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Marjorie G. Hahn

Affiliations: 
Tufts University, Boston 
Area:
Mathematics, Statistics
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"Marjorie Hahn"
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Parents

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Richard M. Dudley grad student 1975 MIT
 (Central Limit Theorems for D [0,1] - Valued Random Variables)

Children

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Xinxin Jiang grad student 2001 Tufts
Martynas Manstavicius grad student 2003 Tufts
Meredith N. Burr grad student 2010 Tufts
Jamison B. Wolf grad student 2010 Tufts
Kei Kobayashi grad student 2011 Tufts
Jelena Ryvkina grad student 2013 Tufts

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Publications

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Jiang X, Hahn M, Umarov S. (2012) On generalized Leibniz triangles and q-Gaussians Physics Letters, Section a: General, Atomic and Solid State Physics. 376: 2447-2450
Jiang X, Hahn MG. (2012) Erratum to: Central Limit Theorems for Exchangeable Random Variables When Limits are Scale Mixtures of Normals Journal of Theoretical Probability. 25: 310-311
Zhang W, Hahn MG. (2012) Haar-Based Multiresolution Stochastic Processes Journal of Theoretical Probability. 25: 890-909
Hahn M, Kobayashi K, Umarov S. (2012) SDEs Driven by a Time-Changed Lévy Process and Their Associated Time-Fractional Order Pseudo-Differential Equations Journal of Theoretical Probability. 25: 262-279
Hahn M, Umarov S. (2011) Fractional fokker-planck-kolmogorov type equations and their associated stochastic differential equations Fractional Calculus and Applied Analysis. 14: 56-79
Hahn MG, Kobayashi K, Ryvkina J, et al. (2011) On time-changed gaussian processes and their associated fokker- planck- kolmogorov equations Electronic Communications in Probability. 16: 150-164
Hahn MG, Kobayashi K, Umarov S. (2011) Fokker-Planck-Kolmogorov equations associated with time-changed fractional Brownian motion Proceedings of the American Mathematical Society. 139: 691-705
Hahn MG, Jiang X, Umarov S. (2010) On q-Gaussians and exchangeability Journal of Physics a: Mathematical and Theoretical. 43
Jiang X, Hahn MG. (2009) Testing serial non-independence by self-centring and self-normalizing Statistics. 43: 315-328
Jiang X, Hahn M. (2008) A self-normalized central limit theorem for ρ -mixing stationary sequences Statistics & Probability Letters. 78: 1541-1547
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