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ORCIDJoseph G. Ibrahim
- > Home > Persons > Joseph G. Ibrahim
Publications
- 2024
[j12]David K. Lim
, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim:
Deeply Learned Generalized Linear Models with Missing Data. J. Comput. Graph. Stat. 33(2): 638-650 (2024)- [j11]Hillary M. Heiling, Naim U. Rashid, Quefeng Li, Joseph G. Ibrahim:
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models. R J. 15(4): 106-128 (2024) - 2022
- [i2]David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim:
Deeply-Learned Generalized Linear Models with Missing Data. CoRR abs/2207.08911 (2022) - 2021
- [i1]David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim:
Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders. CoRR abs/2101.07357 (2021) - 2019
- [j7]Anqi Zhu, Joseph G. Ibrahim, Michael I. Love:
Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences. Bioinform. 35(12): 2084-2092 (2019) - [c5]Jingwen Zhang, Joseph G. Ibrahim, Tengfei Li, Hongtu Zhu:
A Powerful Global Test Statistic for Functional Statistical Inference. AAAI 2019: 5765-5772 - 2017
- [j6]Zhaohua Lu, Zakaria Khondker, Joseph G. Ibrahim, Yue Wang, Hongtu Zhu:
Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies. NeuroImage 149: 305-322 (2017) - [c4]Jingwen Zhang, Chao Huang, Joseph G. Ibrahim, Shaili Jha, Rebecca C. Knickmeyer, John H. Gilmore, Martin Styner, Hongtu Zhu:
HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics. IPMI 2017: 478-489 - 2009
- [c3]Hongtu Zhu, Yimei Li, Joseph G. Ibrahim, Weili Lin, Dinggang Shen:
MARM: Multiscale Adaptive Regression Models for Neuroimaging Data. IPMI 2009: 314-325 - [c2]Xiaoyan Shi, Martin Styner, Jeffrey A. Lieberman, Joseph G. Ibrahim, Weili Lin, Hongtu Zhu:
Intrinsic Regression Models for Manifold-Valued Data. MICCAI (1) 2009: 192-199 - [c1]Yimei Li, Hongtu Zhu, Yasheng Chen, Joseph G. Ibrahim, Hongyu An, Weili Lin, Colin Hall, Dinggang Shen:
RADTI: regression analyses of diffusion tensor images. Medical Imaging: Image Processing 2009: 72591C - 2008
- [j2]Ying Yuan, Hongtu Zhu, Joseph G. Ibrahim, Weili Lin, Bradley S. Peterson:
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images. IEEE Trans. Medical Imaging 27(10): 1506-1514 (2008) - 2007
- [j1]Hongtu Zhu, Joseph G. Ibrahim, Niansheng Tang, D. B. Rowe, Xuejun Hao, Ravi Bansal, Bradley S. Peterson:
A Statistical Analysis of Brain Morphology Using Wild Bootstrapping. IEEE Trans. Medical Imaging 26(7): 954-966 (2007)
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