| Learning a predictable and generative vector representation for objects R Girdhar, DF Fouhey, M Rodriguez, A Gupta Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 806 | 2016 |
| Bayesian semiparametric modelling in quantile regression A Kottas, M Krnjajić Scandinavian Journal of Statistics 36 (2), 297-319, 2009 | 202 | 2009 |
| Program quality with pair programming in CS1 B Hanks, C McDowell, D Draper, M Krnjajic Proceedings of the 9th annual SIGCSE conference on Innovation and technology …, 2004 | 164 | 2004 |
| Active Alu in Paternal Germlines> Active Alu Elements Are Passed Primarily through Paternal Germlines J Jurka, M Krnjajic, VV Kapitonov, JE Stenger, O Kokhanyy Theoretical Population Biology 61 (4), 519-530, 2002 | 75 | 2002 |
| Bayesian model specification D Draper, M Krnjajic Presentation at eighth Valencia/ISBA world meeting on Bayesian statistics 171, 2006 | 35 | 2006 |
| Parametric and nonparametric Bayesian model specification: A case study involving models for count data M Krnjajić, A Kottas, D Draper Computational Statistics & Data Analysis 52 (4), 2110-2128, 2008 | 34 | 2008 |
| Calibration results for Bayesian model specification D Draper, M Krnjajic Bayesian Analysis 1 (1), 1-43, 2010 | 25 | 2010 |
| Sequential Monte-Carlo based framework for dynamic data-driven event reconstruction for atmospheric release G Johannesson, FK Chow, L Glascoe, RE Glaser, WG Hanley, B Kosovic, ... Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2005 | 16 | 2005 |
| Bayesian model comparison: Log scores and DIC M Krnjajić, D Draper Statistics & Probability Letters 88, 9-14, 2014 | 9 | 2014 |
| Data analysis and event detection method and system V Hegde, M Krnjajic, M Hauswirth US Patent App. 15/739,797, 2018 | 6 | 2018 |
| Model-based approaches to nonparametric Bayesian quantile regression A Kottas, M Krnjajic, M Taddy Proceedings of the 2007 Joint Statistical Meetings, 1137-1148, 2007 | 4 | 2007 |
| Contributions to Bayesian statistical analysis: model specification and nonparametric inference M Krnjajic University of California, Santa Cruz, 2005 | 4 | 2005 |
| Bayesian model specification: some problems related to model choice and calibration M Krnjajic Proceedings of AMSA 2011, Novosibirsk, Russia, 2011 | 3 | 2011 |
| Development and application of a fast-running tool to characterize shock damage within tunnel structures LG Glascoe, JP Morris, LA Glenn, M Krnjajic Forensic Engineering 2009: Pathology of the Built Environment, 125-132, 2009 | 3 | 2009 |
| Bayesian nonparametric mixture modeling for the intensity function of non-homogeneous Poisson processes A Kottas Technical Report ams2005-02, Department of Applied Math and Statistics, UC …, 2005 | 3 | 2005 |
| Unsupervised event detection with infinite poisson mixture model V Hegde, M Krnjajic, A Pozdnoukhov 2015 IEEE International Congress on Big Data, 567-575, 2015 | 1 | 2015 |
| Multi-layer perceptrons and support vector machines for detection problems with low false alarm requirements: An eight-month progress report B Chen, T Hickling, M Krnjajic, W Hanley, G Clark, J Nitao, D Knapp, ... Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2007 | 1 | 2007 |
| Bayesian semiparametric Mixtures in Quantile Regression M Krnjajic, A Kottas APPLIED METHODS OF STATISTICAL ANALYSIS. NONPARAMETRIC APPROACH, 445-456, 2015 | | 2015 |
| Quantifying the price of uncertainty in Bayesian models M Krnjajic, D Draper Editors: Prof. Boris Lemeshko, Prof. Mikhail Nikulin, Prof. Narayanaswamy …, 2013 | | 2013 |
| Bayesian Nonparametrics M Krnjajić Journal of the American Statistical Association 106 (496), 1639-1641, 2011 | | 2011 |
