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• Bayesian learning for models of human speech perception

  Hasegawa-Johnson, M., 2003, Proceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003. IEEE Computer Society, p. 408-411 4 p. 1289432. (IEEE Workshop on Statistical Signal Processing Proceedings; vol. 2003-January).

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

• Bayesian knowledge fusion

  Santos, E., Wilkinson, J. T. & Santos, E. E., Nov 4 2009, Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22. p. 559-564 6 p. (Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22).

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

• Bayesian knowledge base tuning

  Santos, E., Gu, Q. & Santos, E. E., Oct 2013, In: International Journal of Approximate Reasoning. 54, 8, p. 1000-1012 13 p.

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

  Open Access

• Bayesian joint estimation of multiple graphical models

  Gan, L., Yang, X., Nariestty, N. N. & Liang, F., 2019, In: Advances in Neural Information Processing Systems. 32

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

• Bayesian information sharing enhances detection of regulatory associations in rare cell types

  Wu, A. P., Peng, J., Berger, B. & Cho, H., Jul 2021, In: Bioinformatics. 37, p. I349-I357

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

  Open Access

• Bayesian inference of dense structural response using vision-based measurements

  Gomez, F., Narazaki, Y., Hoskere, V., Spencer, B. F. & Smith, M. D., Apr 1 2022, In: Engineering Structures. 256, 113970.

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

• Bayesian Inference in Spatial Stochastic Volatility Models: An Application to House Price Returns in Chicago*

  Taşpınar, S., DoĞan, O., Chae, J. & Bera, A. K., Oct 2021, In: Oxford Bulletin of Economics and Statistics. 83, 5, p. 1243-1272 30 p.

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

• Bayesian inference for risk minimization via exponentially tilted empirical likelihood

  Tang, R. & Yang, Y., Sep 2022, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 84, 4, p. 1257-1286 30 p.

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

  Open Access

• Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models

  Chen, Y., Culpepper, S. A. & Chen, Y., Jun 2023, In: Psychometrika. 88, 2, p. 613-635 23 p.

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

• Bayesian group-sparse modeling and variational inference

  Babacan, S. D., Nakajima, S. & Do, M. N., Jul 1 2014, In: IEEE Transactions on Signal Processing. 62, 11, p. 2906-2921 16 p., 6804013.

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

• Bayesian function estimation using continuous wavelet dictionaries

  Chu, J. H., Clyde, M. A. & Liang, F., Oct 2009, In: Statistica Sinica. 19, 4, p. 1419-1438 20 p.

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

• Bayesian functional data clustering for temporal microarray data

  Ma, P., Zhong, W., Feng, Y. & Liu, J. S., 2008, In: International Journal of Plant Genomics. 2008, 231897.

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

  Open Access

• Bayesian fractional posteriors

  Bhattacharya, A., Pati, D. & Yang, A. Y. U. N., Feb 2019, In: Annals of Statistics. 47, 1, p. 39-66 28 p.

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

  Open Access

• Bayesian finite elements

  Haukaas, T., Gardoni, P. & Bebamzadeh, A., 2007, 10th International Conference on Applications of Statistics and Probability, ICASP10. p. 121-122 2 p. (Applications of Statistics and Probability in Civil Engineering - Proceedings of the 10th International Conference on Applications of Statistics and Probability, ICASP10).

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

• Bayesian estimation of the normal and shear stiffness for rock sockets in weak sedimentary rocks

  Asem, P. & Gardoni, P., Dec 2019, In: International Journal of Rock Mechanics and Mining Sciences. 124, 104129.

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

• Bayesian Estimation of the DINA Q matrix

  Chen, Y., Culpepper, S. A., Chen, Y. & Douglas, J., Mar 1 2018, In: Psychometrika. 83, 1, p. 89-108 20 p.

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

• Bayesian Estimation of the DINA Model With Gibbs Sampling

  Culpepper, S. A., Oct 1 2015, In: Journal of Educational and Behavioral Statistics. 40, 5, p. 454-476 23 p.

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

• Bayesian estimation of stochastic tail index from high-frequency financial data

  Doğan, O., Taşpınar, S. & Bera, A. K., Nov 2021, In: Empirical Economics. 61, 5, p. 2685-2711 27 p.

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

• Bayesian Estimation of Multivariate Latent Regression Models: Gauss Versus Laplace

  Culpepper, S. A. & Park, T., Oct 1 2017, In: Journal of Educational and Behavioral Statistics. 42, 5, p. 591-616 26 p.

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

• Bayesian estimation of labor demand by age: theoretical consistency and an application to an input–output model

  Kim, K. & Hewings, G. J. D., Jan 2 2019, In: Economic Systems Research. 31, 1, p. 44-69 26 p.

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

• BAYESIAN ESTIMATION OF GAUSSIAN CONDITIONAL RANDOM FIELDS

  Gan, L., Narisetty, N. N. & Liang, F., Jan 2022, In: Statistica Sinica. 32, 1, p. 131-152 22 p.

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

• Bayesian estimation in forest surveys when samples or prior information are fuzzy

  Gertner, G. Z. & Zhu, H., 1996, In: Fuzzy Sets and Systems. 77, 3, p. 277-290 14 p.

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

• Bayesian estimation and comparison of moment condition models

  Chib, S., Shin, M. & Simoni, A., Oct 2 2018, In: Journal of the American Statistical Association. 113, 524, p. 1656-1668 13 p.

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

• Bayesian decision aggregation in collaborative intrusion detection networks

  Fung, C. J., Zhu, Q., Boutaba, R. & Başar, T., 2010, Proceedings of the 2010 IEEE/IFIP Network Operations and Management Symposium, NOMS 2010. IEEE Computer Society, p. 349-356 8 p. 5488489. (Proceedings of the 2010 IEEE/IFIP Network Operations and Management Symposium, NOMS 2010).

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

• Bayesian crack detection in ultra high resolution multimodal images of paintings

  Cornelis, B., Yang, Y., Vogelstein, J. T., Dooms, A., Daubechies, I. & Dunson, D., 2013, 2013 18th International Conference on Digital Signal Processing, DSP 2013. 6622710. (2013 18th International Conference on Digital Signal Processing, DSP 2013).

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

• Bayesian co-segmentation of multiple MR images

  Liang, F. & Xu, J., 2010, In: Statistics and its Interface.

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

• Bayesian co-segmentation of multiple MR images

  Xu, J., Liang, F. & Gu, L., 2009, Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. p. 53-56 4 p. 5192981. (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009).

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

• Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective

  Zhang, J. Y., Khanna, R., Kyrillidis, A. & Koyejo, O., 2021, In: Proceedings of Machine Learning Research. 130, p. 2782-2790 9 p.

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

• Bayesian confidence intervals for true fractional coverage from finite transect measurements: Implications for cloud studies from space

  Astin, I., Di Girolamo, L. & Van De Poll, H. M., Aug 16 2001, In: Journal of Geophysical Research Atmospheres. 106, D15, p. 17303-17310 8 p., 2001JD900168.

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

• Bayesian Conditional Tensor Factorizations for High-Dimensional Classification

  Yang, Y. & Dunson, D. B., Apr 2 2016, In: Journal of the American Statistical Association. 111, 514, p. 656-669 14 p.

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

• Bayesian Co-clustering

  Shan, H. & Banerjee, A., 2008, Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008. p. 530-539 10 p. 4781148. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

• Bayesian cluster ensembles

  Wang, H., Shan, H. & Banerjee, A., 2009, Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics 133. p. 208-219 12 p. (Society for Industrial and Applied Mathematics - 9th SIAM International Conference on Data Mining 2009, Proceedings in Applied Mathematics; vol. 1).

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

• Bayesian cluster ensembles

  Wang, H., Shan, H. & Banerjee, A., Feb 2011, In: Statistical Analysis and Data Mining. 4, 1, p. 54-70 17 p.

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

• Bayesian calibration of ILLI-THERM for temperature prediction within airfield concrete pavement

  Gungor, O. E., Al-Qadi, I. L. & Garg, N., 2020, Accelerated Pavement Testing to Transport Infrastructure Innovation - Proceedings of 6th APT Conference. Chabot, A., Hornych, P., Harvey, J. & Loria-Salazar, L. G. (eds.). Springer, p. 418-427 10 p. (Lecture Notes in Civil Engineering; vol. 96 LNCE).

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

• Bayesian calibration of groundwater models with input data uncertainty

  Xu, T., Valocchi, A. J., Ye, M., Liang, F. & Lin, Y. F., Apr 1 2017, In: Water Resources Research. 53, 4, p. 3224-3245 22 p.

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

  Open Access

• Bayesian calibration and uncertainty quantification for TRACE based on PSBT benchmark

  Wang, C., Wu, X., Borowiec, K. & Kozlowski, T., 2018, AISTech 2018 Proceedings - Iron and Steel Technology Conference and Exposition. Association for Iron and Steel Technology, AISTECH, p. 419-422 4 p. (AISTech - Iron and Steel Technology Conference Proceedings; vol. 2018-May).

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

• Bayesian calibration and uncertainty quantification for trace based on PSBT benchmark

  Wang, C., Wu, X., Borowiec, K. & Kozlowski, T., 2018, In: Transactions of the American Nuclear Society. 118, p. 419-422 4 p.

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

• Bayesian blind deconvolution with general sparse image priors

  Babacan, S. D., Molina, R., Do, M. N. & Katsaggelos, A. K., Oct 30 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 6 ed. p. 341-355 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7577 LNCS, no. PART 6).

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

• Bayesian belief networks to integrate monitoring evidence of water distribution system contamination

  Dawsey, W. J., Minsker, B. S. & VanBlaricum, V. L., Jul 2006, In: Journal of Water Resources Planning and Management. 132, 4, p. 234-241 8 p.

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

• Bayesian beamforming for DOA uncertainty: Theory and implementation

  Lam, C. J. & Singer, A. C., Nov 2006, In: IEEE Transactions on Signal Processing. 54, 11, p. 4435-4445 11 p.

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

• Bayesian average or truncation at boundaries? The mechanisms underlying categorical bias in spatial memory

  Sampaio, C. & Wang, R. F., Apr 15 2019, In: Memory and Cognition. 47, 3, p. 473-484 12 p.

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

  Open Access

• Bayesian approach to sequence alignment algorithms for protein structure recognition

  Goldstein, R. A., Luthey-Schulten, Z. A. & Wolynes, P. G., 1995, Proceedings of the Hawaii International Conference on System Sciences. Nunamaker, J. F. & Sprague, R. H. J. (eds.). Publ by IEEE, p. 306-315 10 p. (Proceedings of the Hawaii International Conference on System Sciences; vol. 5).

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

• Bayesian and least squares approaches to ultrasonic scatterer size image formation

  Chaturvedi, P. & Insana, M. F., 1997, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 44, 1, p. 152-160 9 p.

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

• Bayesian Analysis via Gibbs Sampling of Susceptibility to Intramammary Infection in Holstein Cattle

  Rodriguez-Zas, S. L., Gianola, D. & Shook, G. E., Oct 1998, In: Journal of Dairy Science. 81, 10, p. 2710-2722 13 p.

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

• Bayesian Analysis of Rank Data with Covariates and Heterogeneous Rankers

  Li, X., Yi, D. & Liu, J. S., 2022, In: Statistical Science. 37, 1, p. 1-23 23 p.

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

• Bayesian activity estimation and uncertainty quantification of spent nuclear fuel using passive gamma emission tomography

  Eldaly, A. K., Fang, M., Di Fulvio, A., McLaughlin, S., Davies, M. E., Altmann, Y. & Wiaux, Y., Oct 2021, In: Journal of Imaging. 7, 10, 212.

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

  Open Access

• BAX regulates follicular endowment in mice

  Greenfeld, C. R., Pepling, M. E., Babus, J. K., Furth, P. A. & Flaws, J. A., May 2007, In: Reproduction. 133, 5, p. 865-876 12 p.

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

• BAX is involved in regulating follicular growth, but is dispensable for follicle atresia in adult mouse ovaries

  Greenfeld, C. R., Babus, J. K., Furth, P. A., Marion, S., Hoyer, P. B. & Flaws, J. A., Jan 2007, In: Reproduction. 133, 1, p. 107-116 10 p.

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

• Bauschinger effect in unpassivated freestanding nanoscale metal films

  Rajagopalan, J., Han, J. H. & Saif, M. T. A., Oct 2008, In: Scripta Materialia. 59, 7, p. 734-737 4 p.

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

• Bauchwandhernien bei stuten während der hochträchtigkeit: 13 Fälle (1995-2006)

  Translated title of the contribution: Body wall tears during late pregnancy in mares: 13 Cases (1995-2006)Ross, J., Palmer, J. E. & Wilkins, P. A., Sep 2008, In: Pferdeheilkunde. 24, 5, p. 734-736 3 p.

  Research output: Contribution to journal › Comment/debate › peer-review