1988, In : Handbook of Statistics. 6, p. 489-513 25 p.

Research output: Contribution to journalReview article

1 Scopus citations

20 Statistical analysis with incomplete data: A selective review

Akritas, M. G. & LaValley, M. P., Dec 1 1997, In : Handbook of Statistics. 15, p. 551-632 82 p.

Research output: Contribution to journalReview article

7 Scopus citations

7 Statistical analysis of censored environmental data

Akritas, M. G., Ruscitti, T. F. & Patil, G. P., Dec 1 1994, In : Handbook of Statistics. 12, p. 221-242 22 p.

Research output: Contribution to journalReview article

13 Scopus citations

A 13-year follow-up of a coronary heart disease risk factor screening and exercise program for 40- to 59-year-old men: Exercise habit maintenance and physiologic status

Mackeen, P. C., Rosenberger, J. L., Slater, J. S., Nicholas, W. C. & Buskirk, E. R., Nov 1985, In : Journal of Cardiac Rehabilitation. 5, 11, p. 510-523 14 p.

Research output: Contribution to journalArticle

9 Scopus citations

A 400-year history of fire and oak recruitment in an old-growth oak forest in western Maryland, U.S.A.

Shumway, D. L., Abrams, M. D. & Ruffner, C. M., Jan 1 2001, In : Canadian Journal of Forest Research. 31, 8, p. 1437-1443 7 p.

Research output: Contribution to journalArticle

101 Scopus citations

A Bayesian approach to excess volatility, short-term underreaction and long-term overreaction during financial crises

Guo, X., McAleer, M., Wong, W. K. & Zhu, L., Nov 2017, In : North American Journal of Economics and Finance. 42, p. 346-358 13 p.

Research output: Contribution to journalArticle

6 Scopus citations

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

8 Scopus citations

A bayesian framework for functional mapping through joint modeling of longitudinal and time-to-event data

Das, K., Li, R., Huang, Z., Gai, J. & Wu, R., Jun 20 2012, In : International Journal of Plant Genomics. 2012, 680634.

Research output: Contribution to journalArticle

6 Scopus citations

A bayesian mixture model for comparative spectral count data in shotgun proteomics

Booth, J. G., Eilertson, K. E., Olinares, P. D. B. & Yu, H., Aug 1 2011, In : Molecular and Cellular Proteomics. 10, 8

Research output: Contribution to journalArticle

14 Scopus citations

A Bayesian semiparametric model for bivariate sparse longitudinal data

Das, K., Li, R., Sengupta, S. & Wu, R., Sep 30 2013, In : Statistics in Medicine. 32, 22, p. 3899-3910 12 p.

Research output: Contribution to journalArticle

10 Scopus citations

A block mixture model to map eQTLs for gene clustering and networking

Wang, N., Gosik, K., Li, R., Lindsay, B. & Wu, R., Feb 19 2016, In : Scientific reports. 6, 21193.

Research output: Contribution to journalArticle

1 Scopus citations

A Breiman type theorem for Gibbs measures

Gurevich, B. M. & Tempelman, A. A., Jul 1 2007, In : Journal of Dynamical and Control Systems. 13, 3, p. 363-371 9 p.

Research output: Contribution to journalArticle

Accelerating computation in Markov random field models for spatial data via structured MCMC

Haran, M., Hodges, J. S. & Carlin, B. P., Jun 1 2003, In : Journal of Computational and Graphical Statistics. 12, 2, p. 249-264 16 p.

Research output: Contribution to journalReview article

10 Scopus citations

Accelerating stochastic composition optimization

Wang, M., Liu, J. & Fang, E. X., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 1722-1730 9 p.

Research output: Contribution to journalConference article

12 Scopus citations

Accelerating Stochastic Composition Optimization

Wang, M., Liu, J. & Fang, E. X., Oct 1 2017, In : Journal of Machine Learning Research. 18, p. 1-23 23 p.

Research output: Contribution to journalArticle

2 Scopus citations

Acceleration of the EM algorithm using the Vector Aitken method and its Steffensen form

Guo, X., Li, Q. Y. & Xu, W. L., Feb 1 2017, In : Acta Mathematicae Applicatae Sinica. 33, 1, p. 175-182 8 p.

Research output: Contribution to journalArticle

Accounting for nonsampling error in estimates of HIV epidemic trends from antenatal clinic sentinel surveillance

Eaton, J. W. & Bao, L., Apr 1 2017, In : AIDS. 31, p. S61-S68

Research output: Contribution to journalArticle

6 Scopus citations

Accuracy of the bootstrap approximation

Bose, A. & Babu, G. J., Sep 1 1991, In : Probability Theory and Related Fields. 90, 3, p. 301-316 16 p.

Research output: Contribution to journalArticle

5 Scopus citations

Accurate and reproducible functional maps in 127 human cell types via 2D genome segmentation

Zhang, Y. & Hardison, R. C., Sep 1 2017, In : Nucleic acids research. 45, 17, p. 9823-9836 14 p.

Research output: Contribution to journalArticle

8 Scopus citations

Accurate estimation of structural equation models with remote partitioned data

Snoke, J., Brick, T. & Slavković, A., Jan 1 2016, Privacy in Statistical Databases - UNESCO Chair in Data Privacy International Conference, PSD 2016, Proceedings. Domingo-Ferrer, J. & Pejić-Bach, M. (eds.). Springer Verlag, p. 190-209 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9867 LNCS).

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

1 Scopus citations

A Characterization of a Matric‐Variate Exponential Distribution

Richards, D. S. P., Jun 1981, In : Australian Journal of Statistics. 23, 2, p. 238-239 2 p.

Research output: Contribution to journalArticle

A characterization of conjugate priors in exponential families with application to inverse regression

Luo, W. & Altman, N. S., Feb 1 2013, In : Statistics and Probability Letters. 83, 2, p. 650-654 5 p.

Research output: Contribution to journalArticle

1 Scopus citations

A climate sensitivity estimate using Bayesian fusion of instrumental observations and an Earth System model

Olson, R., Sriver, R., Goes, M., Urban, N. M., Matthews, H. D., Haran, M. & Keller, K., Jan 1 2012, In : Journal of Geophysical Research Atmospheres. 117, 4, D04103.

Research output: Contribution to journalArticle

45 Scopus citations

A coalescence-guided hierarchical Bayesian method for haplotype inference

Zhang, Y., Niu, T. & Liu, J. S., Aug 2006, In : American Journal of Human Genetics. 79, 2, p. 313-322 10 p.

Research output: Contribution to journalArticle

21 Scopus citations
3 Scopus citations

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

5 Scopus citations

A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-k in human populations

Li, W., Lin, L., Malhotra, R., Yang, L., Acharya, R. & Poss, M., Mar 2019, In : PLoS computational biology. 15, 3, e1006564.

Research output: Contribution to journalArticle

Open Access
2 Scopus citations

A computationally efficient approach to the estimation of two- and three-dimensional hidden Markov models

Joshi, D., Li, J. & Wang, J. Z., Jul 1 2006, In : IEEE Transactions on Image Processing. 15, 7, p. 1871-1886 16 p.

Research output: Contribution to journalArticle

22 Scopus citations

A Computationally Efficient Framework for Automatic Inertial Sensor Calibration

Balamuta, J. J., Molinari, R., Guerrier, S. & Yang, W., Feb 15 2018, In : IEEE Sensors Journal. 18, 4, p. 1636-1646 11 p., 8110606.

Research output: Contribution to journalArticle

2 Scopus citations

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

A Computationally Efficient Projection-Based Approach for Spatial Generalized Linear Mixed Models

Guan, Y. & Haran, M., Oct 2 2018, In : Journal of Computational and Graphical Statistics. 27, 4, p. 701-714 14 p.

Research output: Contribution to journalArticle

3 Scopus citations

A computational multivariate-based technique for inertial sensor calibration

Bakalli, G., Radi, A., El-Sheimy, N., Molinari, R. & Guerrier, S., Jan 1 2017, 30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017. Institute of Navigation, p. 3028-3038 11 p. (30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017; vol. 5).

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

4 Scopus citations

A Conceptual Approach to Calculus Made Possible by Technology

Thompson, P. W., Byerley, C. & Hatfield, N., Jul 8 2013, In : Computers in the Schools. 30, 1-2, p. 124-147 24 p.

Research output: Contribution to journalArticle

22 Scopus citations

A confidence region for the ridge path in multiple response surface optimization

Shi, L., Lin, D. K. J. & Peterson, J. J., Aug 1 2016, In : European Journal of Operational Research. 252, 3, p. 829-836 8 p.

Research output: Contribution to journalArticle

1 Scopus citations

A Conjugate Model for Dimensional Analysis

Shen, W. & Lin, D. K. J., Jan 2 2018, In : Technometrics. 60, 1, p. 79-89 11 p.

Research output: Contribution to journalArticle

1 Scopus citations

A consistent estimator for logistic mixed effect models

Wei, Y., Ma, Y., Garcia, T. P. & Sinha, S., Jun 2019, In : Canadian Journal of Statistics. 47, 2, p. 140-156 17 p.

Research output: Contribution to journalArticle

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

10 Scopus citations

A construction method for orthogonal Latin hypercube designs

Steinberg, D. M. & Lin, D. K. J., Jun 1 2006, In : Biometrika. 93, 2, p. 279-288 10 p.

Research output: Contribution to journalArticle

84 Scopus citations

A construction method for orthogonal latin hypercube designs with prime power levels

Pang, F., Liu, M. Q. & Lin, D. K. J., Oct 1 2009, In : Statistica Sinica. 19, 4, p. 1721-1728 8 p.

Research output: Contribution to journalArticle

40 Scopus citations

A continuous threshold expectile model

Zhang, F. & Li, Q., Dec 1 2017, In : Computational Statistics and Data Analysis. 116, p. 49-66 18 p.

Research output: Contribution to journalArticle

2 Scopus citations

Acoustic detections of blue whale (Balaenoptera musculus) and fin whale (B. physalus) sounds during a SURTASS LFA exercise

Clark, C. W. & Altman, N. S., Jan 1 2006, In : IEEE Journal of Oceanic Engineering. 31, 1, p. 120-128 9 p.

Research output: Contribution to journalArticle

6 Scopus citations

A covariance regression model

Hoff, P. D. & Niu, X., Apr 1 2012, In : Statistica Sinica. 22, 2, p. 729-753 25 p.

Research output: Contribution to journalArticle

31 Scopus citations

A cross-national study of transitions in deficit counts in two birth cohorts: Implications for modeling ageing

Mitnitski, A., Bao, L., Skoog, I. & Rockwood, K., Mar 1 2007, In : Experimental Gerontology. 42, 3, p. 241-246 6 p.

Research output: Contribution to journalArticle

32 Scopus citations

A deviance function for the quasi-likelihood method

Li, B., Dec 1 1993, In : Biometrika. 80, 4, p. 741-753 13 p.

Research output: Contribution to journalArticle

23 Scopus citations

Adipocyte OGT governs diet-induced hyperphagia and obesity

Li, M. D., Vera, N. B., Yang, Y., Zhang, B., Ni, W., Ziso-Qejvanaj, E., Ding, S., Zhang, K., Yin, R., Wang, S., Zhou, X., Fang, E. X., Xu, T., Erion, D. M. & Yang, X., Dec 1 2018, In : Nature communications. 9, 1, 5103.

Research output: Contribution to journalArticle

5 Scopus citations

A distance for HMMS based on aggregated wasserstein metric and state registration

Chen, Y., Ye, J. & Li, J., Jan 1 2016, Computer Vision - 14th European Conference, ECCV 2016, Proceedings. Sebe, N., Leibe, B., Matas, J. & Welling, M. (eds.). Springer Verlag, p. 451-466 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9910 LNCS).

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

4 Scopus citations

Admissibility of MLE for simultaneous estimation in negative binomial problems

Chow, M., Jan 1 1990, In : Journal of Multivariate Analysis. 33, 2, p. 212-219 8 p.

Research output: Contribution to journalArticle

1 Scopus citations

Admissibility of the nonparametric analog of the Pitman estimate in the case of one unknown parameter

Tempelman, A. & Jaura, J., Jan 1 1988, In : Lithuanian Mathematical Journal. 28, 1, p. 80-89 10 p.

Research output: Contribution to journalArticle