Definition ∞ A Bayesian miner strategy involves cryptocurrency miners using statistical inference to make optimal decisions regarding block construction and transaction inclusion. This approach leverages prior probabilities and new network data to estimate the most profitable actions. Miners continuously update their beliefs about transaction fees, network congestion, and block rewards, adjusting their mining efforts accordingly. This method aims to maximize expected revenue by dynamically reacting to changing blockchain conditions.
Context ∞ Discussions around Bayesian miner strategies often relate to network security and decentralization, as sophisticated mining behaviors can influence transaction ordering and block finality. The ability of miners to predict and react to market dynamics, particularly in high-value transaction environments, raises considerations for censorship resistance and overall network health. Monitoring these strategies helps assess the robustness of proof-of-work consensus mechanisms against economic manipulation.
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