Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A fundamental step in the PC causal discovery algorithm consists of testing for (conditional) independence. When the number of data records is very small, a classical statistical independence test is typically unable to reject the (null) independence hypothesis. ,  are comparing two conﬂicting pieces of advice in the literature that in case of too few data records recommend (1) assuming dependence and (2) assuming independence. Our results show that assuming independence is a safer strategy in minimizing the structural distance beten the causal structure that has generated the data and the discovered structure.  also propose a simple improvement on the PC algorithm that  call blacklisting.  demonstrate that blacklisting can lead to orders of magnitude savings in computation by avoiding unnecessary independence tests.
['Martijn de Jongh', 'Marek J. Druzdzel']
I am writing a research paper on a idea Evaluation of Rules for Coping with Insufficient Data in Constraint-based Search Algorithms
[{"from": "human", "value": "I am writing a research paper on a idea Evaluation of Rules for Coping with Insufficient Data in Constraint-based Search Algorithms"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A fundamental step in the PC causal discovery algorithm consists of testing for (conditional) independence. When the number of data records is very small, a classical statistical independence test is typically unable to reject the (null) independence hypothesis. ,  are comparing two con\ufb02icting pieces of advice in the literature that in case of too few data records recommend (1) assuming dependence and (2) assuming independence. Our results show that assuming independence is a safer strategy in minimizing the structural distance beten the causal structure that has generated the data and the discovered structure.  also propose a simple improvement on the PC algorithm that  call blacklisting.  demonstrate that blacklisting can lead to orders of magnitude savings in computation by avoiding unnecessary independence tests."}]