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Environmental Statistics

Statistics plot pollution to inform policy

1 min read · Sun, Aug 18 2019

News

Environmental Statistics climate science pollution

The spatial variation in different air pollution components helps identify possible targets for pollution control.

Beating the curse of dimensionality

1 min read · Wed, Aug 18 2021

News

Environmental Statistics big data statistics

By scanning past data for both partial and complete matches to current observations, a KAUST-led research team has developed a prediction scheme that can more reliably forecast the future trajectory of environmental parameters. The collection of data at regular intervals over time is common in many fields but particularly so in environmental, transportation and biological research. Such data are used to monitor and record the current state and also to help predict what might come in the future. A typical approach is to look for previous patterns or trajectories in the data that match the

Biostatistics Group (BIOSTATS)

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