Ted To theo.to> writes:
>
> On 07/05/2011 11:07 AM, josef.pktd gmail.com wrote:
> > For example sample x>=U and then sample y>=u-x. That's two univariate
> > normal samples.
>
> Ah, that's what I was looking for! Many thanks!
>
You need to be careful, though - if you just sample x|x>=u and
On Tue, Jul 5, 2011 at 12:26 PM, Ted To wrote:
> On 07/05/2011 11:07 AM, josef.p...@gmail.com wrote:
>> For example sample x>=U and then sample y>=u-x. That's two univariate
>> normal samples.
>
> Ah, that's what I was looking for! Many thanks!
just in case I wasn't clear, if x and y are correla
On 07/05/2011 11:07 AM, josef.p...@gmail.com wrote:
> For example sample x>=U and then sample y>=u-x. That's two univariate
> normal samples.
Ah, that's what I was looking for! Many thanks!
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ht
On Tue, Jul 5, 2011 at 10:33 AM, Ted To wrote:
> On 07/05/2011 10:17 AM, josef.p...@gmail.com wrote:
>> On Mon, Jul 4, 2011 at 10:13 PM, Ted To wrote:
>>> Hi,
>>>
>>> Is there an easy way to make random draws from a conditional random
>>> variable? E.g., draw a random variable, x conditional on
On 07/05/2011 10:17 AM, josef.p...@gmail.com wrote:
> On Mon, Jul 4, 2011 at 10:13 PM, Ted To wrote:
>> Hi,
>>
>> Is there an easy way to make random draws from a conditional random
>> variable? E.g., draw a random variable, x conditional on x>=\bar x.
>
> If you mean here truncated distribution
On Mon, Jul 4, 2011 at 10:13 PM, Ted To wrote:
> Hi,
>
> Is there an easy way to make random draws from a conditional random
> variable? E.g., draw a random variable, x conditional on x>=\bar x.
If you mean here truncated distribution, then I asked a similar
question on the scipy user list a mon
Hi,
Is there an easy way to make random draws from a conditional random
variable? E.g., draw a random variable, x conditional on x>=\bar x.
Thank you,
Ted To
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