研究表明，迄今为止，计算机模拟的可变性比从代理记录中获得的数据要小得多。

Studies suggest that to date the variability in computer simulations is considerably smaller than in data obtained from the proxy records.

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他们将跟踪数据编制成高清晰度社交网络，用计算机模型模拟像流感这样的疾病在学校的传播。

Then they compiled the tracking data into a high-resolution social contact network and used a computer model to simulate the spread of a flu-like disease throughout the school.

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伴随着这个，又有了使用的数据分析新方法，例如，马尔科夫链，蒙特卡洛模拟这些大型计算机密集型算法。

Accompanying this have been new approaches to data analysis using, for example, Markov Chain Monte Carlo simulations that are hugely computer intensive.

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