Dear Mohamed,
I went over the paper you suggested and some other material, but I
nowhere found an exact description about what happens during model
averaging when the models have different number of parameters. Do we
consider lacking ones zero?
If you could suggest any references on this, it would be extremely
helpful to me.
Thank you,
Mihály
2011/3/31 Mohamed Seghier <[log in to unmask]>:
>
> Dear Mihaly,
>
> You can try BMA (Bayesian Model Averaging; see Penny et al. PLoS Comp Biol
> 2010). Basically, because the posterior densities of your connectivity
> parameters are conditional on the selected models, BMA weights the
> contribution of each model to the mean by its evidence.
> BMA is available in the BMS menu...
>
> I hope this helps,
>
> Mohamed
>
>
> On 31/03/2011 10:30, Bányai Mihály wrote:
>>
>> Dear SPMers,
>>
>> my earlier question might have slipped the attention of the one's
>> knowing the answer, if you can, please point me to the direction I can
>> find an answer to it:
>>
>> is there a proper way to average DCMs with different connection
>> patterns (same areas and data, of course)? DCM8 doesn't do that and I
>> don't see such a solution in the DCM10 changelog either. Is there a
>> mathematically consistent way to do so at all?
>>
>> Thanks for the help,
>> Mihály Bányai
>>
>>
>
>
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