Displaying 2 results from an estimated 2 matches for "rosspjchapman".
2017 Jul 13
0
bnlearn and cpquery
...network from are sparse and you
are using maximum likelihood estimates. You should either 1) use simpler
networks for which you can estimate all conditional distributions from the
data or 2) use posterior estimates for the parameters.
Cheers,
Marco
On 13 July 2017 at 06:29, Ross Chapman <rosspjchapman at gmail.com> wrote:
> Hi all
>
>
>
> I have built a Bayesian network using discrete data using the bnlearn
> package.
>
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> When I try to run the cpquery function on this data it returns NaN for some
> some cases.
>
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> Running the cpquery in de...
2017 Jul 13
2
bnlearn and cpquery
Hi all
I have built a Bayesian network using discrete data using the bnlearn
package.
When I try to run the cpquery function on this data it returns NaN for some
some cases.
Running the cpquery in debug mode for such a case (n=10^5, method="lw")
creates the following output:
generated a grand total of 1e+05 samples.
> event has a probability mass of 14982.37 out of