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  • Your search results: "Time-varying parameters"
Showing 1 - 20 results of 1,579 for search '"Time-varying parameters"', query time: 1.50s Narrow search
  • 1
    Cover Image Journal Article
    How to go viral: A COVID-19 model with endogenously time-varying parameters
    by Ho, Paul   Lubik, Thomas A   Matthes, Christian Published in Journal of econometrics (15.01.2021)
    “...We estimate a panel model with endogenously time-varying parameters for COVID-19 cases and deaths in U.S. states. The functional form for infections...”
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  • 2
    Cover Image Journal Article
    The Impact of a Product-Harm Crisis on Marketing Effectiveness
    by Van Heerde, Harald   Helsen, Kristiaan   Dekimpe, Marnik G Published in Marketing science (Providence, R.I.) (01.03.2007)
    “...Product-harm crises are among a firm’s worst nightmares. A firm may experience (i) a loss in baseline sales, (ii) a reduced own effectiveness for its marketing...”
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  • 3
    Cover Image Journal Article
    Adaptive NN tracking control with prespecified accuracy for a class of uncertain periodically time-varying and nonlinearly parameterized switching systems
    by Yang, Xiaoli   Li, Jing   Zhang, Zhaohui Published in Neurocomputing (Amsterdam) (07.05.2021)
    “...This paper focuses on a tracking control issue for a class of uncertain switching nonlinear systems under arbitrary switching with unknown time-varying...”
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  • 4
    Cover Image Journal Article
    Spillover dynamics for systemic risk measurement using spatial financial time series models
    by Blasques, Francisco   Koopman, Siem Jan   Lucas, Andre   Schaumburg, Julia Published in Journal of econometrics (01.12.2016)
    “...We extend the well-known static spatial Durbin model by introducing a time-varying spatial dependence parameter. The updating steps for this model are...”
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  • 5
    Cover Image Journal Article
    Finite-time Synchronization of Reaction-Diffusion Neural Networks With Time-Varying Parameters and discontinuous activations
    by Wang, Zengyun   Cao, Jinde   Cai, Zuowei   Tan, Xuegang   Chen, Rensi Published in Neurocomputing (Amsterdam) (01.03.2021)
    “...•The studied reaction-diffusion neural network model is different in the following two aspects. One is that the neuron function is discontinuous, and the other...”
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  • 6
    Cover Image Journal Article
    Deriving adaptive operating rules of hydropower reservoirs using time‐varying parameters generated by the EnKF
    by Feng, Maoyuan   Liu, Pan   Guo, Shenglian   Shi, Liangsheng   Deng, Chao   Ming, Bo Published in Water resources research (01.08.2017)
    “...Operating rules have been used widely to decide reservoir operations because of their capacity for coping with uncertain inflow. However, stationary operating...”
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  • 7
    Cover Image Journal Article
    Time-varying instrumental variable estimation
    by Giraitis, Liudas   Kapetanios, George   Marcellino, Massimiliano Published in Journal of econometrics
    “...We develop non-parametric instrumental variable estimation and inferential theory for econometric models with possibly endogenous regressors whose coefficients...”
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  • 8
    Cover Image Journal Article
    Robust estimation of linear state space models
    by Crevits, Ruben   Croux, Christophe
    2018
    “...The model parameters of linear state space models are typically estimated with maximum likelihood estimation, where the likelihood is computed analytically...”
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  • 9
    Cover Image Journal Article
    Conditional Euro Area Sovereign Default Risk
    by Lucas, André   Schwaab, Bernd   Zhang, Xin Published in Journal of business & economic statistics (03.04.2014)
    “...We propose an empirical framework to assess the likelihood of joint and conditional sovereign default from observed CDS prices. Our model is based on a dynamic...”
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  • 10
    Cover Image Journal Article
    State and parameter joint estimation of linear stochastic systems in presence of faults and non‐Gaussian noises
    by Stojanovic, Vladimir   He, Shuping   Zhang, Baoyong Published in International journal of robust and nonlinear control (10.11.2020)
    “...Summary Joint estimation of states and time‐varying parameters of linear stochastic systems is of practical importance for fault diagnosis and fault tolerant...”
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  • 11
    Cover Image Journal Article
    A Non-Stationary IMT-Advanced MIMO Channel Model for High-Mobility Wireless Communication Systems
    by Ghazal, Ammar   Yi Yuan   Cheng-Xiang Wang   Yan Zhang   Qi Yao   Hongrui Zhou   Weiming Duan Published in IEEE transactions on wireless communications (01.04.2017)
    “...With the recent developments of high-mobility wireless communication systems, e.g., high-speed train (HST) and vehicle-to-vehicle communication systems, the...”
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  • 12
    Cover Image Journal Article
    Hierarchical Shrinkage in Time‐Varying Parameter Models
    by Belmonte, Miguel A.G   Koop, Gary   Korobilis, Dimitris Published in Journal of forecasting (01.01.2014)
    “...ABSTRACTIn this paper, we forecast EU area inflation with many predictors using time‐varying parameter models. The facts that time‐varying parameter models are...”
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  • 13
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    Forecasting realized volatility in a changing world: A dynamic model averaging approach
    by Wang, Yudong   Ma, Feng   Wei, Yu   Wu, Chongfeng Published in Journal of banking & finance (01.03.2016)
    “...In this study, we forecast the realized volatility of the S&P 500 index using the heterogeneous autoregressive model for realized volatility (HAR-RV) and its...”
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  • 14
    Cover Image Journal Article
    Long Memory of Financial Time Series and Hidden Markov Models with Time‐Varying Parameters
    by Nystrup, Peter   Madsen, Henrik   Lindström, Erik Published in Journal of forecasting (01.12.2017)
    “...Hidden Markov models are often used to model daily returns and to infer the hidden state of financial markets. Previous studies have found that the estimated...”
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  • 15
    Cover Image Journal Article
    Combination forecasts of output growth in a seven‐country data set
    by Stock, James H   Watson, Mark W Published in Journal of forecasting (01.09.2004)
    “...This paper uses forecast combination methods to forecast output growth in a seven‐country quarterly economic data set covering 1959–1999, with up to 73...”
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  • 16
    Cover Image Journal Article
    Voxelwise lp‐ntPET for detecting localized, transient dopamine release of unknown timing: Sensitivity Analysis and Application to Cigarette Smoking in the PET Scanner
    by Kim, Su Jin   Sullivan, Jenna M   Wang, Shuo   Cosgrove, Kelly P   Morris, Evan D Published in Human brain mapping (01.09.2014)
    “...The “linear parametric neurotransmitter PET” (lp‐ntPET) model estimates time variation in endogenous neurotransmitter levels from dynamic PET data. The pattern...”
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  • 17
    Cover Image Journal Article
    Parameter-memorized Lyapunov functions for discrete-time systems with time-varying parametric uncertainties
    by Xiang, Weiming Published in Automatica (Oxford) (01.01.2018)
    “...In this paper, a novel parameter-memorized Lyapunov function is proposed for stability analysis of discrete-time linear systems with time-varying parametric...”
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  • 18
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    Macroeconomic Effects of Government Spending: The Great Recession was (Really) Different
    by KLEIN, MATHIAS   LINNEMANN, LUDGER Published in Journal of money, credit and banking (01.08.2019)
    “...We estimate the effect of government spending shocks on the U.S. economy with a time‐varying parameter vector autoregression. The recent Great Recession period...”
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  • 19
    Cover Image Journal Article
    Parameter estimation for pseudo-linear systems using the auxiliary model and the decomposition technique
    by Ding, Feng   Wang, Feifei   Xu, Ling   Hayat, Tasawar   Alsaedi, Ahmed Published in IET control theory & applications (03.02.2017)
    “...This study focuses on the parameter identification problems of pseudo-linear systems. The main goal is to present recursive least squares (RLS) estimation...”
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  • 20
    Cover Image Journal Article
    Performance analysis of the generalised projection identification for time-varying systems
    by Ding, Feng   Xu, Ling   Zhu, Quanmin Published in IET control theory & applications (12.12.2016)
    “...The least mean square methods include two typical parameter estimation algorithms, which are the projection algorithm and the stochastic gradient algorithm,...”
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