Bayesian updates using precursor events
Article Abstract:
Rsearch was conducted on the use of Bayes' Equation to maketechnological forecasts using precursor events quantitative rather than qualitative in nature. Via Bayesian updating, historical data on lag times are used to generate probability distributions which eventually provide quantitative estimates of the likelihoood of different lag times. Bayesian updating can be used in the broader task of priming forecasts using sequences of precursors. It provides a systematic method for integrating new and old data.
Publication Name: Technological Forecasting & Social Change
Subject: Social sciences
ISSN: 0040-1625
Year: 1993
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Boom time in forecasting
Article Abstract:
The increasing interest by trade associations, corporations and governments in the future has contributed to enhanced forecasting activities. Business organizations, which previously held technical forecasting in low esteem, have renewed their interest in technological forecasting as a means of clarifying their strategic objectives. One of the most important development in forecasting is the shift from too much focus on technical accuracy to the effective communication of the message.
Publication Name: Technological Forecasting & Social Change
Subject: Social sciences
ISSN: 0040-1625
Year: 1999
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Thirty years of change and stability
Article Abstract:
The passage of three decades since 1969 has seen minimal changes in the methodologies used in technological forecasting. The four major classifications of forecasting continue to be extrapolation, leading indicators, causal models and stochastic methods with much of the innovations coming in the form of better computer hardware and software. As of 1999, the major developments in technological forecasting techniques have been in the use of stochastic models.
Publication Name: Technological Forecasting & Social Change
Subject: Social sciences
ISSN: 0040-1625
Year: 1999
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