Sökning: "TIME-SERIES REGRESSION"
Visar resultat 1 - 5 av 64 avhandlingar innehållade orden TIME-SERIES REGRESSION.
1. Data driven modeling in the presence of time series structure: : Improved bounds and effective algorithms
Sammanfattning : This thesis consists of five appended papers devoted to modeling tasks where the desired models are learned from data sets with an underlying time series structure. We develop a statistical methodology for providing efficient estimators and analyzing their non-asymptotic behavior. LÄS MER
2. Wavelet Analysis of Economic Time Series
Sammanfattning : Economic theory commonly distinguishes between different time horizons such as the short run and the long run. Models with many time horizons are easily studied in the frequency domain, because the various time horizons are associated with a particular frequency or band of frequencies. LÄS MER
3. Modelling macroeconomic time series with smooth transition autoregressions
Sammanfattning : Among the parametric nonlinear time series model families, the smooth transition regression (STR) model has recently received attention in the literature. The considerations in this dissertation focus on the univariate special case of this model, the smooth transition autoregression (STAR) model, although large parts of the discussion can be easily generalised to the more general STR case. LÄS MER
4. Essays on nonlinear time series modelling och hypothesis testing
Sammanfattning : There seems to be a common understanding nowadays that the economy is nonlinear. Economic theory suggests features that can not be incorporated into linear frameworks, and over the decades a solid body of empirical evidence of nonlinearities in economic time series has been gathered. LÄS MER
5. Validation and time series analysis of global stratospheric data sets
Sammanfattning : The depletion of ozone from the stratosphere and the impact of global warming have been identified as phenomena caused as a result of anthropogenic activity. Scientists are thus trying to find quicker and more reliable ways to analyse these environmental problems. LÄS MER