Sentence examples for forecasting of events from inspiring English sources
(6)–(12), we demonstrate the forecasting of events B7 B11.
This probability of field token value in presence of all values can also be calculated as a posterior probability value based on prior, likelihood of the value given the news reports about the event and the prior probability of occurrence of event in the reports as described in the context of combination and calibration of methods for the purpose of forecasting of events appearing in [133].
The work is on various topics such as daily life, astronomy, astrology and forecasting of events based on the Indian calendar (panchanga phala), sculpture, construction of buildings (vastu vichara) and reservoirs (udakargala), omens, divination of water, preparation of medicine from herbs and plants (vrikshayurveda), general medicine (vaidya), perfumery, cookery and toxicology (vishavaidya).
Figure 8 shows the modeled sequences selected from group 1 and group 2 by evaluating σ 6 j using Eq. (6) for the forecasting of event B7.
In comparison with the forecasts obtained by group 1 and group 2, forecasts of events B9 and B10 are improved, and those for the others differ little.
Therefore, PST-A-3 proves to be a valuable system for local authorities, in order to provide a contribution to risk management but also for the forecasting of landslide events, as testified by two case studies selected.
Finally, the promising new development of the forecasting of extreme events is discussed as well.
Fortune-telling, the forecasting of future events or the delineation of character by methods not ordinarily considered to have a rational basis.
Finally, I will present an approach to open-domain forecasting of uncertain events (elections, awards, etc…) by extracting and aggregating users' predictions on the web.
All these processes raise research questions that must be addressed to improve the meteorological forecasting of extreme events, as well as climate model predictions.
In this paper we intend to assess the usefulness of open source data for the forecasting of societal events.
