References
- Kulasiri, D, and Verwoerd, WS, 2002. Stochastic Dynamics: Modeling Solute Transport in Porous Media, North-Holland Series in Applied Mathematics and Mechanics. Vol. 44. Amsterdam: Elsevier; 2002, pp. xii, 239.
- Oksendal, BK, 2003. Stochastic Differential Equations: An Introduction with Applications. Berlin, New York: Springer; 2003, pp. xxiii, 360.
- Ottinger, HC, 1996. Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing Simulation Algorithms. Berlin, New York: Springer; 1996, pp. xxiv, 362.
- Kloeden, PE, Platen, E, and Schurz, H, 1997. Numerical Solution of SDE through Computer Experiments . Berlin, New York: Springer; 1997, pp. xiv, 292.
- Watts, DG, 1994. Estimating parameters in non-linear rate equations, The Canadian Journal of Chemical Engineering 72 (1994), pp. 701–710.
- Nielsen, JN, Madsen, H, and Young, PC, 2000. Parameter estimation in stochastic differential equations: an overview, Annual Reviews in Control 24 (2000), pp. 83–94.
- Timmer, J, 2000. Parameter estimation in nonlinear stochastic differential equations, Chaos, Solitons & Fractals 11 (15) (2000), pp. 2571–2578.
- Bishop, CM, 1995. Neural Networks for Pattern Recognition. New York: Clarendon Press: Oxford University Press; 1995, pp. xvii, 482.
- Hassoun, MH, 1995. Fundamentals of Artificial Neural Networks. Cambridge: MIT Press; 1995, pp. xxvi, 511.
- Hall, AR, 2005. Advanced Texts in Econometrics, Generalized Method of Moments. Oxford, New York: Oxford University Press; 2005, pp. xii, 400.
- Ronald Gallant, A, and Tauchen, G, 1999. The relative efficiency of method of moments estimators, Journal of Econometrics 92 (1) (1999), pp. 149–172.
- Azzalini, A, 1996. "Monographs on Statistics and Applied Probability". In: Statistical Inference: Based on the Likelihood . Vol. Vol. 68. Boca Raton, New York: Chapman & Hall/CRC; 1996, pp.x, 341.
- Bibby, BM, and Sorensen, M, 1995. Martingale estimation functions for discretely observed diffusion processes, Bernoulli 1 (1995), pp. 17–39.
- Rumelhart, DE, and McClelland, JL, 1986. "and University of California San Diego. PDP Research Group , Parallel Distributed Processing: Explorations in the Microstructure of Cognition". In: Computational Models of Cognition and Perception. Vol. Vol. 2. Cambridge, Mass: MIT Press; 1986.
- Ripley, BD, 1996. Pattern Recognition and Neural Networks. Cambridge, New York: Cambridge University Press; 1996, pp. xi, 403.
- Group, WS, 2005. Frederick, MD: Ward System Group, Inc; 2005, http://www.wardsystems.com.
- Caruana, R, Lawrence, S, and Giles, CL, 2001. Overfitting in neural networks: backpropagation, conjugate gradient, and early stopping, Advances in Neural Information Processing Systems 13 (2001), pp. 402–408.
- Triola, MF, 2004. Elementary Statistics. Boston: Pearson/Addison–Wesley; 2004, pp. xxix, 838.