Sentence examples for aggregate forecasts from inspiring English sources

Exact(2)

Recently, there has been substantial research on the augmentation of aggregate forecasts with individual consumer data from internet platforms, such as search traffic or social network shares.

Third, while aggregating a bunch of polls for each election reduces the variance, it does not eliminate the bias, so these overconfident predictions pose a problem for aggregate forecasts as well.

Similar(58)

"Everyone can make forecasts but not all of those forecasts are included in our models and each forecast may have a different weight," says Warnaar. "You would therefore have to be a consistently good forecaster to be able to influence the aggregate forecast with a rogue prediction, but even then your forecast must be consistent with your previous pattern".

Thomson tallies the earnings forecasts of around 7,000 analysts at big brokerage firms, boutique firms and independent shops, and combines them into an aggregate forecast for the Standard & Poor's 500-stock index.

Subsequent chapters cover, among other topics, the theories of individual choice behavior, binary and multinomial choice models, aggregate forecasting techniques, estimation methods, tests used in the process of model development, sampling theory, the nested-logit model, and systems of models.

We have chosen not to smooth out the empirical curves and replace them by artificial rates, since, on account precisely of the small number of vehicles affected, the potential aggregate forecasting error is quite limited.

The country allocation is based on such factors as interest rates, stock market volatility and aggregate earnings forecasts.

We aggregate their forecast values by giving each forecaster equal weight.

Clinton's evening started with decent-looking early returns, but things quickly went south, starting in Florida, which the HuffPost Pollster poll aggregate and forecast model thought would go toward Clinton.

Our approach is to employ an ensemble of forecasters and aggregate their combined forecasting power to provide a better forecast for (X_i) (as shown in Fig. 4).

-Matthew Dickinson compares the results of polling aggregates against forecast models.

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