Results 11 to 20 of about 1,470,732 (345)

Nonlinear error correction models [PDF]

Journal of Time Series Analysis, 2002
The relationship between cointegration and error correction (EC) models is well characterized in a linear context, but the extension to the nonlinear context is still a challenge. Few extensions of the linear framework have been done in the context of nonlinear error correction (NEC) or asymmetric and time varying error correction models. In this paper,
Alvaro Escribano, Santiago Mira
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Factor‐augmented Error Correction Models* [PDF]

, 2009
This paper brings together several important strands of the econometrics literature: errorcorrection, cointegration and dynamic factor models. It introduces the Factor-augmented Error Correction Model (FECM), where the factors estimated from a large set of variables in levels are jointly modelled with a few key economic variables of interest.
MARCELLINO, MASSIMILIANO, A. Banerjee
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An Error-Guided Correction Model for Chinese Spelling Error Correction

Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Although existing neural network approaches have achieved great success on Chinese spelling correction, there is still room to improve.The model is required to avoid overcorrection and to distinguish a correct token from its phonological and visually similar ones.In this paper, we propose an error-guided correction model (EGCM) to improve Chinese ...
Rui Sun, Xiuyu Wu, Yunfang Wu
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Modeling coherent errors in quantum error correction [PDF]

Quantum Science and Technology, 2017
10 pages, 3 figures.
Daniel Greenbaum, Zachary Dutton
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Intelligent Error Correction Model for Chinese Idioms Fused with Fixed-length Seq2Seq Network [PDF]

Jisuanji kexue
As a special kind of words,four-character idioms are very popular in Chinese.With the development of Chinese error correction task,intelligent error correction for Chinese idioms has become a research hotspot in natural language processing(NLP) domain ...
HE Chunhui, GE Bin, ZHANG Chong, XU Hao
doaj   +1 more source

Forecasting with factor-augmented error correction models [PDF]

International Journal of Forecasting, 2014
As a generalization of the factor-augmented VAR (FAVAR) and of the Error Correction Model (ECM), Banerjee and Marcellino (2009) introduced the Factor-augmented Error Correction Model (FECM). The FECM combines error-correction, cointegration and dynamic factor models, and has several conceptual advantages over the standard ECM and FAVAR models.
A. Banerjee, MARCELLINO, MASSIMILIANO, I. Masten   +2 more
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Comparing parametric and semiparametric error correction models for estimation of long run equilibrium between exports and imports

Apstract: Applied Studies in Agribusiness and Commerce, 2017
This paper introduces the semiparametric error correction model for estimation of export-import relationship as an alternative to the least squares approach.
Henry De-Graft Acquah, Lawrence Acheampong   +1 more
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AUTOMATED ESTIMATION OF VECTOR ERROR CORRECTION MODELS [PDF]

Econometric Theory, 2012
Model selection and associated issues of post-model selection inference present well known challenges in empirical econometric research. These modeling issues are manifest in all applied work but they are particularly acute in multivariate time series settings such as cointegrated systems where multiple interconnected decisions can materially affect ...
LIAO, Zhipeng, Peter C. B. PHILLIPS
openaire   +3 more sources

Error Correction for Semi-Supervised Classification Based on Fix Match [PDF]

ITM Web of Conferences
Semi-supervised learning (SSL) leverages unlabeled data to support model training, thereby improving model accuracy. However, most existing SSL methods rely heavily on unlabeled data for model correction while often overlooking the potential error ...
Zhang Ziqian
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Variability of factors influencing coffee export performance in Indonesia.

Coffee and Cocoa Research Journal, 2023
Empirical evidence is lacking on the nexus between coffee commodity output and commodity price volatility of developing countries especially during pandemic era.
Rizky Yanuarti, Dani Widjaya
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