Transcript Lecture 4
0.0 -0.5 -1.0 x[1:10] 0.5 1.0 Binary iid noise (game payment) 2 4 6 Index 8 10 0.0 -0.5 -1.0 x 0.5 1.0 Binary iid noise (game payment) 0 20 40 60 Index 80 100 0 -5 cumsum(x) 5 Ransom walk on Binary iid noise (game payment) 0 20 40 60 Index 80 100 0 -2 -4 x 2 Standard normal iid noise 0 200 400 600 Index 800 1000 -1 -2 -3 -4 cumsum(x[1:10]) 0 Random walk on standard normal iid noise 2 4 6 Index 8 10 20 10 0 -10 cumsum(x) 30 Random walk on standard normal iid noise 0 200 400 600 Index 800 1000 -4 -2 x 0 2 Normal iid noise N(0.05,1) 0 2000 4000 6000 8000 10000 Index -4 -2 x 0 2 Normal iid noise N(0,1) 0 2000 4000 6000 Index 8000 10000 300 0 100 cumsum(x) 500 Random walk on normal iid noise N(0.05,1) 0 2000 4000 6000 8000 10000 Index 300 100 0 cumsum(x) 500 Random walk on normal iid noise N(0,1) 0 2000 4000 6000 Index 8000 10000 0.4 0.0 ACF 0.8 ACF of an IID noise 0 200 400 600 Lag 800 1000 0.4 0.0 ACF 0.8 ACF of an IID noise 0 20 40 60 Lag 80 100 0.00 -0.10 ACF 0.10 ACF of an IID noise 0 20 40 60 Lag 80 100 1 0 -1 -2 Observations 2 Oscillations+noise 0 20 40 60 Time 80 100 0.0 0.5 1.0 -1.0 ACF ACF of an oscillatory process 0 200 400 600 Lag 800 1000 0.0 0.5 1.0 -1.0 ACF ACF of an oscillatory process 0 20 40 60 Lag 80 100 12 8 4 Observations 16 Oscillations+noise 0 20 40 60 Time 80 100 0.00 -0.10 ACF 0.10 ACF of an oscillatory process 0 200 400 600 Lag 800 1000 0.00 -0.10 ACF 0.10 ACF of an oscillatory process 0 20 40 60 Lag 80 100 360 co2 340 320 1960 1970 1980 Time 1990 1960 1970 1980 Time 1990 -1.0 0.0 1.0 Diff residuals 0.4 -0.4 0.0 ACF 0.8 ACF for CO2 (12+1)-differencing 0.0 0.5 1.0 Lag 1.5 2.0 1960 1970 1980 Time 1990 -0.5 0.0 0.5 CDM residuals 0.4 0.0 -0.4 ACF 0.8 ACF for CO2 CDM residuals 0.0 0.5 1.0 Lag 1.5 2.0