Ý àcr173/Sta444_Sp18/slides/annotated/Lec14_ann.pdf · bë ) È áÈÐ Â 8 ÈÐ Â è 4...

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Transcript of Ý àcr173/Sta444_Sp18/slides/annotated/Lec14_ann.pdf · bë ) È áÈÐ Â 8 ÈÐ Â è 4...

  • 0.00

    0.25

    0.50

    0.75

    1.00

    −2

    −1

    0

    1

    2

    0 5 10 15 20 0 5 10 15 20h x

    C y

    drawDraw 1

    Draw 2

  • 0.00

    0.25

    0.50

    0.75

    1.00

    −4

    −2

    0

    2

    −3

    −2

    −1

    0

    1

    −2

    0

    2

    0.00 0.25 0.50 0.75 1.00 0.00 0.25 0.50 0.75 1.00

    0.00 0.25 0.50 0.75 1.00 0.00 0.25 0.50 0.75 1.00

    h x

    x x

    C y

    y y

    CovExpPow Exp(p=1.5)Sq Exp

    Exponential

    Powered Exponential (p=1.5) Square Exponential

    Covariance − l=12, sigma2=1

  • 0.00

    0.25

    0.50

    0.75

    1.00

    −2

    −1

    0

    1

    2

    −3

    −2

    −1

    0

    1

    −1

    0

    1

    2

    0 2 4 6 0 2 4 6

    0 2 4 6 0 2 4 6

    h x

    x x

    C y

    y y

    v=1/2

    v=3/2

    v=5/2

    Matern − v=1/2

    Matern − v=3/2 Matern − v=5/2

    Covariance − l=2, sigma2=1

    -

  • N

    not> 7 l 777 U or P

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    1.00

    −2

    −1

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    −1

    0

    1

    2

    −1

    0

    1

    0.00 0.25 0.50 0.75 1.00 0.00 0.25 0.50 0.75 1.00

    0.00 0.25 0.50 0.75 1.00 0.00 0.25 0.50 0.75 1.00

    h x

    x x

    y

    y y

    alpha=1

    alpha=3

    alpha=10

    Rational Quadratic − alpha=1

    Rational Quadratic − alpha=10 Rational Quadratic − alpha=100

    Covariance − l=12, sigma2=1

  • 0.00

    0.25

    0.50

    0.75

    1.00

    −3

    −2

    −1

    0

    1

    −2

    0

    2

    −2

    −1

    0

    1

    2

    0.0 0.3 0.6 0.9 0.0 0.3 0.6 0.9

    0.0 0.3 0.6 0.9 0.0 0.3 0.6 0.9

    h x

    x x

    y

    y y

    l=1

    l=3

    l=10

    Spherical − l=1

    Spherical − l=3 Spherical − l=10

    Covariance − sigma2=1

    0

  • 0.00

    0.25

    0.50

    0.75

    1.00

    −1

    0

    1

    −2

    −1

    0

    1

    −2

    −1

    0

    1

    2

    0 1 2 3 4 0 2 4 6

    0 2 4 6 0 2 4 6

    h x

    x x

    y

    y y

    forcats::as_factor(Cov)p=1

    p=2

    p=3

    Periodic − p=1

    Periodic − p=2 Periodic − p=3

    Covariance − l=2, sigma2=1

  • −1.0

    −0.5

    0.0

    0.5

    1.0

    0.00 0.25 0.50 0.75 1.00x

    y

  • −10

    −5

    0

    5

    −2 −1 0 1 2x

    y

    Cov_a * Cov_b

  • −4

    −2

    0

    2

    0 1 2 3x

    y

    Cov_a * Cov_b

  • −5

    −4

    −3

    −2

    −1

    0

    0 1 2 3x

    y

    drawDraw 1

    Draw 2

    Cov_a + Cov_b

  • −2

    −1

    0

    1

    2

    0 2 4 6x

    y

    Cov_a * Cov_b

  • −2

    −1

    0

    1

    0.0 2.5 5.0 7.5 10.0x

    y

    Cov_a + Cov_b

  • Cov_A (short) Cov_B (long) Cov_A + Cov_B

    0.0 2.5 5.0 7.5 10.0 0.0 2.5 5.0 7.5 10.0 0.0 2.5 5.0 7.5 10.0

    −3

    −2

    −1

    0

    1

    2

    x

    y

  • .

  • 330

    360

    390

    1960 1980 2000x

    y

    SourceNOAA

    Scripps (co2 in R)

  • alpha

    l[1] l[2] l[3] l[4] l[5]

    sigma2[1] sigma2[2] sigma2[3] sigma2[4] sigma2[5]

    0 2505007501000

    0 2505007501000 0 2505007501000 0 2505007501000 0 2505007501000

    0.02

    0.03

    0.04

    0.0

    0.3

    0.6

    0.9

    0.0

    0.2

    0.4

    0.6

    0.8

    2

    4

    6

    0.00.51.01.52.0

    0.6

    0.8

    1.0

    1.2

    010203040

    0.005

    0.010

    0.015

    0.020

    0

    2000

    4000

    6000

    0.02

    0.04

    0.06

    0

    2

    4

    6

    8

    .iteration

    estim

    ate

  • Sigma_3 Sigma_4

    Sigma_1 Sigma_2

    1960 1970 1980 1990 1960 1970 1980 1990

    −4

    0

    4

    8

    −1.5

    −1.0

    −0.5

    0.0

    0.5

    1.0

    −20

    −10

    0

    10

    20

    30

    −2

    −1

    0

    1

    2

    x

    post_m

    ean

    covSigma_1

    Sigma_2

    Sigma_3

    Sigma_4

    x

  • 330

    360

    390

    1960 1980 2000x

    post_m

    ean

    O

  • 360

    370

    380

    390

    400

    410

    2000 2005 2010 2015x

    post_m

    ean

  • 330

    360

    390

    1960 1980 2000Time

    co2

    level80

    95

    Forecasts from ARIMA(1,1,1)(1,1,2)[12]

    -

  • Sigma_3 Sigma_4

    Sigma_1 Sigma_2

    2000 2005 2010 2015 2000 2005 2010 2015

    −5

    0

    5

    −1.0

    −0.5

    0.0

    0.5

    1.0

    30

    40

    50

    60

    −1

    0

    1

    x

    post_m

    ean

    covSigma_1

    Sigma_2

    Sigma_3

    Sigma_4