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From: Lucas Wall on 4 Aug 2010 09:25 Hello: I am new to matlab and I would like to get some help on choosing a tool to predict events. I have a number of subjects for which I know which of four events occurred in the past. I have some indicators that believe help in explaining when those subjects go through any of the four events. I would like to know which tool to use to create a predicting model that would give me probabilities for each event. I tried mnrfit and the indicators are statistically sound. Can I use the betas to predict those events? Any other model would work better? Thanks. Example: Event Observations Subject | EventA | EventB | EventC | EventD ABC | Yes | No | No | No DEF | No | Yes | No | No GHI | No | No | No | Yes Indicators Subject | Indicator1 | Indicator2 | Indicator3 ABC | 100 | 25 | 34 DEF | 21 | 110 | 80 GHI | 34 | 23 | 98 Which model can be used that can help predict probabilities of other subjects going through event A, B, C, or D?
From: Adam Chapman on 4 Aug 2010 11:02 On Aug 4, 2:25 pm, "Lucas Wall" <wallllu...(a)hotmail.com> wrote: > Hello: > > I am new to matlab and I would like to get some help on choosing a tool to predict events. I have a number of subjects for which I know which of four events occurred in the past. I have some indicators that believe help in explaining when those subjects go through any of the four events. I would like to know which tool to use to create a predicting model that would give me probabilities for each event. I tried mnrfit and the indicators are statistically sound. Can I use the betas to predict those events? Any other model would work better? > > Thanks. > > Example: > > Event Observations > Subject | EventA | EventB | EventC | EventD > ABC | Yes | No | No | No > DEF | No | Yes | No | No > GHI | No | No | No | Yes > > Indicators > Subject | Indicator1 | Indicator2 | Indicator3 > ABC | 100 | 25 | 34 > DEF | 21 | 110 | 80 > GHI | 34 | 23 | 98 > > Which model can be used that can help predict probabilities of other subjects going through event A, B, C, or D? If you have a large amount of example data, try using a neural net. They're interesting.
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