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Mathematica 10 的新功能 › 增强的随机处理 ›

用 TransformedProcess 创建自定义过程 

定义补偿泊松过程.

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模拟30秒单位比率的过程.

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计算过程的协方差函数.

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定义一个二维贝塞耳过程.

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模拟10秒过程.

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计算过程的均值和方差函数.

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Related Examples

Hidden Markov Processes with Discrete or Continuous, Univariate or Multivariate Emissions » Hidden Markov Processes with Silent States » Find Hidden States Underlying Given Emissions of HMM Process » Estimate Hidden Markov Processes from Data »
Perform Typo Correction without a Dictionary » Track Player Movement in a First-Person Shooter Game » Find a Splice Site in a DNA Sequence » Track Lizard Movement with a Capture-Recapture Model »
Use TransformedProcess to Create a Custom Process » Study the Stochastic Exponential Function » Simulate the Surplus Process for Insurance » Model Option Prices Using Merton Jump-Diffusion  »
Generate White Noise Based on Any Distribution » Apply ARMA Filter to a Heavy-Tailed White Noise Process » Test for Serial Correlation » Fractional Gaussian Noise versus FARIMA Noise »
Improved Support of Random Processes in Expectation » Improved Support of Random Processes in Probability » Identify Regularly Sampled Ornstein–Uhlenbeck Process as an Autoregressive Process » Improved Documentation for Probability and Statistics »
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