Statistical Models and Time Series Models
Statistical Models for Querying and Managing Time-Series Data
... various statistical measures in Chapter ...of statistical measures in Section 3.5. Statistical time-series models for efficiently creating probabilistic databases are presented ...
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Statistical analysis of some financial time series models
... a time series plot of the S&P 500 as well as the risk neutral densities estimated with our NIG approximation for two dates, using three month contracts in March 2000 and August ...
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3 Time Series Models
... suitable models for fitting the average monthly temperature data of Jerusalem in Palestine for the period from January 1964 to December ...ent statistical measures, comparison efficiency between ARIMA(2, 0, ...
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Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers
... arrival series, we can also draw some more general ...lower statistical losses than most individual ...the statistical evaluation of models indicates that second–moment modeling, and not only ...
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Time series models of GDP: a reappraisal
... state-switching statistical repre- sentations,such as Markov-switching ...non-linear time series models of real GDP on the basis of the consideration that business-cycle features themselves ...
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Comparing Models for Time Series Analysis
... the statistical researcher Spyros ...the models can be judged accurately regardless of which domain the model is applied ...business time series category of the ...created models and ...
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Graphical Models in Time Series Analysis
... graphical models can be traced back to the beginning of the century when Gibbs (1902) used local neighbourhood relationships to describe the interactions in large systems of ...graphical models for ...
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Orbital Priors for Time-Series Models
... invariant statistical procedures are optimal in any sense but in fact there is a large statistics literature that demonstrates superiority of invariant statistical procedures applied to invariant ...
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The Autoregressive metric for comparing time series models
... respect, statistical literature includes a number of proposals in order to solve such ...among time series, such ideas generated different measures mainly aimed at solving the peculiar problem at ...
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Regression Models for Binary Time Series with Gaps
... Abstract Time series of discrete random variables present unique statistical challenges due to serial correlation and uneven sampling ...regression models for a series of counts are ...
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Application of Time Series Models for Streamflow Forecasting
... the models, one month ahead forecasts were generated for the testing period from January 2004 to December ...both time series models are compared with each other by using statistical ...
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Factor models in high-dimensional time series
... High-dimensional time series may well be the most common type of dataset in the so- called “big data” revolution, and have entered current practice in many areas, including meteorology, genomics, ...
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Univariate Time Series Models For Fuel Price
... ETHOD Time series data occur frequently in many real world ...a time series data currently exist the selection of correct statistical model for the ...for time series with ...
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Forecasting Models. Time Series Models
... Time Series Models When we build a time series model, we are letting the passage of time act as a surrogate for whatever is really causing the behavior of the ...of time ...
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Time-Series Models in Marketing
... the time between two purchases), and count data ...is time-series data, where these concern, for example, sales per week, market shares per month, the price evolution over the last few years, or ...
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Hysteretic autoregressive time series models
... Tong (2005). Due to its piecewise linear nature, the threshold model can mimic nonlinear fea- tures such as resonance, limit cycles and time-irreversibility, and it is also easy to fit numerically. Tong (1990) ...
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Regression Models for Time Series Analysis
... Observed and predicted weekly filtered total mortality from Model 4... Part II: Binary Time Series[r] ...
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Mandelbrot's stochastic time series models
... one-dimensional time series models of the previous sections, to macroscopic fields, for which examples might be a global circulation model or spatial data from a geostation- ary observation ...have ...
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Orbital Priors for Time Series Models
... Priors designed on the basis of invariance principles are especially useful in the context of economic time–series models. The reason is that implementing such priors does not require the ...
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Graphical Models for Multivariate Time Series
... In other word, correlation data provide moment constraints on the ma- tricial power spectrum of a graphical model. When the topology of the graph has been estimated [1], the conditional independence features impose ...
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