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Valentina Unakafova


Last seen: 1 year 前 自 2016 起处于活动状态

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Professional Interests: EEG and spiking data analysis; measuring complexity; non-linear analysis

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Permutaton entropy with tied ranks (fast algorithm)
Permutation entropy for ordinal patterns with tied ranks from 1D time series in sliding windows

4 years 前 | 1 次下载 |

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Ordinal patterns distribution
Efficiently computing distribution and sequence of ordinal patterns from 1D time series

5 years 前 | 2 次下载 |

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Conditional entropy of ordinal patterns (fast algorithm)
CondEn.m computes efficiently conditional entropy of ordinal patterns from 1D time series.

5 years 前 | 2 次下载 |

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Robust permutation entropy (fast algorithm)
Fast calculation of robust permutation entropy from 1D time series in sliding windows

5 years 前 | 2 次下载 |

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Ordinal-patterns-based analysis (beta-version)
Toolbox for nonlinear analysis of multivariate time series with ordinal-patterns-based measures

5 years 前 | 7 次下载 |

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Permutation entropy (fast algorithm)
Efficiently computing values of permutation entropy from 1D time series in sliding windows

5 years 前 | 31 次下载 |

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Lyapunov exponent of logistic map
Computes estimated values of Lyapunov exponent of logistic map for r within the interval (3.5,4)

5 years 前 | 13 次下载 |

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Importance of cross-validation
This example illustrates that omitting cross-validation can result in misleadingly high goodness-of-fit due to overfitting

5 years 前 | 1 次下载 |

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Pseudo R-squared measure for Poisson regression models
Computes pseudo R-squared goodness-of-fit measure for Poisson regression models from real and estimated data

5 years 前 | 2 次下载 |

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Testing GPFA method on simulated data
Example of testing GPFA method on simulated data

6 years 前 | 2 次下载 |

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Make the vector [1 2 3 4 5 6 7 8 9 10]
In MATLAB, you create a vector by enclosing the elements in square brackets like so: x = [1 2 3 4] Commas are optional, s...

7 years 前

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Pizza!
Given a circular pizza with radius _z_ and thickness _a_, return the pizza's volume. [ _z_ is first input argument.] Non-scor...

7 years 前