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Document classification is an area of great importance for which many classification methods have been developed. However, most of these methods cannot generate time-dependent classification rules. Thus, they are not the best choices for problems with time-varying structures. To address this...
Persistent link: https://www.econbiz.de/10011134142
The problem of regression shrinkage and selection for multivariate regression is considered. The goal is to consistently identify those variables relevant for regression. This is done not only for predictors but also for responses. To this end, a novel relationship between multivariate...
Persistent link: https://www.econbiz.de/10010617239
As two important constituents of China’s macro economy, there are varieties relationships among the stock market, the estate market and China’s macro economy. In order to investigate these relationships, in this paper, especially with the Macroeconomic Boom Index reflecting China’s macro...
Persistent link: https://www.econbiz.de/10010672199
As two important constituents of China’s macro economy, there are a variety of relationships among China’s stock market, real estate market and its macro economy. In order to investigate these relationships, in this paper, especially with the Macroeconomic Boom Index reflecting China’s...
Persistent link: https://www.econbiz.de/10010681621
The class of generalized autoregressive conditional heteroscedastic (GARCH) models has proved particularly valuable in modelling time series with time varying volatility. These include financial data, which can be particularly heavy tailed. It is well understood now that the tail heaviness of...
Persistent link: https://www.econbiz.de/10009439775
Persistent link: https://www.econbiz.de/10005532760
Persistent link: https://www.econbiz.de/10005546404
We consider here the problem of testing the effect of a subset of predictors for a regression model with predictor dimension fixed but ultra high dimensional responses. Because the response dimension is ultra high, the classical method of likelihood ratio test is no longer applicable. To solve...
Persistent link: https://www.econbiz.de/10011117693
The class of generalized autoregressive conditional heteroscedastic (GARCH) models has proved particularly valuable in modelling time series with time varying volatility. These include financial data, which can be particularly heavy tailed. It is well understood now that the tail heaviness of...
Persistent link: https://www.econbiz.de/10011126440
Ultrahigh dimensional data with both categorical responses and categorical covariates are frequently encountered in the analysis of big data, for which feature screening has become an indispensable statistical tool. We propose a Pearson chi-square based feature screening procedure for...
Persistent link: https://www.econbiz.de/10010825835