We present results from a range of experiments on article and preposition error correction for non-native speakers of English. We first compare a language model and errorspecific classifiers (all trained on large English corpora) with respect to their performance in error detection and correction. We then combine the language model and the classifiers in a meta-classification approach by combin...

We present results from a range of experiments on article and preposition error correction for non-native speakers of English. We first compare a language model and errorspecific classifiers (all trained on large English corpora) with respect to their performance in error detection and correction. We then combine the language model and the classifiers in a meta-classification approach by combin...

The predictive accuracy of various econometric models, including random walks, vector autoregressive and vector error-correction models, are investigated using daily futures prices of 4 commodities (the S&P500 index, treasury bonds, gold and crude oil). All models are estimated using a rolling window approach, and evaluated by both in-sample and out-of-sample performance measures. The criteria ...

This study examined the effect of external debt burden on growth Nigeria economy. Time series data was sourced from Central Bank Statistical Bulletin 1986-2019. real gross domestic proxied for dependent variable while servicing; stock, overhang, sustainability and crowd-out were proxies independent variables. The employed multiple regression models to estimate relationship that exists between i...

This work presents a numerical study of functional type a posteriori error estimates for IgA approximation schemes in the context of elliptic boundary-value problems. Along with the detailed discussion of the most crucial properties of such estimates, we present the algorithm of a reliable solution approximation together with the scheme of efficient a posteriori error bound generation that is b...