Kernel smoothing of periodograms under Kullback-Leibler discrepancy. - Jan Hannig; Thomas C. M. Lee (Signal Process., 2004)

Relative Frequencies of Non-homogeneous Markov Chains in Simulated Annealing and Related Algorithms. - Jan Hannig; Edwin K. P. Chong; Sanjeev R. Kulkarni (CDC/ECC, 2005)

Relative Frequencies of Generalized Simulated Annealing. - Jan Hannig; Edwin K. P. Chong; Sanjeev R. Kulkarni (Math. Oper. Res., 2006)

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)

On continuum limits of Markov chains and network modeling. - Yang Zhang; Edwin K. P. Chong; Jan Hannig; Donald J. Estep (CDC, 2010)

Continuum modeling and control of large nonuniform networks. - Yang Zhang; Edwin K. P. Chong; Jan Hannig; Donald J. Estep (Allerton, 2011)

Continuum Limits of Markov Chains with Application to Network Modeling - Yang Zhang; Edwin K. P. Chong; Jan Hannig; Donald J. Estep (CoRR, 2011)

Fiducial inference on the largest mean of a multivariate normal distribution. - Damian V. Wandler; Jan Hannig (J. Multivar. Anal., 2011)

Fiducial Inference. - Jan Hannig; Hari Iyer; Thomas C. M. Lee (International Encyclopedia of Statistical Science, 2011)

Approximating Extremely Large Networks via Continuum Limits. - Yang Zhang; Edwin K. P. Chong; Jan Hannig; Donald J. Estep (IEEE Access, 2013)

Computational issues of generalized fiducial inference. - Jan Hannig; Randy C. S. Lai; Thomas C. M. Lee (Comput. Stat. Data Anal., 2014)

Asymptotics of hierarchical clustering for growing dimension. - Petro Borysov; Jan Hannig; J. S. Marron (J. Multivar. Anal., 2014)

Least squares generalized inferences in unbalanced two-component normal mixed linear model. - Xuhua Liu; Xingzhong Xu; Jan Hannig (Comput. Stat., 2016)

Angle-based joint and individual variation explained. - Qing Feng; Meilei Jiang; Jan Hannig; J. S. Marron (J. Multivar. Anal., 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)

A Note on Optimal Sampling Strategy for Structural Variant Detection Using Optical Mapping. - Weiwei Li; Jan Hannig; Corbin Jones (CoRR, 2019)

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)

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)

Subspace Clustering through Sub-Clusters. - Weiwei Li; Jan Hannig; Sayan Mukherjee 001 (J. Mach. Learn. Res., 2021)

A New String Edit Distance and Applications. - Taylor Petty; Jan Hannig; Tunde I. Huszar; Hari Iyer (Algorithms, 2022)

Uncertainty quantification for honest regression trees. - Suofei Wu; Jan Hannig; Thomas C. M. Lee (Comput. Stat. Data Anal., 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)

Jackstraw inference for AJIVE data integration. - Xi Yang; Katherine A. Hoadley; Jan Hannig; J. S. Marron (Comput. Stat. Data Anal., 2023)

Measure of Strength of Evidence for Visually Observed Differences between Subpopulations. - Xi Yang; Jan Hannig; Katherine A. Hoadley; Iain Carmichael; J. S. Marron (J. Comput. Graph. Stat., 2024)