The BNMA BN Repository
This repository is a resource for posting and downloading Bayesian network models for sharing with others and for providing supporting material for publications. Please respect authors' rights where noted.
Reporting standards for BNs: Document your DAG, causal model or BN via our reporting standards.
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4 BNs found.
Bayesian Network Fusion of Large Language Models for Sentiment Analysis
This Bayesian Network is part of the Bayesian Network LLM Fusion (BNLF) framework, which integrates predictions from FinBERT, RoBERTa, and BERTweet for financial sentiment analysis. It models probabilistic dependencies among LLM outputs and corpus features to enable interpretable and robust sentiment inference across financial datasets.
Causal Modelling of Cryptocurrency Price Movements Using Discretisation-Aware Bayesian Networks
This Bayesian Network models the key drivers of price movements for six major cryptocurrencies, Bitcoin, Ethereum, Binance Coin, Ripple, Litecoin, and Tether, by integrating macro-financial indicators and social media factors. Built using a structured discretisation pipeline, it enables coin-specific causal analysis to uncover financial and behavioural influences.
35mm B&W Film risk rating 240319 EM
Provides risk ratings for prioritizing which U.S. National Archives and Records Administration records to preserve and archive, for 35mm B&W films.
SR NOR Latch
An SR latch is one of the simplest kinds of electronic memory that can be built with logic gates. See <en.wikipedia.org...> for more information.
Set the evidence for 'R' (Reset) and 'S' (Set) to 'False' for all time steps. Then enter a 'True' in 'S' (Set) for time step 3. The 'output' of NOR1 will be locked to True thereafter. (You can then set 'R' to 'True' in a later timestep to clear it.) Requires GeNIe.