Aidong Adam Ding
Aidong Adam Ding
Associate Professor of Mathematics, Northeastern University
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Prediction intervals for artificial neural networks
JTG Hwang, AA Ding
Journal of the American Statistical Association 92 (438), 748-757, 1997
Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials
H Wu, AA Ding
Biometrics 55 (2), 410-418, 1999
Estimation of HIV dynamic parameters
H Wu, AA Ding, V De Gruttola
Statistics in medicine 17 (21), 2463-2485, 1998
Relationships between antiviral treatment effects and biphasic viral decay rates in modeling HIV dynamics
AA Ding, H Wu
Mathematical biosciences 160 (1), 63-82, 1999
A Statistical Model for DPA with Novel Algorithmic Confusion Analysis
Y Fei, Q Luo, A Ding
Cryptographic Hardware and Embedded Systems–CHES 2012, 233-250, 2012
On assessing the association for bivariate current status data
W Wang, AA Ding
Biometrika 87 (4), 879-893, 2000
Assessing antiviral potency of anti-HIV therapies in vivo by comparing viral decay rates in viral dynamic models
AA Ding, H Wu
Biostatistics 2 (1), 13-29, 2001
Regression analysis based on semicompeting risks data
JJ Hsieh, W Wang, A Adam Ding
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2008
A Statistics-based Fundamental Model for Side-channel Attack Analysis.
Y Fei, AA Ding, J Lao, L Zhang
IACR Cryptol. ePrint Arch. 2014, 152, 2014
Simpler, faster, and more robust t-test based leakage detection
AA Ding, C Chen, T Eisenbarth
International workshop on constructive side-channel analysis and secure …, 2016
A statistical model for higher order DPA on masked devices
AA Ding, L Zhang, Y Fei, P Luo
International Workshop on Cryptographic Hardware and Embedded Systems, 147-169, 2014
A comparison study of models and fitting procedures for biphasic viral dynamics in HIV‐1 infected patients treated with antiviral therapies
AA Ding, H Wu
Biometrics 56 (1), 293-300, 2000
Prediction intervals, factor analysis models, and high-dimensional empirical linear prediction
AA Ding, JTG Hwang
Journal of the American Statistical Association 94 (446), 446-455, 1999
Testing independence for bivariate current status data
AA Ding, W Wang
Journal of the American Statistical Association 99 (465), 145-155, 2004
Backpropagation of pseudo-errors: neural networks that are adaptive to heterogeneous noise
AA Ding, X He
IEEE Transactions on Neural Networks 14 (2), 253-262, 2003
Towards sound and optimal leakage detection procedure
AA Ding, L Zhang, F Durvaux, FX Standaert, Y Fei
International Conference on Smart Card Research and Advanced Applications …, 2017
Copula correlation: An equitable dependence measure and extension of pearson's correlation
AA Ding, Y Li
arXiv preprint arXiv:1312.7214, 2013
Neutronics analysis for the test blanket modules proposed for EAST and ITER
S Zheng, M Chen, J Li, Q Zeng, L Lu, Y Li, A Ding, H Hu
Nuclear fusion 47 (8), 1053, 2007
A class of discrete transformation survival models with application to default probability prediction
AA Ding, S Tian, Y Yu, H Guo
Journal of the American Statistical Association 107 (499), 990-1003, 2012
Marginal regression analysis for semi‐competing risks data under dependent censoring
A ADAM DING, G Shi, W Wang, J Hsieh
Scandinavian Journal of Statistics 36 (3), 481-500, 2009
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