301 to 310 of 771 Results
Sep 23, 2024 -
Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems
Python Source Code - 720 B -
MD5: f83336a8482ca5ae146ec2f8a464ad7e
Python script computing and plotting the quasi-derivative of tanh(t), and comparing it to the analytical derivative of tanh(t). |
Sep 23, 2024 -
Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems
Python Source Code - 1.8 KB -
MD5: e3fe7f18f719570991385238b48c8e7e
Python script to plot the heat map for the mean of DJI daily fractional return between 1 Jan 2003 and 31 Dec 2023, for window sizes between 20 and 250. |
Sep 23, 2024 -
Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems
Python Source Code - 1.8 KB -
MD5: 20fbab4bf9ae37458b99aca801b89882
Python script to plot the heat map for the variance of DJI daily fractional return between 1 Jan 2003 and 31 Dec 2023, for window sizes between 20 and 250. |
Sep 23, 2024 -
Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems
Python Source Code - 1.8 KB -
MD5: 66bbbe92d61610b5ca851b7e79ee8af4
Python script to compute and plot the quasi-derivatives of the mean and variance of the DJI daily fractional return between 1 Jan 2003 and 31 Dec 2023 |
Sep 23, 2024 -
Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems
Python Source Code - 2.1 KB -
MD5: 777269c422a2334d4b14e0e09824ae50
Python script to compute and plot the heat map of the quasi-derivative of the cross correlation between GOOG and MSFT between 2005 and 2023, as well as the integrated quasi-derivative of the cross correlation between GOOG and MSFT over the same time period. |
Sep 23, 2024 -
Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems
Python Source Code - 1.8 KB -
MD5: 175ed65a8be3faa22114fbe4ae968666
Python script to compute and plot: (a) f(t) = 2*t + 3, (b) the quasi-derivative of f(t), (c) the adjusted quasi-derivative of f(t), and (d) the adjusted quasi-derivative of f(t) contaminated by Gaussian noise. |
Sep 23, 2024 -
Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems
Python Source Code - 959 B -
MD5: 8d577112236f6ce95e0368439305e421
Python script to compute and plot the quasi-derivative of sgn(t) contaminated by Gaussian noise. |
Sep 23, 2024 -
Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems
Python Source Code - 798 B -
MD5: 1a33896f8f91bace5568776c1f693e0b
Python script to compute and plot the quasi-derivative of tanh(t) contaminated by Gaussian noise. |
Sep 23, 2024 -
Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems
Python Source Code - 1.4 KB -
MD5: 6ff1ac29b277581cd5d666ad96f89d83
Python script to compute and plot the quasi-derivative of a time series featuring a sudden switch in variance. |
Sep 23, 2024 -
Quasi-Differentiation and Its Applications to Noisy Time Series Data from Complex Systems
Python Source Code - 1.3 KB -
MD5: 5c6c6524634b2df2767a70fe670b70c2
Python script to test how well integrated quasi-differentiation can estimate dynamic cross correlations. |
