Dataset with samples with different margin errors

Hi folks, I’m new with pystan. My dataset have several data for environmental variables measured with different instruments, for this reason, the error per data entry (sample) is different, for instance, temperature values have different margin errors (data1: 12.34 F - error: 0.012, data2: 31.45 F - error: 0.025 etc…). My question is: What is the name of the approach or method using pystan to apply HBM to this dataset? Any documentation, example or url to understand where to begin, will be greatly appreciated. Thanks!

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