time-varying parameter estimation
New developments in the CAPTAIN Toolbox for Matlab with case study examples
... for time series analysis, forecasting and ...off–line, time–varying parameter estimation routines for Unobserved Component (UC) modelling and forecasting; Refined Instrumental Variable ...
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Sequential Parameter Estimation of Time Varying Non Gaussian Autoregressive Processes
... 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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Recursive parameter estimation for discrete time model of an electro hydraulic servo system with varying forgetting factor
... 2011 In general, an electro-hydraulic servo EHS system inherently suffers from parameter uncertainties and variation which makes the modeling and controller design complicated.. To encou[r] ...
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Inducing sparsity and shrinkage in time-varying parameter models
... Which is better: shrinkage or sparsity? The answer to this question depends on the empirical application. In macroeco- nomics, there is evidence that shrinkage and sparsity can both play a role. For instance, in the case ...
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Time varying parameter and fixed parameter linear AIDS : an application to tourism demand forecasting
... develops time varying parameter (TVP) linear almost ideal demand system (LAIDS) models in both long-run (LR) static and short-run error correction (EC) ...fixed- parameter EC counterparts is ...
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Forecasting tourist arrivals using time-varying parameter structural time series models
... Structural time series models (STSMs), which specify the trend, seasonal and cycle components of a variable as stochastic, and the time-varying parameter (TVP) regression approach, which ...
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Hierarchical shrinkage in time varying parameter models
... variables. Estimation of such models, where the number of parameters is large relative to the number of observations, can lead to imprecise estimation and over-fitting ...
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Variational Bayes inference in high dimensional time varying parameter models
... of time-varying parameters are less noisy because they are smoothed estimates, while VBKF estimates are ...reliable parameter estimation in-sample, but when forecasting smoothing does not play ...
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Quasi Bayesian estimation of time varying volatility in DSGE models
... the parameter vector to include additional coe¢ cients from the latent volatility ...of time varying volatilities and time invariant parameters in a DSGE framework without imposing parametric ...
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Semiparametric Bayesian inference for time-varying parameter regression models with stochastic volatility
... Chan JCC. 2015. The stochastic volatility in mean model with time-varying parameters: An application to inflation modeling. Journal of Business & Economic Statistics, forthcoming. Chan JCC, Jeliazkov I. ...
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Efficient Estimation of the Parameter Path in Unstable Time Series Models
... the parameter path is useful for a number of ...the parameter path is useful for forecasting purposes (see, for instance, Chernoff and Zacks (1964), Sims (1993), Stock and Watson (1996) or Pesaran, Pet- ...
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State bounding estimation for a linear continuous time singular system with time varying delay
... bounding estimation has been widely applied in control sys- tems with actuator saturation, peak-to-peak gain minimization, and parameter estimation (see ...bounding estimation is meant to get ...
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Online Monitoring for Industrial Processes Quality Control Using Time Varying Parameter Model
... and time-variant ...models estimation with low complexity by this technique was indicated the maximum prediction accuracy, minimum error and more appropriate performance indexes compared to models that ...
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Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications
... with time-varying coeffi- cients but with constant volatility raises a question that the estimated time-varying coefficients are likely to be biased due to ignoring a possible variation of the ...
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Hierarchical Shrinkage in Time-Varying Parameter Models
... variables. Estimation of such models, where the number of parameters is large relative to the number of observations, can lead to imprecise estimation and over-fitting ...
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Large time varying parameter VARs
... for estimation and forecasting in large time- varying parameter vector autoregressive models ...likelihood-based estimation of large systems, we rely on Kalman filter estimation ...
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Analysis of time varying parameter models
... Given the above model (1.1) together with the parameterization of u^ our purpose is to estimate the coefficients of lag polynomials a(L), 3(L), and y(L) recursively on receipt of the additional observations. Although the ...
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Large time-varying parameter VARs
... for estimation and forecasting in large time-varying parameter vector autoregressive models ...in time, but a smaller TVP-VAR at ...a time- varying manner, the ...
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Parameter Estimation for the Continuous Time Stochastic Logistic Diffusion Model
... decades, parameter estimation problem for the stochastic differential equation have been studied by many scholars whose results mostly base on the discrete ...
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PubMedCentral-PMC5710774.pdf
... the estimation results for n = 200 and 400 and M = 50 after 500 ...the estimation procedure in Section 2 to each simulated data set and calculated all unknown ...smaller estimation error compared ...
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