Predictability Analysis on HIV/AIDS System using Hurst Exponents
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[1] Xiaohua Xia,et al. Identifiability of nonlinear systems with application to HIV/AIDS models , 2003, IEEE Trans. Autom. Control..
[2] F M de Souza. Modeling the dynamics of HIV-1 and CD4 and CD8 lymphocytes. , 1999, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[3] Hulin Wu,et al. Modeling HIV dynamics and antiviral response with consideration of time-varying drug exposures, adherence and phenotypic sensitivity. , 2003, Mathematical biosciences.
[4] A. Perelson,et al. HIV-1 Dynamics in Vivo: Virion Clearance Rate, Infected Cell Life-Span, and Viral Generation Time , 1996, Science.
[5] Andrew Nicola Edmonds. Time series prediction using supervised learning and tools from chaos theory , 1996 .
[6] Yongsheng Ding,et al. Nonlinear Dynamics and Chaos in a Fractional-Order HIV Model , 2009 .
[7] Cristina Serban,et al. Evaluation of Hurst exponent for precipitation time series , 2010 .
[8] Tzipe Govezensky,et al. Fractional Brownian motion in DNA sequences of bacterial chromosomes: a renormalization group approach , 2010 .
[9] W. Willinger,et al. ESTIMATORS FOR LONG-RANGE DEPENDENCE: AN EMPIRICAL STUDY , 1995 .
[10] A. Goldbeter. Computational approaches to cellular rhythms , 2002, Nature.
[11] Shuzhi Sam Ge,et al. Nonlinear control of a dynamic model of HIV-1 , 2005, IEEE Transactions on Biomedical Engineering.
[12] Wlodzimierz Klonowski,et al. From conformons to human brains: an informal overview of nonlinear dynamics and its applications in biomedicine , 2007, Nonlinear biomedical physics.
[13] Das. Applicability of Lyapunov Exponent in EEG data analysis , 2022 .
[14] Ruben A. Filter,et al. Dynamic HIV/AIDS parameter estimation with application to a vaccine readiness study in Southern Africa , 2005, IEEE Transactions on Biomedical Engineering.
[15] Hulin Wu,et al. Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System , 2006, Biometrics.
[16] Hulin Wu,et al. Differential Equation Modeling of HIV Viral Fitness Experiments: Model Identification, Model Selection, and Multimodel Inference , 2009, Biometrics.
[17] Marcelo A. Savi,et al. Chaos and order in biomedical rhythms , 2005 .
[18] E. H. Lloyd,et al. Long-Term Storage: An Experimental Study. , 1966 .
[19] Claver P. Bhunu,et al. EXPLORING THE EFFECTS OF PARAMETER HETEROGENEITY ON THE INTRINSIC DYNAMICS OF HIV/AIDS IN HETEROSEXUAL SETTINGS , 2011 .
[20] V De Gruttola,et al. Estimation of HIV dynamic parameters. , 1998, Statistics in medicine.
[21] Saudi Arabia,et al. Stability Analysis of an HIV/AIDS Epidemic Model with Screening , 2011 .
[22] Alan S. Perelson,et al. Mathematical Analysis of HIV-1 Dynamics in Vivo , 1999, SIAM Rev..
[23] A. Perelson,et al. Optimizing within-host viral fitness: infected cell lifespan and virion production rate. , 2004, Journal of theoretical biology.
[24] Jan Beran,et al. Statistics for long-memory processes , 1994 .
[25] Bingo Wing-Kuen Ling,et al. International Journal of Bifurcation and Chaos Initiation of Hiv Therapy , 2022 .
[26] Martin A Nowak,et al. Virus evolution within patients increases pathogenicity. , 2005, Journal of theoretical biology.
[27] L. Oxley,et al. Estimators for Long Range Dependence: An Empirical Study , 2009, 0901.0762.
[28] Agraj Tripathi,et al. Modelling the effect of risky sexual behaviour on the spread of HIV/AIDS , 2009 .
[29] D. M. Bortz,et al. Sensitivity analysis of a nonlinear lumped parameter model of HIV infection dynamics , 2004, Bulletin of mathematical biology.
[30] France Mentré,et al. Maximum likelihood estimation of long-term HIV dynamic models and antiviral response. , 2011, Biometrics.