starting point for the AdvancedMH.RWMH

[zhen0z]

Hi,

I'd like to give the AdvancedMH.RWMH a starting point, and then random walk to find the solution, something like this:

initial_values = [2.0, 5.0, 3.5, 7.5, 1.0]
rwmh = AdvancedMH.RWMH(5)
external_sampler = externalsampler(rwmh)
chain = sample(model, external_sampler, MCMCDistributed(), 1, 1, initial=initial_values)

is it possible to achieve this? Thanks.

[torfjelde]

Yep! You can do this with the initial_params argument to sample:) So just do initial_params instead of initial and you should be good 👍

[zhen0z]

That's great, thanks for the advice! Tor Erlend Fjelde ***@***.***> 于2024年12月4日周三 18:47写道：

…

Yep! You can do this with the initial_params argument to sample:) So just do initial_params instead of initial and you should be good 👍 — Reply to this email directly, view it on GitHub <#104 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BIOR2URLIOKFD3QBJJGFZWD2D5E3ZAVCNFSM6AAAAABQPXRCBCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDKMJYGI3DINBVGM> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[torfjelde]

Is it okay if we close the issue then?:)

[zhen0z]

Absolutely, thanks! Tor Erlend Fjelde ***@***.***>于2024年12月5日 周四07:43写道：

…

Is it okay if we close the issue then?:) — Reply to this email directly, view it on GitHub <#104 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BIOR2UQLY2QAV7IVEXYSJVT2D77YLAVCNFSM6AAAAABQPXRCBCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDKMJZGQ3TQNBSGM> . You are receiving this because you authored the thread.Message ID: ***@***.***>