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The effect of time varying parameter estimation

Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation

Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation

... the parameter uncertainties can be handled by using adaptive control, where the time-varying parameters can be estimated using a new adaptive algorithm in Section ...the effect of the fuel ...

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Sequential Parameter Estimation of Time Varying Non Gaussian Autoregressive Processes

Sequential Parameter Estimation of Time Varying Non Gaussian Autoregressive Processes

... 2002 Parameter estimation of time-varying non-Gaussian autoregressive processes can be a highly nonlinear ...the time variation of the process parameters is ...address parameter ...

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Spurious regression problem in Kalman Filter estimation of time varying parameter models

Spurious regression problem in Kalman Filter estimation of time varying parameter models

... The estimation results of both with and without penalty cases can be observed in the tables 17, 18 and ...the estimation results for this DGP strictly differ from the estimation results of the ...

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Analysis of time varying parameter models

Analysis of time varying parameter models

... feasible estimation procedure which yields an asymptotically efficient estimator of the parameter ...consistent estimation of the matrix F is almost impossible unless F takes a very special ...the ...

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Large time-varying parameter VARs

Large time-varying parameter VARs

... shrinkage parameter, , a forgetting factor, , which controls the degree of time-variation in the VAR coefficients and a decay factor, , which is used in the EWMA estimation of the error covariance ...

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Large time varying parameter VARs

Large time varying parameter VARs

... implementations (i.e. different treatments of forgetting factors or methods of predictive simulation) lead to similar MSFEs. Overall, we are finding that large TVP-VARs tend to forecast better than small or medium ones, ...

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Large Time-Varying Parameter VARs

Large Time-Varying Parameter VARs

... If we consider results for TVP-VARs of a …xed dimension, it can be seen that our di¤erent implementations (i.e. di¤erent treatments of forgetting factors or methods of predictive simu- lation) lead to similar MSFEs. ...

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Large time-varying parameter VARs

Large time-varying parameter VARs

... With regards to the issue of TVP-VAR dimensionality, there is no single dimension that dom- inates. Sometimes the dimension-switching feature of our TVP-VAR-DMS approach leads to the best forecasting performance, but ...

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Asset Price Momentum and Monetary Policy: Time-varying Parameter Estimation of Taylor Rules

Asset Price Momentum and Monetary Policy: Time-varying Parameter Estimation of Taylor Rules

... Österholm (2005) goes on to confirm that it is hard to find support for the Taylor Rule in the inflation targeting small open economies. The author also suggests that augmenting the Taylor Rule with other variables may ...

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Distributed Estimation of Spatially Varying Distributed Parameter System

Distributed Estimation of Spatially Varying Distributed Parameter System

... required parameter over a wide geographic region under ...real time. Utilizing distributed strategies estimates are updated in real time through local ...interactions. Estimation and tracking ...

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Hierarchical Shrinkage in Time-varying Parameter Models

Hierarchical Shrinkage in Time-varying Parameter Models

... We present results using both the h = 1 and h = 12 models. Table 1 presents results for the predictors, Table 2 for the lags and Table 3 for the monthly dummies. Note first that ω 2 tends to be much smaller than τ 2 . ...

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Hierarchical shrinkage in time varying parameter models

Hierarchical shrinkage in time varying parameter models

... Empirical Appendix In this sub-section, we present results for a few additional specifications to show that the results in the body of the paper are robust. Results are presented in the same format as in Tables 4 through ...

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Hierarchical Shrinkage in Time-Varying Parameter Models

Hierarchical Shrinkage in Time-Varying Parameter Models

... Empirical Appendix In this sub-section, we present results for a few additional specifications to show that the results in the body of the paper are robust. Results are presented in the same format as in Tables 4 through ...

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Hierarchical shrinkage in time-varying parameter models

Hierarchical shrinkage in time-varying parameter models

... In this sub-section, we present results for a few additional specifications to show that the results in the body of the paper are robust. Results are presented in the same format as in Tables 4 through 7. That is ...

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Estimation of a Time Varying NAIRU for France.

Estimation of a Time Varying NAIRU for France.

... robust estimation of the equilibrium rate of unemployment. The estimation of a traditional Phillips curve for France ordinary leads to two major problems: the instability of the estimated NAIRU and/or the ...

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Achieving shrinkage in a time-varying parameter model framework

Achieving shrinkage in a time-varying parameter model framework

... MCMC estimation scheme was developed, exploiting the ancillarity-sufficiency interweaving strategy of Yu and Meng ...a time- varying covariance matrix based on a sparse TVP Cholesky SV model for a ...

24

Inducing sparsity and shrinkage in time-varying parameter models

Inducing sparsity and shrinkage in time-varying parameter models

... ABSTRACT Time-varying parameter (TVP) models have the potential to be over-parameterized, particularly when the number of variables in the model is ...

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Recursive parameter estimation for discrete time model
of an electro hydraulic servo system with varying
forgetting factor

Recursive parameter estimation for discrete time model of an electro hydraulic servo system with varying forgetting factor

... Position control of an electro- hydraulic servo system using slidlng mode wntrol enhanced by fuzzy PI contrdler.. Robust adaptive control of.[r] ...

14

Analyze the Effect of Oil Shocks on the U.S. Economy in a Time-Varying-Parameter Structural VAR Framework.

Analyze the Effect of Oil Shocks on the U.S. Economy in a Time-Varying-Parameter Structural VAR Framework.

... Chapter 6 Conclusion This paper extends Kilian’s research on oil shocks by using a TVP model and Markov chain Monte Carlo methods. The plot of volatility states suggests there exists a gradually decreasing tendency of ...

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Template-Based Estimation of Time-Varying Tempo

Template-Based Estimation of Time-Varying Tempo

... automatic estimation of tempo over ...over time are then estimated jointly using proposed meter/beat subdivision templates and a Viterbi decoding ...

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