MCMC_WALKER.exe

// NEURAL PROBABILITY SAMPLER v2.077

Draw a probability landscape on the left — brightness = probability. The walker on the right uses Metropolis-Hastings to sample from your distribution. It visits bright regions more often, reconstructing your drawing through random exploration!
◈ Target_Distribution
DRAW to define probability density. Brighter = Higher probability. The walker will spend more time in bright regions.
◈ MCMC_Reconstruction CYCLES: 0
LIVE SAMPLING — Walker proposes random jumps, accepts moves to brighter areas, sometimes rejects moves to darker regions. Trail reveals the underlying distribution!
◈ Telemetry
Accept: 0%
Position: [0, 0]
Density: 0
Coverage: 0%
Brush 20
Speed 50
Jump 10