메뉴 건너뛰기




Volumn 47, Issue 2 SPEC. ISS., 2004, Pages 255-275

A genetic estimation algorithm for parameters of stochastic ordinary differential equations

Author keywords

Genetic algorithms; Jump diffusion equations; Parameter estimation; Stochastic ordinary differential equations

Indexed keywords

BROWNIAN MOVEMENT; DIFFERENTIAL EQUATIONS; NUMERICAL METHODS; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES;

EID: 4444305178     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2003.11.025     Document Type: Article
Times cited : (12)

References (26)
  • 1
    • 4444298142 scopus 로고    scopus 로고
    • Comment on G. Durham, A. Gallant, numerical techniques for maximum likelihood estimation of continuous-time diffusion processes
    • Ait-Sahalia, Y., 2002. Comment on G. Durham, A. Gallant, Numerical techniques for maximum likelihood estimation of continuous-time diffusion processes. J. Bus. Econom. Statist. 20, 297-316, J. Bus. Econom. Statist. 20, 317-321.
    • (2002) J. Bus. Econom. Statist. , vol.20 , pp. 297-316
    • Ait-Sahalia, Y.1
  • 2
    • 0036918484 scopus 로고    scopus 로고
    • Ait-Sahalia, Y., 2002. Comment on G. Durham, A. Gallant, Numerical techniques for maximum likelihood estimation of continuous-time diffusion processes. J. Bus. Econom. Statist. 20, 297-316, J. Bus. Econom. Statist. 20, 317-321.
    • J. Bus. Econom. Statist. , vol.20 , pp. 317-321
  • 3
    • 0036216388 scopus 로고    scopus 로고
    • Maximum likelihood estimation of discretely sampled diffusions: A closed form approximation approach
    • Ait-Sahalia, Y., 2002. Maximum likelihood estimation of discretely sampled diffusions: a closed form approximation approach. Econometrica 70, 223-262.
    • (2002) Econometrica , vol.70 , pp. 223-262
    • Ait-Sahalia, Y.1
  • 6
    • 0001700428 scopus 로고
    • Estimation of the coefficients of a diffusion from discrete observations
    • Dacunha-Castelle, D., Florens-Zmirou, D., 1986. Estimation of the coefficients of a diffusion from discrete observations. Stochastics 19, 263-284.
    • (1986) Stochastics , vol.19 , pp. 263-284
    • Dacunha-Castelle, D.1    Florens-Zmirou, D.2
  • 7
    • 34250090619 scopus 로고
    • Learning with genetic algorithms: An overview
    • De Jong, K., 1988. Learning with genetic algorithms: an overview. Machine Learning.
    • (1988) Machine Learning
    • De Jong, K.1
  • 8
    • 0036339461 scopus 로고    scopus 로고
    • Numerical techniques for maximum likelihood estimation of continuous-time diffusion processes
    • Durham, G., Gallant, A., 2002. Numerical techniques for maximum likelihood estimation of continuous-time diffusion processes. J. Bus. Econom. Statist. 20, 297-316.
    • (2002) J. Bus. Econom. Statist. , vol.20 , pp. 297-316
    • Durham, G.1    Gallant, A.2
  • 9
    • 0035586814 scopus 로고    scopus 로고
    • MCMC analysis of diffusion models with application to finance
    • Eraker, B., 2001. MCMC analysis of diffusion models with application to finance. J. Business Econom. Statist. 19, 177-191.
    • (2001) J. Business Econom. Statist. , vol.19 , pp. 177-191
    • Eraker, B.1
  • 10
    • 4444361712 scopus 로고    scopus 로고
    • The relative efficiency of method of moments estimators
    • Gallant, A., Tauchen, G., 1997. The relative efficiency of method of moments estimators. Working Paper.
    • (1997) Working Paper
    • Gallant, A.1    Tauchen, G.2
  • 11
    • 33746404294 scopus 로고    scopus 로고
    • Estimating stochastic diffusion equations efficiently by minimum
    • Gallant, A., Long, J., 1997. Estimating stochastic diffusion equations efficiently by minimum, Chi-squared. Biometrika 84, 125-141.
    • (1997) Chi-squared. Biometrika , vol.84 , pp. 125-141
    • Gallant, A.1    Long, J.2
  • 13
    • 0037471364 scopus 로고    scopus 로고
    • A global optimization heuristic for estimating agent based models
    • Gilli, M., Winker, P., 2003. A global optimization heuristic for estimating agent based models. Comput. Statist. Data Anal. 42, 299-312.
    • (2003) Comput. Statist. Data Anal. , vol.42 , pp. 299-312
    • Gilli, M.1    Winker, P.2
  • 15
    • 4444230515 scopus 로고    scopus 로고
    • Bayesian estimation of financial models
    • Gray, P., 2002. Bayesian estimation of financial models. Accounting Finance 42, 97-116.
    • (2002) Accounting Finance , vol.42 , pp. 97-116
    • Gray, P.1
  • 16
    • 0003637791 scopus 로고
    • A genetic algorithm for function optimization: A Matlab implementation
    • NCSU-IE Trans.
    • Houck, C., Joines, J., Kay, M., 1995. A genetic algorithm for function optimization: A Matlab implementation. Technical Report, NCSU-IE Trans.
    • (1995) Technical Report
    • Houck, C.1    Joines, J.2    Kay, M.3
  • 18
    • 0031096070 scopus 로고    scopus 로고
    • Estimating the parameters of stochastic differential equations by Monte Carlo methods
    • Hurn, A., Lindsay, K., 1997. Estimating the parameters of stochastic differential equations by Monte Carlo methods. Math. Comput. Simulat. 43, 495-501.
    • (1997) Math. Comput. Simulat. , vol.43 , pp. 495-501
    • Hurn, A.1    Lindsay, K.2
  • 19
    • 0040360923 scopus 로고    scopus 로고
    • Estimation of an ergodic diffusion from discrete observations
    • Kessler, M., 1997. Estimation of an ergodic diffusion from discrete observations. Scand. J. Statist. 24, 211-229.
    • (1997) Scand. J. Statist. , vol.24 , pp. 211-229
    • Kessler, M.1
  • 21
    • 84974325324 scopus 로고
    • Maximum likelihood estimation of generalized Itô processes with discretely sampled data
    • Lo, A., 1988. Maximum likelihood estimation of generalized Itô processes with discretely sampled data. Econom. Theory 4, 231-247.
    • (1988) Econom. Theory , vol.4 , pp. 231-247
    • Lo, A.1
  • 22
    • 4444322762 scopus 로고    scopus 로고
    • Estimating the parameters of stochastic differential equations using a criterion function based on the Kolmogorov-Smirnov statistic
    • Norwegian School of Economics and Business Administration
    • McDonald, D., Sandal, L., 1998. Estimating the parameters of stochastic differential equations using a criterion function based on the Kolmogorov-Smirnov statistic. Technical Report, Norwegian School of Economics and Business Administration.
    • (1998) Technical Report
    • McDonald, D.1    Sandal, L.2
  • 23
    • 0002841968 scopus 로고
    • A new approach to maximum likelihood estimation for stochastic differential equations based on discrete observations
    • Pedersen, A.R., 1995. A new approach to maximum likelihood estimation for stochastic differential equations based on discrete observations. Scandinavian J. Statist. 22, 55-71.
    • (1995) Scandinavian J. Statist. , vol.22 , pp. 55-71
    • Pedersen, A.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.