Result of Single Equation Error Correction Models
Error-correction Mechanism Tests for Cointegration in a Single-equation Framework
... a single equation framework where the regressors are weakly exogenous for the parameters of ...an error correction mechanism (ECM) test and is based upon the ordinary least squares coef®cient ...
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Forecasting Performance of Alternative Error Correction Models
... that long horizon forecasts from the co-integrated systems satisfy the co-integration relationship exactly and that the cointegration combination of variables can be forecast with finite long-horizon forecast ...
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Vector Autoregression and Vector Error-Correction Models
... A key distinction in understanding and applying VARs is between the innovation terms v in the VAR and underlying exogenous, orthogonal shocks to each variable, which we shall call ε. The innovation in y t is the part of ...
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Language Models for Contextual Error Detection and Correction
... 3.3 Empirical results Table 1 sums up the results we obtained with the different systems. The baseline scores are gen- erally very high, which tells us that the distribu- tion of classes in a single confusible set ...
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Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?
... evaluation. Single-corpus evaluation may be insufficient in cases wherein a GEC model generally aims to robustly correct grammatical errors in any writ- ten text partly because the task difficulty varies depending ...
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Grammatical Error Correction as Multiclass Classification with Single Model
... Grammatical error correction is the task of auto- matically detecting and correcting erroneous word usage and ill-formed grammatical constructions in text (Dahlmeier et ...grammatical error ...
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Stationary Vector Autoregressive Representation of Error Correction Models
... level. The possible number of ordering for the identifica- tion of structural shocks is 6 for the trivariate model, and we investigate all these cases. However, changing the order has no influence on the results. Thus, ...
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The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction
... Another interesting result is that while BERT surpasses the n-gram baseline overall, it achieves worse performance than the rest in terms of preci- sion and F 0.5 score. Considering its overall suc- cess at ...
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LM-Critic: Language Models for Unsupervised Grammatical Error Correction
... Implementation details. The encoder-decoder Transformer architecture has 12 layers, 16 attention heads and hidden state size of 768. The model parameters are initialized with the BART-base release (Lewis et al., 2020), ...
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Asymmetric Error Correction Models for the Oil-Gasoline Price Relationship
... and single stages, while it is generally distributed over three periods in the second ...and single stages, while “differential” short-run effects characterize all stages and have positive sign, except for ...
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Further results on weak-exogeneity in vector error correction models
... similar result concerning the effectiveness of restriction testing on long-run parameters in the Johansen’s framework has also been obtained by Greenslade et al (1999) when r is ...significant result for the ...
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Numerical solution of advection–diffusion type equation by modified error correction scheme
... It must be noted that the result for v has a similar aspect to that of u. To compare the proposed method and the original ECM in terms of computational costs, we measured the relative L 2 norm error and CPU ...
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Single equation models for inflation forecasting in Rwanda
... ADL models, the in-sample Wald statistic, the MSFE, mean absolute forecast error (MAFE), the Relative MSFE, and the four out-of-sample test statistics (MSE-T, MSE-F, ENC-T and ENC- ...
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Single equation endogenous binary reponse models
... depressing result of the paper is that in the endogenous binary response setting the identi…ed sets delivered by an IV model can be large unless instrumental variables have substantial predictive power for the ...
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Grammatical Error Detection and Correction using a Single Maximum Entropy Model
... grammatical error cor- rection which consists of detecting and correcting the grammatical errors in English essays written by non-native speakers (Ng et ...grammatical error correction can poten- ...
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Estimating threshold vector error-correction models with multiple cointegrating relationships
... dimensions of the grid search remain the same, the grid values of γ are allowed to change with their accompanying values of β , ensuring that there are no superfluous computations, and that all possible points on the ...
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Nonlinear error correction models
... In particular, we partially extend Granger Representation Theorem to the nonlinear case and we study the estimation and -inference properties of least squares when [r] ...
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Estimation of nonlinear error correction models
... the error correction term appears in a bounded transition function ...smooth models assuming that the cointegrating vector estimators converge at a certain ...smooth models while the threshold ...
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Threshold effects In multivariate error correction models
... threshold models that contributed to this line of research is their ability to capture persistent behaviour while remaining globally ...threshold models that allow the nonstationary component to occur ...
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Error Correction Using Probabilistic Language Models
... generic correction model is to avoid or at least limit the use of any prior knowledge of the data being ...the correction system to be applied to a wide variety of use ...web-scale error ...
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