Error in time-series reproduction using the random factor model (dashed gray curve) and PCA (black solid curve) measured by RMSE (top panel), where curves are shown as functions of the number of factors. Error in reproduction of time-series volatility using the random factor model (dashed gray curve) and PCA (black solid curve) as a function of the number of factors (bottom panel). Errors are relative to the volatility of the time-series due to normalization.</p
A time series is a chronological sequence of observations on a particular variable. Usually the obse...
<p>The accuracy of the penalised spline model in estimating the average and time-dependent RMR deter...
Graphs of the performance of the accuracy (a) and the loss function (b) of the proposed model in eac...
Error in correlation coefficient reproduction (left panel) of the random data using the random facto...
The data is normalized to have zero average return, as describes in the text.</p
(A) Median error (solid gray curves; measured in percentage points) in correlation coefficient estim...
Median error (left panel; solid gray curves; measure in percentage points) in covariance in all pair...
<p>Predictive accuracy evaluated via the root mean square error (RMSE) of autoregressive integrated ...
In forecasting a financial time series, the mean prediction can be validated by direct comparison wi...
In forecasting a financial time series, the mean prediction can be validated by direct comparison wi...
In forecasting a ®nancial time series, the mean prediction can be validated by direct comparison wit...
Solid lines are median estimates, dashed lines the 25th and 75th percentiles. Error in correlation c...
<p>Estimated RMR time series by means of linear regression, TEE averaging for zero activity, Kalman ...
Accuracy difference of prediction in different periods among single model and TV-DMA model.</p
<p>Each of the six model-filter frameworks was run 5 times to simulate the historical ILI+ time seri...
A time series is a chronological sequence of observations on a particular variable. Usually the obse...
<p>The accuracy of the penalised spline model in estimating the average and time-dependent RMR deter...
Graphs of the performance of the accuracy (a) and the loss function (b) of the proposed model in eac...
Error in correlation coefficient reproduction (left panel) of the random data using the random facto...
The data is normalized to have zero average return, as describes in the text.</p
(A) Median error (solid gray curves; measured in percentage points) in correlation coefficient estim...
Median error (left panel; solid gray curves; measure in percentage points) in covariance in all pair...
<p>Predictive accuracy evaluated via the root mean square error (RMSE) of autoregressive integrated ...
In forecasting a financial time series, the mean prediction can be validated by direct comparison wi...
In forecasting a financial time series, the mean prediction can be validated by direct comparison wi...
In forecasting a ®nancial time series, the mean prediction can be validated by direct comparison wit...
Solid lines are median estimates, dashed lines the 25th and 75th percentiles. Error in correlation c...
<p>Estimated RMR time series by means of linear regression, TEE averaging for zero activity, Kalman ...
Accuracy difference of prediction in different periods among single model and TV-DMA model.</p
<p>Each of the six model-filter frameworks was run 5 times to simulate the historical ILI+ time seri...
A time series is a chronological sequence of observations on a particular variable. Usually the obse...
<p>The accuracy of the penalised spline model in estimating the average and time-dependent RMR deter...
Graphs of the performance of the accuracy (a) and the loss function (b) of the proposed model in eac...