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Organisationale Transformation - grenzenlos? : Struktur- und Prozeßmuster in der kollektiven Bewältigung von Unsicherheit

Klimecki, Rüdiger; Gmür, Markus - In: Gestaltung von Organisationsgrenzen, (pp. 235-270). 1997

Persistent link: https://www.econbiz.de/10001320677

Answering the Queen : machine learning and financial crises

Fouliard, Jeremy; Howell, Michael J.; Rey, Hélène - 2020

Persistent link: https://www.econbiz.de/10012424257

Ökonometrische Methoden und maschinelle Lernverfahren zur Wechselkursprognose : theoretische Analyse und empirischer Vergleich ; mit 124 Tabellen

Steurer, Elmar - 1997

Persistent link: https://www.econbiz.de/10000621229

A novel machine learning model for predicting late supplier deliveries of low-volume-high-variety products with application in a German machinery industry

Steinberg, Fabian; Burggräf, Peter; Wagner, Johannes; … - In: Supply chain analytics 1 (2023), pp. 1-13

Although Machine Learning (ML) in supply chain management (SCM) has become a popular topic, predictive uses of ML in SCM remain an understudied area. A specific area that needs further attention is the prediction of late deliveries by suppliers. Recent approaches showed promising results but...

Persistent link: https://www.econbiz.de/10014516298

Quantifying risk and uncertainty in macroeconomic forecasts

Knüppel, Malte (contributor); … - 2007

This paper discusses methods to quantify risk and uncertainty in macroeconomic forecasts. Both, parametric and non … macroeconometric model of the Bundesbank for Germany. Forecast intervals that integrate judgement on risk and uncertainty are obtained. …