Dear Oscar,
Â
Thanks for your help.It's so nice of you to explain this package to me.
Â
Best Regards,
Â
James LAN
åä»¶äººï¼ Oscar Rueda [via R]
æ¶ä»¶äººï¼ monkeylan
å鿥æï¼ 2012å¹´2æ29æ¥, ææä¸, ä¸å 9:21
主é¢: Re: Bayesian Hidden Markov Models
Dear James,
6521 0.374412381
Gain    0.053064705 0.189481114 0.233947328 0.068592117 0.212423356
               Gain
Loss-1Â Â 0.101572465
Loss-2Â Â 0.077932083
Normal-1 0.041455335
Normal-2 0.002855048
Normal-3 0.030294113
Gain    0.242491380
åä»¶äººï¼ Oscar Rueda [via R]
æ¶ä»¶ä
Dear R buddies,
Recently, I attempt to model the US/RMB Exchange rate log-return time series
with a *Hidden Markov model (first order Markov Chain & mixed Normal
distributions). *
I have applied the RHmm package to accomplish this task, but the results are
not so satisfying.
So, I would like to t
--- 12å¹´2æ27æ¥ï¼å¨ä¸, Oscar Rueda [via R]
åéï¼
å件人: Oscar Rueda [via R]
主é¢: Re: Bayesian Hidden Markov Models
æ¶ä»¶äºº: "monkeylan"
æ¥æ: 2012å¹´2æ27æ¥,å¨ä¸,ä¸å6:05
Dear James,
Although designed for the analysis of copy number CGH microarrays, RJ
¶ä»¶äºº: "monkeylan"
æ¥æ: 2012å¹´2æ27æ¥,å¨ä¸,ä¸å6:05
Dear James,
Although designed for the analysis of copy number CGH microarrays, RJaCGH
uses a Bayesian HMM model.
Cheers,
Oscar
On 27/2/12 08:32, "monkeylan" <[hidden email]> wrote:
> Dear
her help and time.
Â
James Allan
--- 12å¹´2æ28æ¥ï¼å¨äº, Oscar Rueda [via R]
åéï¼
å件人: Oscar Rueda [via R]
主é¢: Re: Bayesian Hidden Markov Models
æ¶ä»¶äºº: "monkeylan"
æ¥æ: 2012å¹´2æ28æ¥,å¨äº,ä¸å7:02
Dear James,
Basically you just need the value
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