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• B-cell infiltration in the respiratory mucosa of Turkeys exposed to subtype C avian metapneumovirus

  Ra, M. C., Khatri, M. & Sharma, J. M., Sep 1 2007, In: Avian diseases. 51, 3, p. 764-770 7 p.

  Research output: Contribution to journal › Article › peer-review
  13 Scopus citations

• B-cell depletion with anti-CD20 ameliorates autoimmune cholangitis but exacerbates colitis in transforming growth factor-β receptor II dominant negative mice

  Moritoki, Y., Lian, Z. X., Lindor, K., Tuscano, J., Tsuneyama, K., Zhang, W., Ueno, Y., Dunn, R., Kehry, M., Coppel, R. L., Mackay, I. R. & Gershwin, M. E., 2009, In: Hepatology. 50, 6, p. 1893-1903 11 p.

  Research output: Contribution to journal › Article › peer-review
  80 Scopus citations

• B cell depletion therapy exacerbates murine primary biliary cirrhosis

  Dhirapong, A., Lleo, A., Yang, G. X., Tsuneyama, K., Dunn, R., Kehry, M., Packard, T. A., Cambier, J. C., Liu, F. T., Lindor, K., Coppel, R. L., Ansari, A. A. & Gershwin, M. E., Feb 2011, In: Hepatology. 53, 2, p. 527-535 9 p.

  Research output: Contribution to journal › Article › peer-review
  62 Scopus citations

• BayesWipe: A scalable probabilistic framework for improving data quality

  De, S., Hu, Y., Meduri, V. V., Chen, Y. & Kambhampati, S., Oct 2016, In: Journal of Data and Information Quality. 8, 1, 5.

  Research output: Contribution to journal › Article › peer-review
  9 Scopus citations

• BayesWipe: A multimodal system for data cleaning and consistent query answering on structured bigdata

  De, S., Hu, Y., Chen, Y. & Kambhampati, S., Jan 7 2015, Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014. Chang, W., Huan, J., Cercone, N., Pyne, S., Honavar, V., Lin, J., Hu, X. T., Aggarwal, C., Mobasher, B., Pei, J. & Nambiar, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 15-24 10 p. 7004207. (Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  4 Scopus citations

• BayesRank: A bayesian approach to ranked peer grading

  Waters, A. E., Tinapple, D. & Baraniuk, R. G., Mar 14 2015, L@S 2015 - 2nd ACM Conference on Learning at Scale. Association for Computing Machinery, p. 177-183 7 p. (L@S 2015 - 2nd ACM Conference on Learning at Scale).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  18 Scopus citations

• Bayes inference for general repairable systems

  Pan, R. & Rigdon, S. E., Jan 2009, In: Journal of Quality Technology. 41, 1, p. 82-94 13 p.

  Research output: Contribution to journal › Article › peer-review
  27 Scopus citations

• Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review

  Smid, S. C., McNeish, D., Miočević, M. & van de Schoot, R., Jan 2 2020, In: Structural Equation Modeling. 27, 1, p. 131-161 31 p.

  Research output: Contribution to journal › Review article › peer-review

  Open Access
  60 Scopus citations

• Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry

  House, T., Ford, A., Lan, S., Bilson, S., Buckingham-Jeffery, E. & Girolami, M., Aug 1 2016, In: Journal of the Royal Society Interface. 13, 121, 20160279.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  12 Scopus citations

• Bayesian treed response surface models

  Chipman, H., George, E. I., Gramacy, R. B. & Mcculloch, R., Jul 1 2013, In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 3, 4, p. 298-305 8 p.

  Research output: Contribution to journal › Article › peer-review
  9 Scopus citations

• Bayesian treed models

  Chipman, H. A., George, E. I. & McCulloch, R. E., Jul 2002, In: Machine Learning. 48, 1-3, p. 299-320 22 p.

  Research output: Contribution to journal › Article › peer-review
  114 Scopus citations

• Bayesian target detection and localization using a dual-mode sensor

  Morrell, D. & Xue, Y., 2002, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 2.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  2 Scopus citations

• Bayesian tactile face

  Wang, Z., Xu, X. & Li, B., Sep 23 2008, 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. 4587374. (26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  10 Scopus citations

• Bayesian statistics with a smile: A resampling-sampling perspective

  Lopes, H. F., Polson, N. G. & Carvalho, C. M., Nov 2012, In: Brazilian Journal of Probability and Statistics. 26, 4, p. 358-371 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  8 Scopus citations

• Bayesian Statistics and Marketing

  Rossi, P. E., Allenby, G. M. & McCulloch, R., Oct 13 2006, Wiley. 348 p.

  Research output: Book/Report › Book
  623 Scopus citations

• Bayesian Statistic Based Multivariate Gaussian Process Approach for Offline/Online Fatigue Crack Growth Prediction

  Mohanty, S., Chattopadhyay, A., Peralta, P. & Das, S., Jul 2011, In: Experimental Mechanics. 51, 6, p. 833-843 11 p.

  Research output: Contribution to journal › Article › peer-review
  33 Scopus citations

• Bayesian Spatio-Temporal Modeling for Analysing Local Patterns of Crime Over Time at the Small-Area Level

  Law, J., Quick, M. & Chan, P., Mar 2014, In: Journal of Quantitative Criminology. 30, 1, p. 57-78 22 p.

  Research output: Contribution to journal › Article › peer-review
  69 Scopus citations

• Bayesian semiparametric Markov switching stochastic volatility model

  Virbickaitė, A. & Lopes, H. F., Jul 2019, In: Applied Stochastic Models in Business and Industry. 35, 4, p. 978-997 20 p.

  Research output: Contribution to journal › Article › peer-review
  2 Scopus citations

• Bayesian reliability modeling of multi-level system with interdependent subsystems and components

  Liu, J., Li, J. & Kim, B. U., Sep 22 2011, Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011. p. 252-257 6 p. 5984092. (Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics, ISI 2011).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  5 Scopus citations

• Bayesian regression tree models for causal inference: Regularization, confounding, and heterogeneous effects (with discussion)

  Hahn, P. R., Murray, J. S. & Carvalho, C. M., 2020, In: Bayesian Analysis. 15, 3, p. 965-1056 92 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  42 Scopus citations

• Bayesian psychometric modeling

  Levy, R. & Mislevy, R. J., May 25 2016, CRC Press. 452 p.

  Research output: Book/Report › Book
  68 Scopus citations

• Bayesian prediction of an epidemic curve

  Jiang, X., Wallstrom, G., Cooper, G. F. & Wagner, M. M., Feb 2009, In: Journal of Biomedical Informatics. 42, 1, p. 90-99 10 p.

  Research output: Contribution to journal › Article › peer-review
  20 Scopus citations

• Bayesian planning of step-stress accelerated degradation tests under various optimality criteria

  Zhao, X., Pan, R. & Xie, M., May 1 2019, In: Applied Stochastic Models in Business and Industry. 35, 3, p. 537-551 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  7 Scopus citations

• Bayesian phylogeography of influenza A/H3N2 for the 2014-15 season in the United States using three frameworks of ancestral state reconstruction

  Magee, D., Suchard, M. A. & Scotch, M., Feb 2017, In: PLoS computational biology. 13, 2, e1005389.

  Research output: Contribution to journal › Article › peer-review
  18 Scopus citations

• Bayesian phylogeography and pathogenic characterization of smallpox based on HA, ATI, and crMB genes

  Adam, D. C., Scotch, M. & MacIntyre, C. R., Nov 1 2018, In: Molecular biology and evolution. 35, 11, p. 2607-2617 11 p.

  Research output: Contribution to journal › Article › peer-review
  4 Scopus citations

• Bayesian Optimization in High-Dimensional Spaces: A Brief Survey

  Malu, M., Dasarathy, G. & Spanias, A., Jul 12 2021, IISA 2021 - 12th International Conference on Information, Intelligence, Systems and Applications. Institute of Electrical and Electronics Engineers Inc., 9555522. (IISA 2021 - 12th International Conference on Information, Intelligence, Systems and Applications).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Bayesian Nonparametric Modeling for Predicting Dynamic Dependencies in Multiple Object Tracking

  Moraffah, B. & Papandreou-Suppappola, A., Jan 1 2022, In: Sensors. 22, 1, 388.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Bayesian Nonparametric Modeling and Transfer Learning for Tracking under Measurement Noise Uncertainty

  Alotaibi, O. & Papandreou-Suppappola, A., 2021, 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021. Matthews, M. B. (ed.). IEEE Computer Society, p. 826-830 5 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2021-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Bayesian networks for supporting query processing over incomplete autonomous databases

  Raghunathan, R., De, S. & Kambhampati, S., Jun 2014, In: Journal of Intelligent Information Systems. 42, 3, p. 595-618 24 p.

  Research output: Contribution to journal › Article › peer-review
  5 Scopus citations

• Bayesian Networks

  González-Brenes, J. P., Behrens, J. T., Mislevy, R. J., Levy, R. & Dicerbo, K. E., Sep 22 2016, The Handbook of Cognition and Assessment. Wiley-Blackwell, p. 328-353 26 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  4 Scopus citations

• Bayesian network modeling for student- and domain-level inferences

  Levy, R. & Crawford, A. V., 2009.

  Research output: Contribution to conference › Paper › peer-review

• Bayesian Network inference for probabilistic strength estimation of aging pipeline systems

  Dahire, S., Tahir, F., Jiao, Y. & Liu, Y., May 2018, In: International Journal of Pressure Vessels and Piping. 162, p. 30-39 10 p.

  Research output: Contribution to journal › Article › peer-review
  19 Scopus citations

• Bayesian network implementation of Levi's epistemic utility decision theory

  Morrell, D. & Driver, E., Aug 1995, In: International Journal of Approximate Reasoning. 13, 2, p. 127-149 23 p.

  Research output: Contribution to journal › Article › peer-review

• Bayesian network for reliability prediction in functional design stage

  Yontay, P., Sanchez, L. M. & Pan, R., May 8 2015, RAMS 2015 - 61st Annual Reliability and Maintainability Symposium, Proceedings and Tutorials 2015. Institute of Electrical and Electronics Engineers Inc., 7105117. (Proceedings - Annual Reliability and Maintainability Symposium; vol. 2015-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  7 Scopus citations

• Bayesian network based covariance monitoring

  Huang, S. & Li, J., 2011, 61st Annual IIE Conference and Expo Proceedings. Institute of Industrial Engineers

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Scopus citations

• Bayesian multiple membership multiple classification logistic regression model on student performance with random effects in university instructors and majors

  Arreola, E. V. & Wilson, J. R., Jan 1 2020, In: PloS one. 15, 1, e0227343.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Bayesian model uncertainty in smooth transition autoregressions

  Lopes, H. F. & Salazar, E., Jan 2006, In: Journal of Time Series Analysis. 27, 1, p. 99-117 19 p.

  Research output: Contribution to journal › Article › peer-review
  22 Scopus citations

• Bayesian Modelling of Alluvial Diagram Complexity

  Arunkumar, A., Ginjpalli, S. & Bryan, C., 2021, Proceedings - 2021 IEEE Visualization Conference - Short Papers, VIS 2021. Institute of Electrical and Electronics Engineers Inc., p. 51-55 5 p. (Proceedings - 2021 IEEE Visualization Conference - Short Papers, VIS 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Bayesian Modeling of NMR Data: Quantifying Longitudinal Relaxation in Vivo, and in Vitro with a Tissue-Water-Relaxation Mimic (Crosslinked Bovine Serum Albumin)

  Meinerz, K., Beeman, S. C., Duan, C., Bretthorst, G. L., Garbow, J. R. & Ackerman, J. J. H., Jan 1 2018, In: Applied Magnetic Resonance. 49, 1, p. 3-24 22 p.

  Research output: Contribution to journal › Article › peer-review
  4 Scopus citations

• Bayesian modeling of multi-state hierarchical systems with multi-level information aggregation

  Li, M., Liu, J., Li, J. & Uk Kim, B., Apr 2014, In: Reliability Engineering and System Safety. 124, p. 158-164 7 p.

  Research output: Contribution to journal › Article › peer-review
  58 Scopus citations

• Bayesian modeling of financial returns: A relationship between volatility and trading volume

  Abanto-Valle, C. A., Migon, H. S. & Lopes, H. F., Mar 2010, In: Applied Stochastic Models in Business and Industry. 26, 2, p. 172-193 22 p.

  Research output: Contribution to journal › Article › peer-review
  6 Scopus citations

• Bayesian model assessment in factor analysis

  Lopes, H. F. & West, M., Jan 2004, In: Statistica Sinica. 14, 1, p. 41-67 27 p.

  Research output: Contribution to journal › Review article › peer-review
  267 Scopus citations

• Bayesian methods for face recognition from video

  Chellappa, R., Zhou, S. & Li, B., 2002, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 4.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  6 Scopus citations

• Bayesian meta-analysis for longitudinal data models using multivariate mixture priors

  Lopes, H. F., Müller, P. & Rosner, G. L., Mar 2003, In: Biometrics. 59, 1, p. 66-75 10 p.

  Research output: Contribution to journal › Article › peer-review
  24 Scopus citations

• Bayesian Mediation Analysis

  Yuan, Y. & Mackinnon, D., Dec 2009, In: Psychological Methods. 14, 4, p. 301-322 22 p.

  Research output: Contribution to journal › Article › peer-review
  308 Scopus citations

• Bayesian maximum entropy mapping and the soft data problem in urban climate research

  Lee, S. J., Balling, R. & Gober, P., 2008, In: Annals of the Association of American Geographers. 98, 2, p. 309-322 14 p.

  Research output: Contribution to journal › Article › peer-review
  39 Scopus citations

• Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies

  Lu, Z. H., Khondker, Z., Ibrahim, J. G., Wang, Y. & Zhu, H., Apr 1 2017, In: NeuroImage. 149, p. 305-322 18 p.

  Research output: Contribution to journal › Article › peer-review
  12 Scopus citations

• Bayesian Instrumental Variables: Priors and Likelihoods

  Lopes, H. F. & Polson, N. G., Feb 2014, In: Econometric Reviews. 33, 1-4, p. 100-121 22 p.

  Research output: Contribution to journal › Review article › peer-review
  18 Scopus citations

• Bayesian information fusion of multmodality nondestructive measurements for probabilistic mechanical property estimation

  Chen, J. & Liu, Y., 2020, Safety Engineering, Risk, and Reliability Analysis. American Society of Mechanical Engineers (ASME), V014T14A006. (ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE); vol. 14).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Bayesian inference of trend and difference-stationarity

  Mcculloch, R. E. & Tsay, R. S., Aug 1994, In: Econometric Theory. 10, 3-4, p. 596-608 13 p.

  Research output: Contribution to journal › Article › peer-review
  15 Scopus citations