Please share your opinion and let us know how to make better predictions for the following problems. Also how do you define better?
* Earthquake time and intensity forecasts
* Solar flares time and intensity forecasts
* Stock market prices for individual stocks or indexes, buy/sell signals
* Efficiency of new pharma drugs (in terms of sales, or in terms of health improvement)
* Weather forecasts in UK, the NorthWest or other challenging locales
* Bankruptcy prediction
* Econometric: how to predict the success of a new immigration policy, or a new tax regulation, or a new law to stop drug abuse or crime
* Asteroid collisions with earth
* Early detection of a pandemic
* Chance for a borrower to repay her loan
* Terrorist attacks
* Chance of a 5 or 10 or 20-year survival for a particular person
* Spam detection
* Bogus reviews detection
* Chance for an ad to result in a sale
* Risk of car accident within the next 12 months for a particular individual
* Chances of succeeding at University based on high school metrics
* Chances of succeeding in a job based on job interview metrics
* Chances of succeeding for a start-up, if you invested $10MM in the start-up in question
Best responses will be posted at http://www.analyticbridge.com/profiles/blogs/what-are-the-most-difficult-things-to-predict-among-these-19-chal (where the question was originally posted).
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
|