Jan Hannig

28 papers Journal 24Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generalized fiducial inference on differentiable manifolds.
Int. J. Approx. Reason.
Alexander C. Murph, Jonathan P. Williams, Jan Hannig
2025 J jnl
AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors.
J. Comput. Graph. Stat.
Wei Du, Jan Hannig, Thomas C. M. Lee, Yi Su, Chunzhe Zhang
2024 J jnl
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations.
J. Comput. Graph. Stat.
Xi Yang, Jan Hannig, Katherine A. Hoadley, Iain Carmichael, J. S. Marron
2023 J jnl
Jackstraw inference for AJIVE data integration.
Comput. Stat. Data Anal.
Xi Yang, Katherine A. Hoadley, Jan Hannig, J. S. Marron
2022 J jnl
A New String Edit Distance and Applications.
Algorithms
Taylor Petty, Jan Hannig, Tunde I. Huszar, Hari Iyer
2022 J jnl
Uncertainty Quantification in Graphon Estimation Using Generalized Fiducial Inference.
IEEE Trans. Signal Inf. Process. over Networks
Yi Su, Jan Hannig, Thomas C. M. Lee
2022 J jnl
Uncertainty quantification for honest regression trees.
Comput. Stat. Data Anal.
Suofei Wu, Jan Hannig, Thomas C. M. Lee
2021 J jnl
BFF: Bayesian, Fiducial, and Frequentist Analysis of Cognitive Engagement among Cognitively Impaired Older Adults.
Entropy
Shevaun D. Neupert, Claire M. Growney, Xianghe Zhu, Julia K. Sorensen, Emily L. Smith, Jan Hannig
2021 J jnl
Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference.
J. Comput. Graph. Stat.
Randy C. S. Lai, Jan Hannig, Thomas C. M. Lee
2021 J jnl
Subspace Clustering through Sub-Clusters.
J. Mach. Learn. Res.
Weiwei Li, Jan Hannig, Sayan Mukherjee
2019 J jnl
A Note on Optimal Sampling Strategy for Structural Variant Detection Using Optical Mapping.
CoRR
Weiwei Li, Jan Hannig, Corbin Jones
2018 J jnl
Angle-based joint and individual variation explained.
J. Multivar. Anal.
Qing Feng, Meilei Jiang, Jan Hannig, J. S. Marron
2018 J jnl
Source Detection Algorithms for Dynamic Contaminants Based on the Analysis of a Hydrodynamic Limit.
SIAM J. Appl. Math.
Sergio A. Almada Monter, Amarjit Budhiraja, Jan Hannig
2018 J jnl
Subspace Clustering through Sub-Clusters.
CoRR
Weiwei Li, Jan Hannig, Sayan Mukherjee
2016 J jnl
Least squares generalized inferences in unbalanced two-component normal mixed linear model.
Comput. Stat.
Xuhua Liu, Xingzhong Xu, Jan Hannig
2015 J jnl
Source detection algorithms for dynamic contaminants based on the analysis of a hydrodynamic limit.
CoRR
Sergio A. Almada Monter, Amarjit Budhiraja, Jan Hannig
2014 J jnl
Asymptotics of hierarchical clustering for growing dimension.
J. Multivar. Anal.
Petro Borysov, Jan Hannig, J. S. Marron
2014 J jnl
Computational issues of generalized fiducial inference.
Comput. Stat. Data Anal.
Jan Hannig, Randy C. S. Lai, Thomas C. M. Lee
2013 J jnl
Approximating Extremely Large Networks via Continuum Limits.
IEEE Access
Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep
2011 J jnl
Continuum Limits of Markov Chains with Application to Network Modeling
CoRR
Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep
2011 — conf
Continuum modeling and control of large nonuniform networks.
Allerton
Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep
2011 — ch.
Fiducial Inference.
International Encyclopedia of Statistical Science
Jan Hannig, Hari Iyer, Thomas C. M. Lee
2011 J jnl
Fiducial inference on the largest mean of a multivariate normal distribution.
J. Multivar. Anal.
Damian V. Wandler, Jan Hannig
2010 — conf
On continuum limits of Markov chains and network modeling.
CDC
Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep
2008 J jnl
Zero-error target tracking with limited communication.
IEEE J. Sel. Areas Commun.
Hua Li, Patricia R. Barbosa, Edwin K. P. Chong, Jan Hannig, Sanjeev R. Kulkarni
2006 J jnl
Relative Frequencies of Generalized Simulated Annealing.
Math. Oper. Res.
Jan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni
2005 — conf
Relative Frequencies of Non-homogeneous Markov Chains in Simulated Annealing and Related Algorithms.
CDC/ECC
Jan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni
2004 J jnl
Kernel smoothing of periodograms under Kullback-Leibler discrepancy.
Signal Process.
Jan Hannig, Thomas C. M. Lee