dags

Nov 25 2023

Why should there be no simultaneity rule for causal models?

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Dominos in motion (Wikipedia)Preamble The definition of weighted directed graphs (wDAGs) provides a great opportunity to express causal relationships among given variates. Usually this is expressed as SCMs, Structural Causal Model or in more generally causal model. A given causal model can be...

causality dags time-series scm graph theory causal inference

Nov 10 2023

Mathematical Definition of Heuristic Causal Inference: What differentiates DAGs and do-calculus?

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Preamble David Hume (Wikipedia)Experimental design is not a new concept and randomised control trials (RCTs) are our solid gold standard of doing quantitative research, when no apparent physical laws are available to validate observations. However, it is very expensive to design RCTs, not ethical...

causality applied mathematics dags graph theory causal inference randomness heuristic intervention random control trials counterfactual bayesian inference

Sep 09 2023

Practical causal ordering: Why weighted-Directed Acyclic Graphs (DAGs) are powerful for causal inference?

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Preamble Fractal Tree (Wikipedia)A quiet causal inference revolution is underway in industry. We see immense success of transformers deep learning architectures. However their success should also be attributed to causal modelling. Large Language Models (LLMs), specially closed-sourced ones,...

llm nlp causality dag self-attention dags wdags large language models causal inference