quasi-maximum likelihood approach
Estimation of Dynamic Stochastic Frontier Model using Likelihood based Approaches
... the quasi-maximum likelihood approach, which seems to be the easiest one to implement from the practical point of ...QML approach compared with the FML estimation has not yet been ...
37
Simulated maximum likelihood for general stochastic volatility models: a change of variable approach
... (2006). First a BFGS quasi-Newton solver (Nocedal and Wright, 1999), then a full Newton solver (Nocedal and Wright, 1999). The BFGS solver provide stability over a large part of the parameter space, whereas the ...
24
Quasi-maximum likelihood estimation and bootstrap inference in fractional time series models with heteroskedasticity of unknown form
... classical likelihood-based Wald, likelihood ratio (LR) and Lagrange multiplier (LM) tests for inference on the long memory parameter have been derived under the assumption of conditionally (and, hence, ...
91
The Poisson quasi maximum likelihood estimator: A solution to the “adding up” problem in gravity models
... traditional approach of log linearization and OLS ...Poisson quasi-maximum likelihood ...other quasi-maximum likelihood estimator ...
12
Normal mixture quasi maximum likelihood estimation for non-stationary TGARCH(1,1) models
... general quasi likelihood distributions which can capture the skewness or heavy- tail of the ...first approach was employed in Vlaar and Palm (1993), Haas et ...second approach was used for ...
12
Global self-weighted and local quasi-maximum exponential likelihood estimators for ARMA-GARCH/IGARCH models
... QMLE and the local QMLE was established by Ling (2007) for model (1.1)–(1.2). It is well known that the asymptotic normality of the QMLE requires Eη t 4 < ∞ and this property is lost when Eη 4 t = ∞ ; see Hall and Yao ...
34
Generalized quasi maximum likelihood inference for periodic conditionally heteroskedastic models
... Anderson et al, 2007; Tesfaye et al, 2011; Franses and Paap, 2011; Rossi and Fantazani, 2015), periodic B-splines (Ziel et al, 2015) or periodic wavelets (see also Ziel et al, 2016; Ambach and Croonenbroeck, 2015; Ambach ...
45
A semi parametric GARCH (1, 1) estimator under serially dependent innovations
... wrong likelihood functions and hence inconsistent ...estimation approach where you do not make any assumption about the ...parametric approach but under quasi maximum likelihood ...
68
A QUASI-LIKELIHOOD APPROACH TO PARAMETER ESTIMATION FOR SIMULATABLE STATISTICAL MODELS
... for likelihood functions or distribution characteristics as function of the model parameters are ...as maximum likelihood (ML), typical Bayesian algorithms (including Markov- chain-Monte-Carlo-type ...
13
Estimating from Cross sectional Categorical Data Subject to Misclassification and Double Sampling: Moment based, Maximum Likelihood and Quasi Likelihood Approaches
... The approach we follow was introduced by Wedderburn (1974) as a basis for fitting generalised linear regression ...specified likelihood. Under this approach, Wedderburn replaced the assumptions about ...
34
Analytical quasi maximum likelihood inference in multivariate volatility models
... With respect to evaluating the cross product of first order derivatives it makes little difference if a numerical or an analytical approach is followed. In this case the empirical size estimates are very close ...
14
Global self weighted and local quasi maximum exponential likelihood estimators for ARMA GARCH/IGARCH models
... QMLE and the local QMLE was established by Ling (2007) for model (1.1)–(1.2). It is well known that the asymptotic normality of the QMLE requires Eη t 4 < ∞ and this property is lost when Eη 4 t = ∞ ; see Hall and Yao ...
34
A mixed portmanteau test for ARMA GARCH model by the quasi maximum exponential likelihood estimation approach
... case; McLeod (1978) obtained the limiting distribution of residual autocorrelations by using the martingale approach; McLeod and Li (1983) further used the square- residual autocorrelations for model checking; and ...
15
Estimation and tests for power-transformed and threshold GARCH models
... normality approach of maximum likeli- hood estimation (MLE), we consider Gaussian quasi-maximum likelihood esti- mation (QMLE) for PTTGARCH(p,q) model and obtain asymptotic normality of ...
39
Three-way interactions with latent variables : a maximum likelihood approach
... LMS approach is that it is ex- plicitly based on approximating a continuous mixture distribution by a finite mixture of normal ...the Quasi Maximum Likelihood (QML) estimation method, which is ...
60
Functional GARCH models: the quasi likelihood approach and its applications
... In this paper, we propose an estimator inspired by the classical GARCH QML (Quasi- Maximum Likelihood) method (Section 3). The definition of a QMLE is far from straightfor- ward in that context, ...
32
On The Comparison Of Methods Of Estimating Variance Components: A Case Of Gudali Beef Cattle
... frequency approach were compared in this ...(ANOVA), Quasi-maximum-likelihood method (QML), Modified likelihood method (ML), Restricted maximum-likelihood method (REML), ...
11
Approximate Profile Maximum Likelihood
... profile maximum likelihood (PML), a variant of maximum likelihood maximizing the probability of observing a sufficient statistic rather than the empirical ...our approach is competitive ...
55
Maximum likelihood approach to DoA estimation using lens antenna array
... for focusing the energy. It is illustrated that the power dis- tribution of receive signals is a sinc function of the incident signal direction. As a result, we for the first time, propose the use of LNA for estimating ...
7
Novel maximum likelihood approach for passive detection and localisation of multiple emitters
... There is no practical reason why the nearest neighbour data association approach cannot be used if the measure- ments from different sensors are correlated. However, it should be noted that the resulting ...
24