Reconstruction of linear and non-linear continuous time system models using the kernal invariance algorithm

The Italian continuous time model: results of the nonlinear estimation

Gandolfo, Giancarlo

January 1994

SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...

Continuous-Time System Identification for Linear and Nonlinear Systems using Wavelet Decompositions

Coca, D.
Billings, S.A.

January 1996

A new approach for estimating linear and nonlinear continuous-time models directly from noisy observ...

Kalman filtering and the estimation of systems of consumer demand equations with time-varying coefficients

Leybourne, S.J

January 1988

SIGLEAvailable from British Library Document Supply Centre- DSC:D86981 / BLDSC - British Library Doc...

Reconstruction of Linear and Non-Linear Continuous Time System Models Using the Kernel Invariance Algorithm

Billings, S.A.
Li, L.M.

March 1999

A new Kernel Invariance Algorithm (KIA) is introduced to determine both the significant model terms ...

A prediction-error estimation algorithm for the reconstruction of linear and nonlinear continuous time models from frequency response data

Tsang, K.
Billings, S
Sheffield Univ. (United Kingdom). Dept. of Control Engineering

January 1991

SIGLEAvailable from British Library Document Supply Centre- DSC:7769.0858(SU-DCS-RR--421) / BLDSC - ...

Modelling and analysis of nonlinear time series

Chen, S.
Billings, S
Sheffield Univ. (United Kingdom). Dept. of Control Engineering

January 1989

Research report no. 355SIGLEAvailable from British Library Document Supply Centre- DSC:6015.42F(N--9...

Efficient-estimation of non-stationary continuous-time dynamic models

Bergstrom, A
Economic and Social Research Council (ESRC), London (United Kingdom)

January 1985

SIGLEAvailable from British Library Document Supply Centre- DSC:8318.17142F(ESRC-H--00/24/2002)fiche...

Nonparametric analysis of nonlinear time series

Robinson, P.M
Social Science Research Council, London (United Kingdom)

January 1983

SIGLEAvailable from British Library Lending Division - LD:8318.17142(SSRC-H--00/23/0007) / BLDSC - B...

A graphical modelling approach to time series

Reale, M.

January 1998

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN026649 / BLDSC - British Library D...

Interpolating exogenous variables in open continuous time dynamic models

McCrorie, J.R.
London School of Economics and Political Science (United Kingdom). Suntory-Toyota International Centres for Economics and Related Disciplines

January 1997

SIGLEAvailable from British Library Document Supply Centre-DSC:3597.442(97/344) / BLDSC - British Li...

Phase space reconstruction using input-output time series data

Walker, D.M.
Tufillaro, N.
Hewlett-Packard Laboratories, Bristol (United Kingdom)

January 1999

SIGLEAvailable from British Library Document Supply Centre-DSC:4335.26205(1999-24) / BLDSC - British...

Signal reconstruction from partial or modified linear time frequency representations

Lopes, D.M.B.

January 2000

Available from British Library Document Supply Centre-DSC:DXN044260 / BLDSC - British Library Docume...

Aspects of non-linear time series analysis

Moeanaddin, R

January 1989

SIGLEAvailable from British Library Document Supply Centre- DSC:DX88251 / BLDSC - British Library Do...

Nonparametric Methods in Continuous Time Model Specification

Casas, I.
Gao, J.

January 2007

Isabel Casas ; Jiti Gaohttp://www.informaworld.com/smpp/content~content=a77093969

Semiparametric methods for time series

Robinson, P
London School of Economics (United Kingdom)

January 1991

Available from British Library Document Supply Centre-DSC:3597.1789(R.39) / BLDSC - British Library ...

The Italian continuous time model: results of the nonlinear estimation

Gandolfo, Giancarlo

January 1994

SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...

Continuous-Time System Identification for Linear and Nonlinear Systems using Wavelet Decompositions

Coca, D.
Billings, S.A.

January 1996

A new approach for estimating linear and nonlinear continuous-time models directly from noisy observ...

Kalman filtering and the estimation of systems of consumer demand equations with time-varying coefficients

Leybourne, S.J

January 1988

SIGLEAvailable from British Library Document Supply Centre- DSC:D86981 / BLDSC - British Library Doc...

Reconstruction of Linear and Non-Linear Continuous Time System Models Using the Kernel Invariance Algorithm

Billings, S.A.
Li, L.M.

March 1999

A new Kernel Invariance Algorithm (KIA) is introduced to determine both the significant model terms ...

A prediction-error estimation algorithm for the reconstruction of linear and nonlinear continuous time models from frequency response data

Tsang, K.
Billings, S
Sheffield Univ. (United Kingdom). Dept. of Control Engineering

January 1991

SIGLEAvailable from British Library Document Supply Centre- DSC:7769.0858(SU-DCS-RR--421) / BLDSC - ...

Modelling and analysis of nonlinear time series

Chen, S.
Billings, S
Sheffield Univ. (United Kingdom). Dept. of Control Engineering

January 1989

Research report no. 355SIGLEAvailable from British Library Document Supply Centre- DSC:6015.42F(N--9...

Efficient-estimation of non-stationary continuous-time dynamic models

Bergstrom, A
Economic and Social Research Council (ESRC), London (United Kingdom)

January 1985

SIGLEAvailable from British Library Document Supply Centre- DSC:8318.17142F(ESRC-H--00/24/2002)fiche...

Nonparametric analysis of nonlinear time series

Robinson, P.M
Social Science Research Council, London (United Kingdom)

January 1983

SIGLEAvailable from British Library Lending Division - LD:8318.17142(SSRC-H--00/23/0007) / BLDSC - B...

A graphical modelling approach to time series

Reale, M.

January 1998

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN026649 / BLDSC - British Library D...

Interpolating exogenous variables in open continuous time dynamic models

McCrorie, J.R.
London School of Economics and Political Science (United Kingdom). Suntory-Toyota International Centres for Economics and Related Disciplines

January 1997

SIGLEAvailable from British Library Document Supply Centre-DSC:3597.442(97/344) / BLDSC - British Li...

Phase space reconstruction using input-output time series data

Walker, D.M.
Tufillaro, N.
Hewlett-Packard Laboratories, Bristol (United Kingdom)

January 1999

SIGLEAvailable from British Library Document Supply Centre-DSC:4335.26205(1999-24) / BLDSC - British...

Signal reconstruction from partial or modified linear time frequency representations

Lopes, D.M.B.

January 2000

Available from British Library Document Supply Centre-DSC:DXN044260 / BLDSC - British Library Docume...

Aspects of non-linear time series analysis

Moeanaddin, R

January 1989

SIGLEAvailable from British Library Document Supply Centre- DSC:DX88251 / BLDSC - British Library Do...

Nonparametric Methods in Continuous Time Model Specification

Casas, I.
Gao, J.

January 2007

Isabel Casas ; Jiti Gaohttp://www.informaworld.com/smpp/content~content=a77093969

Semiparametric methods for time series

Robinson, P
London School of Economics (United Kingdom)

January 1991

Available from British Library Document Supply Centre-DSC:3597.1789(R.39) / BLDSC - British Library ...

The Italian continuous time model: results of the nonlinear estimation

Gandolfo, Giancarlo

January 1994

SIGLEAvailable from Bibliothek des Instituts fuer Weltwirtschaft, ZBW, Duesternbrook Weg 120, D-2410...

Continuous-Time System Identification for Linear and Nonlinear Systems using Wavelet Decompositions

Coca, D.
Billings, S.A.

January 1996

A new approach for estimating linear and nonlinear continuous-time models directly from noisy observ...

Kalman filtering and the estimation of systems of consumer demand equations with time-varying coefficients

Leybourne, S.J

January 1988

SIGLEAvailable from British Library Document Supply Centre- DSC:D86981 / BLDSC - British Library Doc...

Reconstruction of linear and non-linear continuous time system models using the kernal invariance algorithm

Abstract

Extracted data

Reconstruction of linear and non-linear continuous time system models using the kernal invariance algorithm

Abstract

Extracted data

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