디리클레 분포(Dirichlet Distribution)

deejayosamu·2025년 7월 9일

여러가지 분포

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디리클레 분포는 일반화된 베타 분포이다.
베타 분포 유도 과정

  • pdf of Dirichlet dist.

    fY1,...Yk(y1,...,yk)=Γ(α1+...+αk+1)Γ(α1)...Γ(αk+1)y1α11...ykαk1(1y1...yk)αk+11f_{Y_1,...Y_k} (y_1,...,y_k) = \frac{\Gamma(\alpha_1 + ... + \alpha_{k+1})}{\Gamma(\alpha_1)...\Gamma(\alpha_{k+1})} y_1^{\alpha_1 - 1}...y_k^{\alpha_k - 1}(1-y_1...-y_k)^{\alpha_{k+1} - 1}
    0<yi<1(i=1,...,k)0<y_i<1(i=1,...,k) with y1+...+yk<1y_1+...+y_k<1
    αi>0(i=1,...,k+1)\alpha_i>0(i=1,...,k+1)

    (Y1,...,Yk)Dirichlet(α1,α2,...,αk+1)(Y_1,...,Y_k) \sim Dirichlet(\alpha_1, \alpha_2, ..., \alpha_{k+1})

유도 과정

trivariate case)
XiGamma(αi,β),i=1,2,3X_i \sim Gamma( \alpha_i, \beta),i=1,2,3 and X1,X2,X3:indep.X_1,X_2,X_3: indep.
Let Y1=X1X1+X2+X3,Y2=X2X1+X2+X3,Y3=X1+X2+X3Y_1 = \frac{X_1}{X_1+X_2+X_3},Y_2 = \frac{X_2}{X_1+X_2+X_3}, Y_3 = X_1+X_2+X_3

X1=Y1Y3, X2=Y2Y3, X3=Y3(1Y1Y2)X_1=Y_1 Y_3,\space X_2=Y_2Y_3, \space X_3=Y_3(1-Y_1-Y_2)
J=y30y10y3y2y3y3(1y1y2)=y32=JJ= \begin{vmatrix} y_3 & 0 & y_1 \\ 0 & y_3 & y_2 \\ -y_3 & -y_3 & (1-y_1-y_2) \\ \end{vmatrix} = y_3^2=|J|

  • support of (Y1,Y2,Y3)(Y_1,Y_2,Y_3)
    0<y1y30<y_1 y_3, 0<y2y30<y_2 y_3, 0<y3(1y1y2)0<y_3(1-y_1-y_2)
    => 0<y1+y2<1, y1>0, y2>0, y3>00 < y_1 + y_2 < 1, \space y_1>0, \space y_2>0, \space y_3>0

  • pdf of (Y1,Y2,Y3)(Y_1,Y_2,Y_3)
    fX1,X2,X3(x1,x2,x3)=1Γ(α1)Γ(α2)Γ(α3)βα1+α2+α3x1α11x2α21x3α31ex1+x2+x3βf_{X_1,X_2,X_3} (x_1,x_2,x_3) = \\ \frac{1}{\Gamma(\alpha_1) \Gamma(\alpha_2) \Gamma(\alpha_3) \beta^{\alpha_1 + \alpha_2 + \alpha_3}} x_1^{\alpha_1-1} x_2^{\alpha_2-1} x_3^{\alpha_3-1} e^{-\frac{x_1+x_2+x_3}{\beta}}

    fY1,Y2,Y3(y1,y2,y3)=y32Γ(α1)Γ(α2)Γ(α3)βα1+α2+α3(y1y3)α11(y2y3)α21(y3(1y1y2))α31ey3β=Γ(α1+α2+α3)Γ(α1)Γ(α2)Γ(α3)y1α11y2α21(1y1y2)α311Γ(α1+α2+α3)βα1+α2+α3y3α1+α2+α31ey3βf_{Y_1,Y_2,Y_3} (y_1,y_2,y_3) = \\ \frac{y_3^2}{\Gamma(\alpha_1) \Gamma(\alpha_2) \Gamma(\alpha_3) \beta^{\alpha_1 + \alpha_2 + \alpha_3}} (y_1y_3)^{\alpha_1 - 1} (y_2y_3)^{\alpha_2 - 1} (y_3(1-y_1-y_2))^{\alpha_3-1} e^{-\frac{y_3}{\beta}} = \\ \frac{\Gamma(\alpha_1 + \alpha_2 + \alpha_3)}{\Gamma(\alpha_1) \Gamma(\alpha_2) \Gamma(\alpha_3)} y_1^{\alpha_1 - 1} y_2^{\alpha_2 - 1} (1- y_1 - y_2)^{\alpha_3-1} \frac{1}{\Gamma(\alpha_1 + \alpha_2 + \alpha_3) \beta^{\alpha_1 + \alpha_2 + \alpha_3}} y_3^{\alpha_1 + \alpha_2 + \alpha_3 - 1} e^{-\frac{y_3}{\beta}}
    => (Y1,Y2) and Y3:indep.(Y_1,Y_2) \space and \space Y_3: indep.

    fY1,Y2(y1,y2)=Γ(α1+α2+α3)Γ(α1)Γ(α2)Γ(α3)y1α11y2α21(1y1y2)α31f_{Y_1,Y_2} (y_1,y_2) = \frac{\Gamma(\alpha_1 + \alpha_2 + \alpha_3)}{\Gamma(\alpha_1) \Gamma(\alpha_2) \Gamma(\alpha_3)} y_1^{\alpha_1 - 1} y_2^{\alpha_2 - 1} (1- y_1 - y_2)^{\alpha_3-1}
    => (Y1,Y2)Dirichlet(α1,α2,α3)(Y_1,Y_2) \sim Dirichlet(\alpha_1,\alpha_2,\alpha_3)

    fY3(y3)=1Γ(α1+α2+α3)βα1+α2+α3y3α1+α2+α31ey3βf_{Y_3} (y_3) = \frac{1}{\Gamma(\alpha_1 + \alpha_2 + \alpha_3) \beta^{\alpha_1 + \alpha_2 + \alpha_3}} y_3^{\alpha_1 + \alpha_2 + \alpha_3 - 1} e^{-\frac{y_3}{\beta}}
    => Y3Gamma(α1+α2+α3,β)Y_3 \sim Gamma(\alpha_1 + \alpha_2 + \alpha_3, \beta)

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