文件名称:fitting-model
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要对单变量正态分布以及分类分布两种概率分布 模型，分别采用最大似然（ML），最大后验（MAP）以及贝叶斯估计（Bayes）的 方法进行概率密度估计。 -In this paper, the maximum likelihood (ML), maximum a posteriori (MAP) and Bayesian estimation (Bayes) methods are used to estimate the probability density of two kinds of probability distribution models of univariate normal distribution and categorical distribution.
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fitting model\FittingProbDist\.vs\FittingProbDist\v14\.suo
.............\...............\Debug\FittingProbDist.exe
.............\...............\.....\FittingProbDist.ilk
.............\...............\.....\FittingProbDist.pdb
.............\...............\FittingProbDist\CatDistBayes.cpp
.............\...............\...............\CatDistBayes.h
.............\...............\...............\CatDistMAP.cpp
.............\...............\...............\CatDistMAP.h
.............\...............\...............\CatDistML.cpp
.............\...............\...............\CatDistML.h
.............\...............\...............\Debug\CatDistBayes.obj
.............\...............\...............\.....\CatDistMAP.obj
.............\...............\...............\.....\CatDistML.obj
.............\...............\...............\.....\FittingProbDist.log
.............\...............\...............\.....\................tlog\CL.read.1.tlog
.............\...............\...............\.....\....................\CL.write.1.tlog
.............\...............\...............\.....\....................\FittingProbDist.lastbuildstate
.............\...............\...............\.....\....................\link.read.1.tlog
.............\...............\...............\.....\....................\link.write.1.tlog
.............\...............\...............\.....\main.obj
.............\...............\...............\.....\NormalDist.obj
.............\...............\...............\.....\NormalDistBayes.obj
.............\...............\...............\.....\NormalDistMAP.obj
.............\...............\...............\.....\NormalDistML.obj
.............\...............\...............\.....\NormDistBayes.obj
.............\...............\...............\.....\NormDistMAP.obj
.............\...............\...............\.....\NormDistML.obj
.............\...............\...............\.....\vc140.idb
.............\...............\...............\.....\vc140.pdb
.............\...............\...............\FittingProbDist.vcxproj
.............\...............\...............\FittingProbDist.vcxproj.filters
.............\...............\...............\FittingProbDist.vcxproj.user
.............\...............\...............\main.cpp
.............\...............\...............\NormDistBayes.cpp
.............\...............\...............\NormDistBayes.h
.............\...............\...............\NormDistMAP.cpp
.............\...............\...............\NormDistMAP.h
.............\...............\...............\NormDistML.cpp
.............\...............\...............\NormDistML.h
.............\...............\FittingProbDist.sdf
.............\...............\FittingProbDist.sln
.............\...............\FittingProbDist.VC.db
.............\拟合概率模型.rar
.............\FittingProbDist\.vs\FittingProbDist\v14
.............\...............\FittingProbDist\Debug\FittingProbDist.tlog
.............\...............\.vs\FittingProbDist
.............\...............\FittingProbDist\Debug
.............\...............\.vs
.............\...............\Debug
.............\...............\FittingProbDist
.............\FittingProbDist
fitting model
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