Jan Hannig

According to our database, Jan Hannig authored at least 23 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Jackstraw inference for AJIVE data integration.

Xi Yang, Katherine A. Hoadley, Jan Hannig, J. S. Marron

Comput. Stat. Data Anal., April, 2023

2022

Uncertainty Quantification in Graphon Estimation Using Generalized Fiducial Inference.

Yi Su, Jan Hannig, Thomas C. M. Lee

IEEE Trans. Signal Inf. Process. over Networks, 2022

Uncertainty quantification for honest regression trees.

Suofei Wu, Jan Hannig, Thomas C. M. Lee

Comput. Stat. Data Anal., 2022

A New String Edit Distance and Applications.

Taylor Petty, Jan Hannig, Tunde I. Huszar, Hari Iyer

Algorithms, 2022

2021

Subspace Clustering through Sub-Clusters.

Weiwei Li, Jan Hannig, Sayan Mukherjee

J. Mach. Learn. Res., 2021

Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference.

Randy C. S. Lai, Jan Hannig, Thomas C. M. Lee

J. Comput. Graph. Stat., 2021

BFF: Bayesian, Fiducial, and Frequentist Analysis of Cognitive Engagement among Cognitively Impaired Older Adults.

Shevaun D. Neupert, Claire M. Growney, Xianghe Zhu, Julia K. Sorensen, Emily L. Smith, Jan Hannig

Entropy, 2021

2019

A Note on Optimal Sampling Strategy for Structural Variant Detection Using Optical Mapping.

Weiwei Li, Jan Hannig, Corbin Jones

CoRR, 2019

2018

Source Detection Algorithms for Dynamic Contaminants Based on the Analysis of a Hydrodynamic Limit.

Sergio A. Almada Monter, Amarjit Budhiraja, Jan Hannig

SIAM J. Appl. Math., 2018

Angle-based joint and individual variation explained.

Qing Feng, Meilei Jiang, Jan Hannig, J. S. Marron

J. Multivar. Anal., 2018

2016

Least squares generalized inferences in unbalanced two-component normal mixed linear model.

Xuhua Liu, Xingzhong Xu, Jan Hannig

Comput. Stat., 2016

2014

Asymptotics of hierarchical clustering for growing dimension.

Petro Borysov, Jan Hannig, J. S. Marron

J. Multivar. Anal., 2014

Computational issues of generalized fiducial inference.

Jan Hannig, Randy C. S. Lai, Thomas C. M. Lee

Comput. Stat. Data Anal., 2014

2013

Approximating Extremely Large Networks via Continuum Limits.

Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep

IEEE Access, 2013

2011

Fiducial Inference.

Jan Hannig, Hari Iyer, Thomas C. M. Lee

Proceedings of the International Encyclopedia of Statistical Science, 2011

Fiducial inference on the largest mean of a multivariate normal distribution.

Damian V. Wandler, Jan Hannig

J. Multivar. Anal., 2011

Continuum Limits of Markov Chains with Application to Network Modeling

Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep

CoRR, 2011

Continuum modeling and control of large nonuniform networks.

Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

On continuum limits of Markov chains and network modeling.

Yang Zhang, Edwin K. P. Chong, Jan Hannig, Donald J. Estep

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2008

Zero-error target tracking with limited communication.

Hua Li, Patricia R. Barbosa, Edwin K. P. Chong, Jan Hannig, Sanjeev R. Kulkarni

IEEE J. Sel. Areas Commun., 2008

2006

Relative Frequencies of Generalized Simulated Annealing.

Jan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni

Math. Oper. Res., 2006

2005

Relative Frequencies of Non-homogeneous Markov Chains in Simulated Annealing and Related Algorithms.

Jan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004

Kernel smoothing of periodograms under Kullback-Leibler discrepancy.

Jan Hannig, Thomas C. M. Lee

Signal Process., 2004