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Jan Hannig

Affiliations: 
2000-2008 Statistics Colorado State University, Fort Collins, CO 
 2008- Statistics and Operation Research University of North Carolina, Chapel Hill, Chapel Hill, NC 
Area:
Statistics, Fiducial Inference, Stochastic Processes
Website:
https://stor.unc.edu/faculty-member/hannig-jan/
Google:
"Jan Hannig"
Bio:

https://books.google.com/books?id=V9Fpl46V68kC
https://hannig.cloudapps.unc.edu/publications/HannigDissert.pdf

Parents

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Anatoli V. Skorokhod grad student 2000 Michigan State
 (On purely discontinuous martingales)
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Publications

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Liu Y, Hannig J, Pal Majumder A. (2019) Second-Order Probability Matching Priors for the Person Parameter in Unidimensional IRT Models. Psychometrika
Cui Y, Hannig J. (2019) Nonparametric generalized fiducial inference for survival functions under censoring Biometrika. 106: 501-518
Williams JP, Storlie CB, Therneau TM, et al. (2019) A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression Journal of the American Statistical Association. 115: 16-31
Hannig J, Riman S, Iyer H, et al. (2019) Are reported likelihood ratios well calibrated? Forensic Science International: Genetics Supplement Series. 7: 572-574
Feng Q, Jiang M, Hannig J, et al. (2018) Angle-based joint and individual variation explained Journal of Multivariate Analysis. 166: 241-265
Liu Y, Hannig J. (2017) Generalized Fiducial Inference for Logistic Graded Response Models. Psychometrika
Liu Y, Hannig J. (2016) Generalized Fiducial Inference for Binary Logistic Item Response Models. Psychometrika
Liao L, Park C, Hannig J, et al. (2016) Autocovariance Function Estimation via Penalized Regression Journal of Computational and Graphical Statistics. 25: 1041-1056
Hannig J, Iyer H, Lai RCS, et al. (2016) Generalized Fiducial Inference: A Review and New Results Journal of the American Statistical Association. 111: 1346-1361
Lai RCS, Hannig J, Lee TCM. (2015) Generalized Fiducial Inference for Ultrahigh-Dimensional Regression Journal of the American Statistical Association. 110: 760-772
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