Find Research outputs

Search results

• Beam and Mode Analysis of Weak Bonding Flaws in a Layered Aluminum Plate

  Lu, I-T., Felsen, L. B., Klosner, J. M. & Gabay, C., Jan 1 1989, In: North-Holland Series in Applied Mathematics and Mechanics. 35, C, p. 195-203 9 p.

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

• Beam and mode analysis of weak bonding flaws in a layered aluminum plate

  Lu, I-T., Felsen, L. B., Klosner, J. M. & Gabay, C., 1987, Proceedings of the IUTAMIUPAP Symposium on Elastic Wave Propagation. Galway, Ireland. March 1988.

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

• Beacon-free scalable multi-hop data dissemination in Vehicular Ad hoc Networks

  Chaqfeh, M. & Lakas, A., Oct 2 2015, IWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference. Institute of Electrical and Electronics Engineers Inc., p. 280-284 5 p. 7289096. (IWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference).

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

• Be A City Planner: Installed Interactive Exhibit

  Mitsis, P., 2005

  Research output: Non-textual form › Exhibition/Curation

• Beaches, Fields, and other Network Environments

  Starosielski, N., 2011, In: Octopus Journal . 5, p. 1-7

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

• Be7(p,)8B cross section and the properties of Be7

  Csata, A., Langanke, K., Koonin, S. E. & Shoppa, T. D., 1995, In: Physical Review C. 52, 2, p. 1130-1133 4 p.

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

• BDNF is a negative modulator of morphine action

  Koo, J. W., Mazei-Robison, M. S., Chaudhury, D., Juarez, B., LaPlant, Q., Ferguson, D., Feng, J., Sun, H., Scobie, K. N., Damez-Werno, D., Crumiller, M., Ohnishi, Y. N., Ohnishi, Y. H., Mouzon, E., Dietz, D. M., Lobo, M. K., Neve, R. L., Russo, S. J., Han, M. H. & Nestler, E. J., Oct 5 2012, In: Science. 338, 6103, p. 124-128 5 p.

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

• BDDC preconditioners for spectral element discretizations of almost incompressible elasticity in three dimensions

  Pavarino, L. F., Widlund, O. B. & Zampini, S., 2010, In: SIAM Journal on Scientific Computing. 32, 6, p. 3604-3626 23 p.

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

• BDDC deluxe for isogeometric analysis

  Beirão da Veiga, L., Pavarino, L. F., Scacchi, S., Widlund, O. B. & Zampini, S., 2016, Domain Decomposition Methods in Science and Engineering XXII. Dickopf, T., Pavarino, L. F., Gander, M. J., Krause, R. & Halpern, L. (eds.). Springer Verlag, p. 15-28 14 p. (Lecture Notes in Computational Science and Engineering; vol. 104).

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

• BDDC deluxe for isogeometric analysis

  Widlund, O., Beirão Da Veiga, L., Pavarino, L. F., Scacchi, S. & Zampini, S., 2013, Proceedings of DD22, the Twenty-Second International Conference on Domain Decomposition, Lugano, Switzerland, September 16-20, 2013.

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

• BDDC deluxe domain decomposition

  Widlund, O. B. & Dohrmann, C. R., 2016, Domain Decomposition Methods in Science and Engineering XXII. Dickopf, T., Pavarino, L. F., Gander, M. J., Krause, R. & Halpern, L. (eds.). Springer Verlag, p. 93-103 11 p. (Lecture Notes in Computational Science and Engineering; vol. 104).

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

• BDDC and FETI-DP preconditioners for spectral element discretizations of almost incompressible elasticity

  Pavarino, L. F. & Widlund, O. B., 2011, Spectral and High Order Methods for Partial Differential Equations - Selected Papers from the ICOSAHOM'09 Conference. p. 479-486 8 p. (Lecture Notes in Computational Science and Engineering; vol. 76 LNCSE).

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

• BDDC algorithms for incompressible Stokes equations

  Li, J. & Widlund, O., 2006, In: SIAM Journal on Numerical Analysis. 44, 6, p. 2432-2455 24 p.

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

• BCL-6 expression predicts improved survival in patients with primary central nervous system lymphoma

  Braaten, K. M., Betensky, R. A., De Leval, L., Okada, Y., Hochberg, F. H., Louis, D. N., Harris, N. L. & Batchelor, T. T., Mar 1 2003, In: Clinical Cancer Research. 9, 3, p. 1063-1069 7 p.

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

• BCC-FCC, melting and reentrant transitions in colloidal crystals

  Chaikin, P. M., Pincus, P., Alexander, S. & Hone, D., Oct 1982, In: Journal of Colloid And Interface Science. 89, 2, p. 555-562 8 p.

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

• BC1 regulation of metabotropic glutamate receptor-mediated neuronal excitability

  Zhong, J., Chuang, S. C., Bianchi, R., Zhao, W., Lee, H., Fenton, A. A., Wong, R. K. S. & Tiedge, H., Aug 12 2009, In: Journal of Neuroscience. 29, 32, p. 9977-9986 10 p.

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

• BBC Interview/documentary : Odysseus

  Al-Ghoussein, T., Feb 1 2020

  Research output: Non-textual form › Documentary/Film/TV/Radio

• Bayesian Variable Selection Methods for Matched Case-Control Studies

  Asafu-Adjei, J., Mahlet, G. T., Coull, B., Balasubramanian, R., Lev, M., Schwamm, L. & Betensky, R., 2017, In: International Journal of Biostatistics. 13, 1, 20160043.

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

  Open Access

• Bayesian updating of infrastructure deterioration models

  Lu, Y. & Madanat, S., Oct 1994, In: Transportation Research Record. 1442, p. 110-114 5 p.

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

• Bayesian updating of earthquake vulnerability functions with application to mortality rates

  Noh, H. Y., Kiremidjian, A., Ceferino, L. & So, E., Aug 2017, In: Earthquake Spectra. 33, 3, p. 1173-1189 17 p.

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

• Bayesian theories of conditioning in a changing world

  Courville, A. C., Daw, N. D. & Touretzky, D. S., Jul 2006, In: Trends in Cognitive Sciences. 10, 7, p. 294-300 7 p.

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

• Bayesian Statistics

  Beck, N., Oct 1 2000, In: BMS Bulletin of Sociological Methodology/ Bulletin de Methodologie Sociologique. 68, 1, p. 44-45 2 p.

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

• Bayesian sensitivity analysis for offline policy evaluation

  Jung, J., Shroff, R., Feller, A. & Goel, S., Feb 7 2020, AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery, Inc, p. 64-70 7 p. (AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society).

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

• Bayesian reaction optimization as a tool for chemical synthesis

  Shields, B. J., Stevens, J., Li, J., Parasram, M., Damani, F., Alvarado, J. I. M., Janey, J. M., Adams, R. P. & Doyle, A. G., Feb 4 2021, In: Nature. 590, 7844, p. 89-96 8 p.

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

• Bayesian parameter estimation for space and time interacting earthquake rupture model using historical and physics-based simulated earthquake catalogs

  Ceferino, L., Galvez, P., Ampuero, J. P., Kiremidjian, A., Deierlein, G. & Villegas-Lanza, J. C., Dec 2021, In: Bulletin of the Seismological Society of America. 111, 6, p. 3356-3373 18 p.

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

• Bayesian optimization with gradients

  Wu, J., Poloczek, M., Wilson, A. G. & Frazier, P. I., 2017, In: Advances in Neural Information Processing Systems. 2017-December, p. 5268-5279 12 p.

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

• Bayesian nonparametric poisson factorization for recommendation systems

  Gopalan, P., Ruiz, F. J. R., Ranganath, R. & Blei, D. M., 2014, In: Journal of Machine Learning Research. 33, p. 275-283 9 p.

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

• Bayesian nonparametric modeling for causal inference

  Hill, J. L., Mar 2011, In: Journal of Computational and Graphical Statistics. 20, 1, p. 217-240 24 p.

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

• Bayesian nonparametric kernel-learning

  Oliva, J. B., Dubey, A., Wilson, A. G., Póczos, B., Schneider, J. & Xing, E. P., 2016, p. 1078-1086. 9 p.

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

• Bayesian networks and linear regression models of students’ goals, moods, and emotions

  Arroyo, I., Cooper, D. G., Burleson, W. & Woolf, B. P., Jan 1 2010, Handbook of Educational Data Mining. CRC Press, p. 323-338 16 p.

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

• Bayesian networks and linear regression models of students' goals, moods, and emotions

  Arroyo, I., Cooper, D. G., Burleson, W. & Woolf, B. P., 2010, Handbook of educational data mining. Romero, C., Ventura, S., Pechenizkiy, M. & Baker, R. (eds.). CRC Press, (Chapman & Hall CRC Data Mining and Knowledge Discovery series).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

• Bayesian multi-scale differential optical flow

  Simoncelli, E., Apr 1999, Handbook of computer vision and applications. Jahne, B., Haussecker, H. & Geissler, P. (eds.). Academic Press, Vol. 2. p. 397-422 chapter 14

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

• Bayesian multilevel mimic modeling for studying measurement invariance in cross-group comparisons

  Bruyneel, L., Li, B., Squires, A., Spotbeen, S., Meuleman, B., Lesaffre, E. & Sermeus, W., 2017, In: Medical Care. 55, 4, p. e25-e35

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

• Bayesian modeling of visual perception

  Mamassian, P., Landy, M. & Maloney, L., 2002, Probabilistic models of the brain: Perception and neural function. Rao, R., Lewicki, M. & Olshausen, B. (eds.). Cambridge, MA: MIT Press, p. 13-36

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

• Bayesian Model Averaging, Learning, and Model Selection

  Sargent, T., Evans, G. W., Honkapohja, S. & Williams, N., 2013, Macroeconomics at the Service of Public Policy. Sargent, T. J. & Vilmunen, J. (eds.). Oxford University Press

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

• Bayesian microsaccade detection

  Mihali, A., van Opheusden, B. & Ma, W. J., 2017, In: Journal of vision. 17, 1, 13.

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

• Bayesian learning leads to correlated equilibria in normal form games

  Nyarko, Y., Nov 1994, In: Economic Theory. 4, 6, p. 821-841 21 p.

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

• Bayesian learning in social networks

  Gale, D. & Kariv, S., Nov 2003, In: Games and Economic Behavior. 45, 2, p. 329-346 18 p.

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

• Bayesian learning and convergence to Nash equilibria without common priors

  Nyarko, Y., May 1998, In: Economic Theory. 11, 3, p. 643-655 13 p.

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

• Bayesian inference with probabilistic population codes

  Ma, W. J., Beck, J. M., Latham, P. E. & Pouget, A., Nov 2006, In: Nature Neuroscience. 9, 11, p. 1432-1438 7 p.

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

• Bayesian inference with incomplete knowledge explains perceptual confidence and its deviations from accuracy

  Khalvati, K., Kiani, R. & Rao, R. P. N., Dec 2021, In: Nature communications. 12, 1, 5704.

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

  Open Access

• Bayesian inference for cluster analysis of microarray data

  Mishra, B. & Cherepinsky, V., 2002, 2nd Cold Spring Harbor Laboratory/Welcome Trust Conference: Genome informatics, September 4-8 2002, Hinxton, UK.

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

• Bayesian inference for cluster analysis of microarray data

  Mishra, B. & Cherepinsky, V., 2002, AWM minisymposium at SIAM 2002 annual meeting, July 5-10, 2002 Philadelphia.

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

• Bayesian-inference-based recommendation in online social networks

  Yang, X., Guo, Y. & Liu, Y., 2013, In: IEEE Transactions on Parallel and Distributed Systems. 24, 4, p. 642-651 10 p., 6226378.

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

• Bayesian-inference based recommendation in online social networks

  Yang, X., Guo, Y. & Liu, Y., 2011, 2011 Proceedings IEEE INFOCOM. p. 551-555 5 p. 5935224. (Proceedings - IEEE INFOCOM).

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

• Bayesian identification of the tendon fascicle's structural composition using finite element models for helical geometries

  Karathanasopoulos, N., Angelikopoulos, P., Papadimitriou, C. & Koumoutsakos, P., Jan 1 2017, In: Computer Methods in Applied Mechanics and Engineering. 313, p. 744-758 15 p.

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

  Open Access

• Bayesian GAN

  Saatchi, Y. & Wilson, A. G., 2017, In: Advances in Neural Information Processing Systems. 2017-December, p. 3623-3632 10 p.

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

• Bayesian fan charts for U.K. inflation: Forecasting and sources of uncertainty in an evolving monetary system

  Cogley, T., Morozov, S. & Sargent, T. J., Nov 2005, In: Journal of Economic Dynamics and Control. 29, 11, p. 1893-1925 33 p.

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

• Bayesian Exploration into Competing Models for Opinion-Changing Behavior

  Hill, J., 2001, Proceedings of Society for Bayesian Statistical Science Section of the Joint Statistical Meetings.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

• Bayesian estimation of stochastic volatility models based on OU processes with marginal Gamma law

  Frühwirth-Schnatter, S. & Sögner, L., Mar 2009, In: Annals of the Institute of Statistical Mathematics. 61, 1, p. 159-179 21 p.

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