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Science, 2016
Police are turning to big data to stop crime before it happens. But is predictive policing biased—and does it even work?
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Police are turning to big data to stop crime before it happens. But is predictive policing biased—and does it even work?
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2011
Suggested Citation: Armstrong, J.S., Green, K.C. and Graefe, A. "Forecasting Principles." In International Encyclopedia of Statistical Science (Ed. M. Lovric). Springer, 2011.
Armstrong, J. Scott +2 more
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Suggested Citation: Armstrong, J.S., Green, K.C. and Graefe, A. "Forecasting Principles." In International Encyclopedia of Statistical Science (Ed. M. Lovric). Springer, 2011.
Armstrong, J. Scott +2 more
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Forecasting Inflation Forecast Errors [PDF]
, 2008 We evaluate inflation forecasts from the Survey of Professional Forecasters (SPF) of the Central Bank of Chile. Forecast errors for the period 2000-2008 show an excess of autocorrelation and a statistically significant bias at the end of the sample. We take advantage of the autocorrelation structure of the forecast errors to build new and more accurate
Andrea Betancor, Pablo Pincheira
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Climacteric, 2015
Recent epidemiological studies from various countries point at the mounting incidence of cancer. This continuous increase in the number of cancer cases will keep its pace in the future. The lifetime risk of cancer for people born since 1960 is forecast to be more than 50%.
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Recent epidemiological studies from various countries point at the mounting incidence of cancer. This continuous increase in the number of cancer cases will keep its pace in the future. The lifetime risk of cancer for people born since 1960 is forecast to be more than 50%.
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Microfounded Forecasting [PDF]
, 2014 In this paper, we propose a microfounded framework to investigate a panel of forecasts (e.g. model-driven or survey-based) and the possibility to improve their out-of-sample forecast performance by employing a bias-correction device. Following Patton and Timmermann (2007), we theoretically justify the modeling of forecasts as function of the ...
Gaglianone, Wagner Piazza +1 more
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2009
Schon seit mehreren Jahrzehnten wird bei meisten Unternehmen Performance Tuning von Rechnersystemen betrieben. Dieses Thema wurde wie von der Seite der Unternehmen als auch von der Wissenschaft mittlerweile in zahlreichen unterschiedlichen Aspekten erforscht und ausgearbeitet.
Tropmann-Frick, Marina +2 more
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Schon seit mehreren Jahrzehnten wird bei meisten Unternehmen Performance Tuning von Rechnersystemen betrieben. Dieses Thema wurde wie von der Seite der Unternehmen als auch von der Wissenschaft mittlerweile in zahlreichen unterschiedlichen Aspekten erforscht und ausgearbeitet.
Tropmann-Frick, Marina +2 more
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Science
“AI-Powered Forecasting” was recently on the cover of Science , highlighting a new deep learning model for much faster and more accurate weather forecasting. Known as GraphCast, it outperformed the gold-standard system and had an accuracy of 99.7% for
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“AI-Powered Forecasting” was recently on the cover of Science , highlighting a new deep learning model for much faster and more accurate weather forecasting. Known as GraphCast, it outperformed the gold-standard system and had an accuracy of 99.7% for
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2018
Vu l’influence que les anticipations des agents économiques exercent sur de grandes variables macroéconomiques, on peut s’étonner du très petit nombre d’études qui ont tenté d’extrapoler les « véritables » anticipations des agents directement à partir des données.
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Vu l’influence que les anticipations des agents économiques exercent sur de grandes variables macroéconomiques, on peut s’étonner du très petit nombre d’études qui ont tenté d’extrapoler les « véritables » anticipations des agents directement à partir des données.
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An Experimental Review on Deep Learning Architectures for Time Series Forecasting
International Journal of Neural Systems, 2021Pedro Lara-Benítez +2 more
exaly