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Epilepsy EEG data has special characteristics including nonlinearity, nonnormality, and nonperiodicity. Therefore, it is important to find a suitable forecasting method that covers these special characteristics. In this paper, we propose a coercively adjusted autoregression (CA-AR) method that forecasts future values from a multivariable epilepsy EEG time series. We use the technique of random coefficients, which forcefully adjusts the coefficients with<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mrow><mml:mo>\u2212<\/mml:mo><mml:mn>1<\/mml:mn><\/mml:mrow><\/mml:math>and 1. The fractal dimension is used to determine the order of the CA-AR model. We applied the CA-AR method reflecting special characteristics of data to forecast the future value of epilepsy EEG data. Experimental results show that when compared to previous methods, the proposed method can forecast faster and accurately.<\/jats:p>","DOI":"10.1155\/2013\/545613","type":"journal-article","created":{"date-parts":[[2013,4,28]],"date-time":"2013-04-28T17:01:12Z","timestamp":1367168472000},"page":"1-12","source":"Crossref","is-referenced-by-count":16,"title":["Coercively Adjusted Auto Regression Model for Forecasting in Epilepsy EEG"],"prefix":"10.1155","volume":"2013","author":[{"given":"Sun-Hee","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christos","family":"Faloutsos","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, 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