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ベータ・ベルヌーイ分布(ゼミ資料)
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abikoushi
June 07, 2017
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ベータ・ベルヌーイ分布(ゼミ資料)
abikoushi
June 07, 2017
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Transcript
͡Ίʹ ඪ ඪ ࠓճग़͞Εͨ՝࣍ͷΑ͏ͳͷͰͨ͠. ֬Ϟσϧͱͯ͠ϕϧψʔΠ, ࣄલͱͯ͠ϕʔλΛߟ͑ͨ ͱ͖ͷ, ࣄޙ༧ଌΛܭࢉͤΑ. 1 /
26
͡Ίʹ ҙ 4 ͭͷ͕ग़ͯདྷΔͷͰͦΕΒΛ۠ผ͢Δ͜ͱ͕ඞཁͰ͢. • π(θ) : ࣄલʢprior distributionʣ. σʔλͷใΛೖΕΔલͷύ
ϥϝʔλͷ. • f(x|θ) : ֬ϞσϧʢʁʣͱݺͿ͜ͱʹ͠Α͏. ύϥϝʔλΛ༩͑ͨ ͱ͖ͷσʔλͷ. • f(θ|x) : ࣄޙʢposterior distributionʣ. σʔλͷใ͕ೖͬͨ ύϥϝʔλͷ. • f(˜ x|x) : ࣄޙ༧ଌʢposterior predicive distributionʣ. σʔλͷ ใ͕ೖͬͨσʔλͷ. check: ͖݅֬ͷఆٛେৎʁ 2 / 26
͡Ίʹ ҙ ύϥϝʔλͷͬͯͲ͏͍͏͜ͱʁ σʔλͷͱ͔͘, ύϥϝʔλͷͱͲ͏͍͏͜ͱͩͱࢥ͍ ·͔͢. ౷ܭֶͷॏཁͳతͷҰͭύϥϝʔλΛਪఆ͢Δ͜ͱͰ͢. Έͳ͞Μ͕͜Ε·Ͱʹश͖ͬͯͨ;ͭ͏ͷ౷ܭֶʢසʣͰ, ύϥ ϝʔλະ͕ͩఆͰ͋Δͱߟ͑·͢.
ࢲύϥϝʔλΛਪఆ͢Δ͜ͱ͕ͦ͜౷ܭֶͩͱࢥ͍ͬͯͨͷͰ, ͡ ΊͯʮϕΠζ౷ܭͰύϥϝʔλ͢Δʯͱฉ͍ͨͱ͖, ʮͦΜͳ ߟ͑ํΛ͢Δҙຯ͋Δͷʁʯͱࢥ͍·ͨ͠. ͔͠͠ҙຯ͋ͱճ͠ʹͯ͠, ·ͣ۩ମྫͰࣄޙΛܭࢉ͢Δ͜ͱ ʹ͠·͢. 3 / 26
ࣄޙ ࣄޙͷ࣮ݱ ࠓճ֬Ϟσϧͱͯ͠ϕϧψʔΠΛߟ͑·͢. f(x|θ) = θx(1 − θ)1−x. ͜͜Ͱ 0
≤ θ ≤ 1. x ∈ {0, 1}. ࣄલͱͯ͠ϕʔλΛߟ͑·͢. π(θ) = 1 B(α, β) θα−1(1 − θ)β−1. ͜͜Ͱ B(α, β) ϕʔλؔ. α > 0, β > 0. ࣄલͷύϥϝʔλ α, β ϋΠύʔύϥϝʔλͱݺΕ·͢. 4 / 26
ࣄޙ ࣄޙͷ࣮ݱ ϕΠζͷఆཧ ࣄޙͱࣄલͷੵʹൺྫ͢Δ͜ͱ͢Ͱʹश͍·ͨ͠. f(θ|x) ࣄޙ = 1 ∫ ∞
−∞ f(x|θ)π(θ) dθ ͜ͷੵ͕໘ × f(x|θ) × π(θ) ࣄલ (1) 5 / 26
ࣄޙ ࣄޙͷ࣮ݱ (1) ࣜͷͷੵΛܭࢉ͠·͢. ∫ ∞ −∞ f(x|θ)π(θ) dθ =
∫ 1 0 θx(1 − θ)1−x × 1 B(α, β) θα−1(1 − θ)β−1 dθ = 1 B(α, β) ∫ 1 0 θα+x−1(1 − θ)β+1−x−1 dθ (2) 6 / 26
ࣄޙ ࣄޙͷ࣮ݱ ֬ີؔશ۠ؒͰੵͨ͠Β 1 ʹͳΔͱ͍͏ੑ࣭Λ͏ͷ͕ί πͰ͢. ∫ 1 0 1
B(α, β) θα−1(1 − θ)β−1 dθ = 1, ΑΓ, ∫ 1 0 θα−1(1 − θ)β−1 dθ = B(α, β). (3) 7 / 26
ࣄޙ ࣄޙͷ࣮ݱ (3) ࣜΑΓ, (2) ࣜͷੵϕʔλؔʹͳΓ, ∫ ∞ −∞ f(x|θ)π(θ)
dθ = B(α + x, β + 1 − x) B(α, β) . ݁Ռ, ࣄޙϕΠζͷఆཧ (1) ࣜΑΓ, f(θ|x) = 1 B(α + x, β + 1 − x) θα+x−1(1 − θ)β+1−x−1. ͜Εϕʔλ. 8 / 26
ࣄޙ ࣄޙͷ࣮ݱ ͜͜·ͰͷܭࢉαϯϓϧαΠζ͕ 1 ͷͱ͖Λߟ͍͑ͯ·ͨ͠. ಉ͡ ϕϧψʔΠʹै͏ಠཱͳαϯϓϧ͕ n ͋ͬͨ߹, ಠཱͳαϯϓϧ
ͷ࣮ݱΛ x1, x2, . . . , xn ͱॻ͘ͱ, , ಠཱੑͷԾఆΑΓ͔͚ࢉ͢ Ε͍͍ͷͰ, θ ∑ n i=1 xi (1 − θ)n− ∑ n i=1 xi , ͱͳΓ, ·ͬͨ͘ಉ༷ͷܭࢉ͔Βࣄޙ, f(θ|x) = 1 B(α + ∑ n i=1 xi, β + n − ∑ n i=1 xi) × θα+ ∑ n i=1 xi−1(1 − θ)β+n− ∑ n i=1 xi−1. (4) Γϕʔλ. 9 / 26
ࣄޙ ͜͜·Ͱͷ·ͱΊ ͜͜·Ͱͷ·ͱΊ ֬Ϟσϧͱͯ͠ϕϧψʔΠ, ࣄલͱͯ͠ϕʔλΛߟ͑ͨ ͱ͖, ࣄޙϕʔλͱͳͬͨ. ͜ͷΑ͏ʹࣄલͱࣄޙ͕ಉ͡ϑΝϛϦʔʹͳΔࣄલΛ, ڞ ͳࣄલʢconjugate
priorʣͱݺͼ·͢. 10 / 26
ࣄޙ ͰݟΔࣄޙ ͰݟΔࣄޙ ࣄલͱͯ͠ α = 1, β = 1
ͷϕʔλΛԾఆ. 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 11 / 26
ࣄޙ ͰݟΔࣄޙ ͰݟΔࣄޙ αϯϓϧ x = 0 ͕ಘΒΕͨͱ͖. 0 पลͷີ͕େ͖͘
1 पลͷີ ͕খ͍͞. 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 12 / 26
ࣄޙ ͰݟΔࣄޙ ͰݟΔࣄޙ αϯϓϧ x = 0, 1 ͕ಘΒΕͨͱ͖. 0.0
0.2 0.4 0.6 0.8 1.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 13 / 26
ࣄޙ ͰݟΔࣄޙ ͰݟΔࣄޙ αϯϓϧ x = 0, 1, 0 ͕ಘΒΕͨͱ͖.
0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 14 / 26
ࣄޙ ͰݟΔࣄޙ ͰݟΔࣄޙ αϯϓϧ x = 0, 1, 0, 0
͕ಘΒΕͨͱ͖. 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 15 / 26
ࣄޙ ͰݟΔࣄޙ ͰݟΔࣄޙ αϯϓϧ x = 0, 1, 0, 0,
1 ͕ಘΒΕͨͱ͖. 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 16 / 26
ࣄޙ ͰݟΔࣄޙ ͰݟΔࣄޙ αϯϓϧ x = 0, 1, 0, 0,
1, 1, 0, 0, 1, 1 ͕ಘΒΕͨͱ͖. 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 17 / 26
ࣄޙ༧ଌ ࣄޙ༧ଌͷ࣮ݱ ࣄޙ༧ଌ ͯ͞,ʠ 0 ʡͱ͍͏σʔλ͕ಘΒΕͨͱ͖, ࣍ʹ 1 ͕ग़Δ͍֬͘Β Ͱ͠ΐ͏͔.
͜ΕύϥϝʔλͷͰͳ͘, σʔλͷΛߟ͑Δͱ͍͏͜ͱ Ͱ͢. 18 / 26
ࣄޙ༧ଌ ࣄޙ༧ଌͷ࣮ݱ ࣄޙ༧ଌࣄޙʹΑͬͯ֬ϞσϧΛฏۉͨ͠ͷͰ͢. f(˜ x|x) = ∫ ∞ −∞ f(˜
x|θ)f(θ|x) dθ. සʢ࠷ਪఆʣʹ͓͚Δ༧ଌ, ࠷ਪఆΛ֬Ϟσϧʹͦ ͷ··ೖͨ͠ͷͰ͢. ϕΠζ౷ܭͰύϥϝʔλ͕͢Δͱߟ͑ΔͷͰ, ύϥϝʔλͷग़ํ ʹԠͯ͡ॏΈΛ͚͍ͯ·͢. check: ฏۉͷఆٛେৎʁ 19 / 26
ࣄޙ༧ଌ ࣄޙ༧ଌͷ࣮ݱ ࣄޙϕʔλͰͨ͠. (4) ࣜͷ α + ∑ n i=1
xi Λ α∗, β + n − ∑ n i=1 xi Λ β∗ ͱ͋ΒͨΊͯஔ͘ͱ, f(˜ x|x) = ∫ ∞ −∞ f(˜ x|θ)f(θ|x) dθ = ∫ 1 0 1 B(α∗, β∗) θα∗+˜ x−1(1 − θ)β∗+1−˜ x−1 dθ = B(α∗ + ˜ x, β∗ + 1 − ˜ x) B(α∗, β∗) . ͜Ε͕ࣄޙ༧ଌ. 20 / 26
ࣄޙ༧ଌ ͰݟΔࣄޙ༧ଌ ͰݟΔࣄޙ༧ଌ ࣄલʹ α = 1, β = 1
ͷϕϧψʔΠΛԾఆ͠αϯϓϧ x = 0 ͕ ಘΒΕͨͱ͖. ʠ 0 ʡͱ͍͏σʔλ͔͠ͳͯ͘, ࣍ʹ 1 ͕ग़Δ֬Λ 0 ͱ༧ଌ͠·ͤΜ. 0 1 0.0 0.2 0.4 0.6 0.8 1.0 21 / 26
ࣄޙ༧ଌ ͰݟΔࣄޙ༧ଌ ͰݟΔࣄޙ༧ଌ αϯϓϧ x = 0, 0 ͕ಘΒΕͨͱ͖. 0
͕Կݸଓ͘ͱ࣍ʹ 1 ͕ग़Δ֬ ͷ༧ଌԼ͕͍͖ͬͯ·͢. 0 1 0.0 0.2 0.4 0.6 0.8 1.0 22 / 26
͓ΘΓʹ ͦΕͰΈͳ͞Μ͕Μͬͯ, ࣮ࡍʹίΠϯ͛ͨ͠σʔλ͔Βࣄޙ༧ ଌΛܭࢉͯ͠Έ͍ͯͩ͘͞. 23 / 26
͓ΘΓʹ Q & A Q:ڞͳࣄલΛ͏·͘Έ͚ͭΔ͜ͱ͕ϕΠζ౷ܭͷΩϞͳͷͰ ͠ΐ͏͔ʁ A:ͦ͏ͱݶΓ·ͤΜ. ڞͳࣄલܭࢉΛ͔ΜͨΜʹ͢ΔͨΊ ͷͷҰͭͰ͢. ֬ϞσϧʹΑͬͯڞͳࣄલ͕ଘࡏ͠ͳ͍͜
ͱ͋Γ·͢. ͷੵ͕खܭࢉͰ͍͠ͱ͖ʹࣄޙΛ࣮ݱ͢ Δํ๏, ੵ, ϥϓϥεۙࣅ, MCMC, มϕΠζͳͲ༷ʑͰ͢. 24 / 26
͓ΘΓʹ Q & A Q:ࣄલͱ͍͏ͷੳऀͷओ؍ܦݧΛө͍ͯ͠ΔͷͰ͠ΐ ͏͔ʁ A:ͦ͏ͱݶΓ·ͤΜ. ͨͱ͑ࣄલͱͯ͠Ұ༷ΛԾఆͨ͠ ߹, ʮύϥϝʔλ͕͜ͷ͋ͨΓʹ͋Γͦ͏ͩͧʯͱ͍͏ใͳ͘ϑ
ϥοτͰ͢. 25 / 26
͓ΘΓʹ Q & A Q:ࣄલΛϑϥοτʹͨ͠Β, ͦͦࣄલͳΜͯͷΛߟ͑Δ ҙຯ͕ͳ͍ͷͰʁ A:ͦ͏ͱݶΓ·ͤΜ. ࣄલΛҰ༷ʹͨ͠߹, MAP
ਪఆྔ ࠷ਪఆྔͱҰக͠·͕͢, ࣄޙظඞͣ͠࠷ਪఆྔͱҰக͠ ·ͤΜ. 26 / 26