Matches in SemOpenAlex for { <https://semopenalex.org/work/W3108788561> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W3108788561 abstract "Inflation rate forecasting is one most discussed topics on time-series analysis due to its importance on macroeconomic policy. The majority of these papers’ findings point out that forecasting combination methods usually outperform individual models. In this sense, we evaluate a novel method to combine forecasts based on Extreme Learning Machine Method [15], which is becoming very popular but, to the best of our knowledge, has not been used to this purpose. We test Inflation Rate forecasting for a set of American countries, for one, two, three, ten, eleven and twelve steps ahead. The models to be combined are automatically estimated by R forecast package, as SARIMA, Exponential Smoothing, ARFIMA, Spline Regression, and Artificial Neural Networks. Another goal of our paper is to test our model against classical combination methods such Granger Bates, Linear Regression, and Average Mean of models as benchmarks, but also test it against basic forms of new models in the literature, like [8, 10, 26]. Therefore, our paper also contributes to the discussion of forecast combination by comparing versions of some methods that have not been tested against each other. Our results indicate that none of these methods have an indisputable superiority against the others, however, the Extreme Learning Method proved to be the most efficient of all, with the smaller Mean Absolute Error and Mean Squared Error for its predictions." @default.
- W3108788561 created "2020-12-07" @default.
- W3108788561 creator A5075681407 @default.
- W3108788561 creator A5085333953 @default.
- W3108788561 date "2020-01-01" @default.
- W3108788561 modified "2023-09-28" @default.
- W3108788561 title "Inflation Rate Forecasting: Extreme Learning Machine as a Model Combination Method" @default.
- W3108788561 cites W1572930125 @default.
- W3108788561 cites W1605276600 @default.
- W3108788561 cites W2000842688 @default.
- W3108788561 cites W2038601479 @default.
- W3108788561 cites W2068424727 @default.
- W3108788561 cites W2084200811 @default.
- W3108788561 cites W2111345445 @default.
- W3108788561 cites W2125536334 @default.
- W3108788561 cites W2232047163 @default.
- W3108788561 cites W2487770199 @default.
- W3108788561 cites W2607243734 @default.
- W3108788561 cites W2796601240 @default.
- W3108788561 cites W2885114451 @default.
- W3108788561 cites W2887255427 @default.
- W3108788561 cites W2901442691 @default.
- W3108788561 cites W2943236037 @default.
- W3108788561 cites W3108788561 @default.
- W3108788561 cites W3122242562 @default.
- W3108788561 cites W3123777129 @default.
- W3108788561 cites W4230841866 @default.
- W3108788561 cites W4235011515 @default.
- W3108788561 cites W4241115065 @default.
- W3108788561 cites W4292671038 @default.
- W3108788561 doi "https://doi.org/10.1007/978-3-030-56219-9_24" @default.
- W3108788561 hasPublicationYear "2020" @default.
- W3108788561 type Work @default.
- W3108788561 sameAs 3108788561 @default.
- W3108788561 citedByCount "1" @default.
- W3108788561 countsByYear W31087885612020 @default.
- W3108788561 crossrefType "book-chapter" @default.
- W3108788561 hasAuthorship W3108788561A5075681407 @default.
- W3108788561 hasAuthorship W3108788561A5085333953 @default.
- W3108788561 hasConcept C105795698 @default.
- W3108788561 hasConcept C119857082 @default.
- W3108788561 hasConcept C121332964 @default.
- W3108788561 hasConcept C133710760 @default.
- W3108788561 hasConcept C139945424 @default.
- W3108788561 hasConcept C149782125 @default.
- W3108788561 hasConcept C151406439 @default.
- W3108788561 hasConcept C154945302 @default.
- W3108788561 hasConcept C200941418 @default.
- W3108788561 hasConcept C24338571 @default.
- W3108788561 hasConcept C2780150128 @default.
- W3108788561 hasConcept C33332235 @default.
- W3108788561 hasConcept C33923547 @default.
- W3108788561 hasConcept C41008148 @default.
- W3108788561 hasConcept C50644808 @default.
- W3108788561 hasConceptScore W3108788561C105795698 @default.
- W3108788561 hasConceptScore W3108788561C119857082 @default.
- W3108788561 hasConceptScore W3108788561C121332964 @default.
- W3108788561 hasConceptScore W3108788561C133710760 @default.
- W3108788561 hasConceptScore W3108788561C139945424 @default.
- W3108788561 hasConceptScore W3108788561C149782125 @default.
- W3108788561 hasConceptScore W3108788561C151406439 @default.
- W3108788561 hasConceptScore W3108788561C154945302 @default.
- W3108788561 hasConceptScore W3108788561C200941418 @default.
- W3108788561 hasConceptScore W3108788561C24338571 @default.
- W3108788561 hasConceptScore W3108788561C2780150128 @default.
- W3108788561 hasConceptScore W3108788561C33332235 @default.
- W3108788561 hasConceptScore W3108788561C33923547 @default.
- W3108788561 hasConceptScore W3108788561C41008148 @default.
- W3108788561 hasConceptScore W3108788561C50644808 @default.
- W3108788561 hasLocation W31087885611 @default.
- W3108788561 hasOpenAccess W3108788561 @default.
- W3108788561 hasPrimaryLocation W31087885611 @default.
- W3108788561 hasRelatedWork W115344724 @default.
- W3108788561 hasRelatedWork W1481720392 @default.
- W3108788561 hasRelatedWork W2078176168 @default.
- W3108788561 hasRelatedWork W2135877757 @default.
- W3108788561 hasRelatedWork W2284394663 @default.
- W3108788561 hasRelatedWork W2301656093 @default.
- W3108788561 hasRelatedWork W2473460980 @default.
- W3108788561 hasRelatedWork W2603525094 @default.
- W3108788561 hasRelatedWork W2603806338 @default.
- W3108788561 hasRelatedWork W2607243734 @default.
- W3108788561 hasRelatedWork W2966860095 @default.
- W3108788561 hasRelatedWork W30432864 @default.
- W3108788561 hasRelatedWork W3120493739 @default.
- W3108788561 hasRelatedWork W3121356139 @default.
- W3108788561 hasRelatedWork W3122503089 @default.
- W3108788561 hasRelatedWork W3135394826 @default.
- W3108788561 hasRelatedWork W3157480904 @default.
- W3108788561 hasRelatedWork W3160697794 @default.
- W3108788561 hasRelatedWork W3204342572 @default.
- W3108788561 hasRelatedWork W1580381621 @default.
- W3108788561 isParatext "false" @default.
- W3108788561 isRetracted "false" @default.
- W3108788561 magId "3108788561" @default.
- W3108788561 workType "book-chapter" @default.