· Xiaojing Yang · Statistics
Correlation vs. Causation in AI Research
Correlation is useful evidence, but causal claims require stronger design and stronger assumptions.
Correlation is useful evidence, but causal claims require stronger design and stronger assumptions.
相关性是有用证据,但因果结论需要更强的实验设计和假设。