[教程] SAS_STAT9.2 User’s Guide, Second Edition The MCMC Procedure

建不了的模。

Chapter 52 5 _) i( I- `2 HTheMCMCProcedure Contents 5 ?% L" M7 s3 r# M% }1 a6 v- \Overview:MCMCProcedure ............................ 3478 PROCMCMCComparedwithOtherSASProcedures ............3479 8 }; f8 G$ X& t( S6 B* u# SGettingStarted:MCMCProcedure .......................... 3479 3 S) o4 v% l0 s! K1 X5 HSimpleLinearRegression ...........................3480 TheBehrens-FisherProblem ..........................3488 Mixed-EffectsModel .............................3492 & @! Q, x0 J& D+ w8 zSyntax:MCMCProcedure .............................. 3495 # h: W0 K8 R6 k& P# \" ]6 q$ ZPROCMCMCStatement ...........................3496 ARRAYStatement ...............................3508 ) Y) `1 R: _" s( WBEGINCNST/ENDCNSTStatement .....................3509 / V# b+ A7 ?% D+ N5 a- _BEGINNODATA/ENDNODATAStatements .................3511 % k4 n( n' O- i4 y4 M) g, O% mBYStatement .................................3511 MODELStatement ...............................3512 PARMSStatement ...............................3515 PRIOR/HYPERPRIORStatement .......................3516 6 T2 ]$ [# ~5 F# [ProgrammingStatements ...........................3516 ; M" q, t" x/ t% r5 |UDSStatement .................................3518 $ `+ Q: K2 {* k( ?Details:MCMCProcedure .............................. 3522 HowPROCMCMCWorks ..........................3522 9 I! [0 w: H, I/ ^( sBlockingofParameters ............................3523 Samplers ....................................3524 1 g8 I1 o$ ^, v+ x$ B& P3 K2 r( r* e( sTuningtheProposalDistribution .......................3525 * D* g( U4 W+ g, n+ BInitialValuesoftheMarkovChains ......................3528 AssignmentsofParameters ..........................3528 - B3 D6 g5 s! s. Z" sStandardDistributions .............................3530 : U& ?, i5 Z* o8 k6 N  `SpecifyingaNewDistribution .........................3541 0 s5 M1 U  d5 eUsingDensityFunctionsintheProgrammingStatements ...........3542 TruncationandCensoring ...........................3544 # B9 \& f/ f0 _# I7 _! ZMultivariateDensityFunctions ........................3546 SomeUsefulSASFunctions ..........................3549 MatrixFunctionsinPROCMCMC ......................3551 0 r" F7 s) R% b$ T1 s) G, i7 EModelingJointLikelihood ...........................3556 7 e, [: K3 t0 n3 j* QRegeneratingDiagnosticsPlots ........................3557 PosteriorPredictiveDistribution ........................3560 HandlingofMissingData ...........................3565 FloatingPointErrorsandOverflows ......................3565   t0 `2 V2 l$ x6 I3 GHandlingErrorMessages ...........................3568 ComputationalResources ...........................3570 DisplayedOutput ................................3571 3 C* g; p  v3 o7 k0 G8 P: SODSTableNames ...............................3575 ODSGraphics .................................3577 Examples:MCMCProcedure ............................ 3578 Example52.1:SimulatingSamplesFromaKnownDensity .........3578 Example52.2:Box-CoxTransformation ...................3583 6 C3 Q6 \4 P) MExample52.3:GeneralizedLinearModels ..................3592 , n4 p+ |$ X0 H7 h/ }, ~; s0 iExample52.4:NonlinearPoissonRegressionModels ............3605 Example52.5:Random-EffectsModels ...................3614 6 E5 l" Q5 Q& q/ o6 s! }Example52.6:ChangePointModels .....................3630 ; j% i. L+ C3 U) G( ?Example52.7:ExponentialandWeibullSurvivalAnalysis ..........3634 Example52.8:CoxModels ..........................3647 " P# l- T7 n' Y; W9 Y# _; h  MExample52.9:NormalRegressionwithIntervalCensoring .........3664 . }2 l: a' n' e: t8 BExample52.10:ConstrainedAnalysis ....................3666 8 Y/ d0 x' Q; SExample52.11:ImplementaNewSamplingAlgorithm ...........3672 Example52.12:UsingaTransformationtoImproveMixing .........3683 6 H1 K6 W8 Y7 T, s' e% EExample52.13:Gelman-RubinDiagnostics .................3693 References ...................................... 3700 游客，如果您要查看本帖隐藏内容请回复

, O0 h. @- N2 b4 r+ B6 n9 _

tbob228

谢谢好人一枚
/ [; Y: R/ T  }. s! i5 f' Y3 r

w785485068

支持了。。。。。。。

破碎的风

不错不错！
& N/ R8 W8 K$ h4 n# l

本世界的大人

谢谢分享，学习学习。。。。