Jan Hannig

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 14

Top Topics

Computational Issues

Subspace Projections

Top Venues

Comput. Stat. Data Anal.

J. Comput. Graph. Stat.

J. Multivar. Anal.

Publications

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) (2024)
Xi Yang, Katherine A. Hoadley, Jan Hannig, J. S. Marron
Jackstraw inference for AJIVE data integration. Comput. Stat. Data Anal. 180 (2023)
Taylor Petty, Jan Hannig, Tunde I. Huszar, Hari Iyer
A New String Edit Distance and Applications. Algorithms 15 (7) (2022)
Suofei Wu, Jan Hannig, Thomas C. M. Lee
Uncertainty quantification for honest regression trees. Comput. Stat. Data Anal. 167 (2022)
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 (2022)
Weiwei Li, Jan Hannig, Sayan Mukherjee
Subspace Clustering through Sub-Clusters. J. Mach. Learn. Res. 22 (2021)
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) (2021)
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) (2021)
Weiwei Li, Jan Hannig, Corbin Jones
A Note on Optimal Sampling Strategy for Structural Variant Detection Using Optical Mapping. CoRR (2019)
Weiwei Li, Jan Hannig, Sayan Mukherjee
Subspace Clustering through Sub-Clusters. CoRR (2018)
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) (2018)
Qing Feng, Meilei Jiang, Jan Hannig, J. S. Marron
Angle-based joint and individual variation explained. J. Multivar. Anal. 166 (2018)
Xuhua Liu, Xingzhong Xu, Jan Hannig
Least squares generalized inferences in unbalanced two-component normal mixed linear model. Comput. Stat. 31 (3) (2016)
Sergio A. Almada Monter, Amarjit Budhiraja, Jan Hannig
Source detection algorithms for dynamic contaminants based on the analysis of a hydrodynamic limit. CoRR (2015)
Jan Hannig, Randy C. S. Lai, Thomas C. M. Lee
Computational issues of generalized fiducial inference. Comput. Stat. Data Anal. 71 (2014)
Petro Borysov, Jan Hannig, J. S. Marron
Asymptotics of hierarchical clustering for growing dimension. J. Multivar. Anal. 124 (2014)
Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep
Approximating Extremely Large Networks via Continuum Limits. IEEE Access 1 (2013)
Damian V. Wandler, Jan Hannig
Fiducial inference on the largest mean of a multivariate normal distribution. J. Multivar. Anal. 102 (1) (2011)
Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep
Continuum Limits of Markov Chains with Application to Network Modeling CoRR (2011)
Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep
Continuum modeling and control of large nonuniform networks. Allerton (2011)
Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep
On continuum limits of Markov chains and network modeling. CDC (2010)
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) (2008)
Jan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni
Relative Frequencies of Generalized Simulated Annealing. Math. Oper. Res. 31 (1) (2006)
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)
Jan Hannig, Thomas C. M. Lee
Kernel smoothing of periodograms under Kullback-Leibler discrepancy. Signal Process. 84 (7) (2004)