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ORCIDJan Hannig
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2020 – today
- 2024
[j18]Xi Yang, Jan Hannig
, Katherine A. Hoadley, Iain Carmichael, J. S. Marron:
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations. J. Comput. Graph. Stat. 33(2): 736-748 (2024)- 2023
- [j17]Xi Yang, Katherine A. Hoadley, Jan Hannig, J. S. Marron:
Jackstraw inference for AJIVE data integration. Comput. Stat. Data Anal. 180: 107649 (2023) - 2022
- [j16]Taylor Petty, Jan Hannig, Tunde I. Huszar, Hari Iyer:
A New String Edit Distance and Applications. Algorithms 15(7): 242 (2022) - [j15]Suofei Wu, Jan Hannig, Thomas C. M. Lee:
Uncertainty quantification for honest regression trees. Comput. Stat. Data Anal. 167: 107377 (2022) - [j14]Yi Su, Jan Hannig, Thomas C. M. Lee:
Uncertainty Quantification in Graphon Estimation Using Generalized Fiducial Inference. IEEE Trans. Signal Inf. Process. over Networks 8: 597-609 (2022) - 2021
- [j13]Shevaun D. Neupert, Claire M. Growney, Xianghe Zhu, Julia K. Sorensen, Emily L. Smith, Jan Hannig:
BFF: Bayesian, Fiducial, and Frequentist Analysis of Cognitive Engagement among Cognitively Impaired Older Adults. Entropy 23(4): 428 (2021) - [j12]Randy C. S. Lai, Jan Hannig, Thomas C. M. Lee:
Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference. J. Comput. Graph. Stat. 30(4): 934-945 (2021) - [j11]Weiwei Li, Jan Hannig, Sayan Mukherjee:
Subspace Clustering through Sub-Clusters. J. Mach. Learn. Res. 22: 53:1-53:37 (2021)
2010 – 2019
- 2019
- [i4]Weiwei Li, Jan Hannig, Corbin Jones:
A Note on Optimal Sampling Strategy for Structural Variant Detection Using Optical Mapping. CoRR abs/1910.04067 (2019) - 2018
- [j10]Qing Feng, Meilei Jiang, Jan Hannig, J. S. Marron:
Angle-based joint and individual variation explained. J. Multivar. Anal. 166: 241-265 (2018) - [j9]Sergio A. Almada Monter, Amarjit Budhiraja, Jan Hannig:
Source Detection Algorithms for Dynamic Contaminants Based on the Analysis of a Hydrodynamic Limit. SIAM J. Appl. Math. 78(5): 2279-2297 (2018) - [i3]Weiwei Li, Jan Hannig, Sayan Mukherjee:
Subspace Clustering through Sub-Clusters. CoRR abs/1811.06580 (2018) - 2016
- [j8]Xuhua Liu, Xingzhong Xu, Jan Hannig:
Least squares generalized inferences in unbalanced two-component normal mixed linear model. Comput. Stat. 31(3): 973-988 (2016) - 2015
- [i2]Sergio A. Almada Monter, Amarjit Budhiraja, Jan Hannig:
Source detection algorithms for dynamic contaminants based on the analysis of a hydrodynamic limit. CoRR abs/1510.05193 (2015) - 2014
- [j7]Jan Hannig, Randy C. S. Lai, Thomas C. M. Lee:
Computational issues of generalized fiducial inference. Comput. Stat. Data Anal. 71: 849-858 (2014) - [j6]Petro Borysov, Jan Hannig, J. S. Marron:
Asymptotics of hierarchical clustering for growing dimension. J. Multivar. Anal. 124: 465-479 (2014) - 2013
- [j5]Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep:
Approximating Extremely Large Networks via Continuum Limits. IEEE Access 1: 577-595 (2013) - 2011
- [j4]Damian V. Wandler, Jan Hannig:
Fiducial inference on the largest mean of a multivariate normal distribution. J. Multivar. Anal. 102(1): 87-104 (2011) - [c3]Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep:
Continuum modeling and control of large nonuniform networks. Allerton 2011: 1670-1677 - [r1]Jan Hannig, Hari Iyer, Thomas C. M. Lee:
Fiducial Inference. International Encyclopedia of Statistical Science 2011: 515-519 - [i1]Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep:
Continuum Limits of Markov Chains with Application to Network Modeling. CoRR abs/1106.4288 (2011) - 2010
- [c2]Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep:
On continuum limits of Markov chains and network modeling. CDC 2010: 6779-6784
2000 – 2009
- 2008
- [j3]Hua Li, Patricia R. Barbosa, Edwin K. P. Chong, Jan Hannig, Sanjeev R. Kulkarni:
Zero-error target tracking with limited communication. IEEE J. Sel. Areas Commun. 26(4): 686-694 (2008) - 2006
- [j2]Jan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni:
Relative Frequencies of Generalized Simulated Annealing. Math. Oper. Res. 31(1): 199-216 (2006) - 2005
- [c1]Jan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni:
Relative Frequencies of Non-homogeneous Markov Chains in Simulated Annealing and Related Algorithms. CDC/ECC 2005: 6626-6631 - 2004
- [j1]Jan Hannig, Thomas C. M. Lee:
Kernel smoothing of periodograms under Kullback-Leibler discrepancy. Signal Process. 84(7): 1255-1266 (2004)
Coauthor Index
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