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⚡ BIDSim WebAssembly & JS Interactive Engine (v2.4 - PEMPI Maxent)
Discretized Bayesian Induction Engine (Poll Evolution Relative to Prior State)
1. Candidate Setup (Last Score & New Poll)
Number of Candidates (m):
3 Candidates
4 Candidates
5 Candidates
6 Candidates
7 Candidates
8 Candidates
9 Candidates
10 Candidates
New Poll Sample Size (N):
N = 200 voters
N = 500 voters
N = 1,000 voters
Scenario Draws (T):
50,000 Scenarios
100,000 Scenarios
250,000 Scenarios
Candidate Name
Last Score (%) [Prior P_0]
New Poll Count (k_i)
Sum of Priors (Last Scores) = 100.0% ✓
⚡ EXECUTE BIDSIM DISCRETE ENGINE
2. Discrete Simulation Results & Bayesian Evolution
Execution Time: 0.0 ms
Last Score (%) [Prior P_0]
New Expected Value (EB %) [Posterior BID2]
Candidate
Last Score (P_0)
New Poll (k_i)
Expected Value (EB)
Evolution (Δ)
95% Interval (IC95)
Win Probability (1st)
Top 2 Qualification
8 Cores
CPU Hardware
0.000
Lag-1 Autocorrelation
100%
ESS Efficiency
100.000%
Probability Conservation