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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0.3%0.5%0.8%0.1% · Jun 202519922001200920172026
2 results for “LvLiNGAM”
Causal Discovery for Linear DAGs with Dependent Latent Variables via Higher-order Cumulantscs.LG

Paper proposes a new method to identify causal graphs with latent variables using higher-order cumulants.

problem Estimating causal directed acyclic graphs with latent confounders.
method Uses higher-order cumulants to identify causal structures among observed and latent variables.
result Validates the proposed algorithm through simulations and real-world data.
Causal DiscoveryLinear DAGsDependent Latent VariablesHigher-order CumulantsLvLiNGAM
2025-10-16abs ↗pdf ↗
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulantsstat.ML

The paper identifies causal effects in latent variable models using higher-order cumulants.

problem Challenges in identifying causal effects in latent variable models with latent confounders.
method Using higher-order cumulants, the paper addresses two challenging setups: a single proxy variable and underspecified instrumental variables.
result Causal effects are identifiable with a single proxy or instrument.
Causal inferenceLatent variable modelsHigher-order cumulantsLatent confoundersInstrumental variables
2025-06-05abs ↗pdf ↗