Showing 1 - 10 of 2,436
Persistent link: https://www.econbiz.de/10011659473
Persistent link: https://www.econbiz.de/10012653221
In this paper, we propose a novel learning-based robust adaptive trajectory tracking controller for wheeled mobile robots (WMR) subject to velocity input uncertainties. Gaussian process regression (GPR) is employed in view of its powerful estimation ability and wide scope of applications as a...
Persistent link: https://www.econbiz.de/10013302085
This paper develops an asymptotic theory for a general class of nonlinear ary regressions, extending earlier work by Phillips and Hansen (1990) on linear cointegrating regressions. The model considered accommodates a linear time trend and stationary regressors, as well as multiple I(1)...
Persistent link: https://www.econbiz.de/10014164292
This paper develops an asymptotic theory for a general class of nonlinear non-stationary regressions, extending earlier work by Phillips and Hansen (1990) on linear cointegrating regressions. The model considered accommodates a linear time trend and stationary regressors, as well as multiple...
Persistent link: https://www.econbiz.de/10014125966
Persistent link: https://www.econbiz.de/10012211815
Empirical volatility studies have discovered nonstationary, long-memory dynamics in the volatility of the stock market and foreign exchange rates. This highly persistent, infinite variance—but still mean reverting—behavior is commonly found with nonparametric estimates of the fractional...
Persistent link: https://www.econbiz.de/10012970590
I provide conditions under which the trimmed FDQML estimator, advanced by McCloskey (2010) in the context of fully parametric short-memory models, can be used to estimate the long-memory stochastic volatility model parameters in the presence of additive low-frequency contamination in log-squared...
Persistent link: https://www.econbiz.de/10013098304
Persistent link: https://www.econbiz.de/10012820676
I provide conditions under which the trimmed FDQML estimator, advanced by McCloskey (2010) in the context of fully parametric short-memory models, can be used to estimate the long-memory stochastic volatility model parameters in the presence of additive low-frequency contamination in log-squared...
Persistent link: https://www.econbiz.de/10009660446