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benchmarks/BayesianInference/DiffEqBayesFitzHughNagumo.jmd

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@@ -64,7 +64,7 @@ priors = [truncated(Normal(1.0,0.5),0,1.5), truncated(Normal(1.0,0.5),0,1.5), tr
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#### Stan.jl backend
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```julia
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@time bayesian_result_stan = stan_inference(prob_ode_fitzhughnagumo,t,data,priors; delta = 0.65, num_samples = 10_000, print_summary=false, vars=(DiffEqBayes.StanODEData(), InverseGamma(2, 3)))
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@time bayesian_result_stan = stan_inference(prob_ode_fitzhughnagumo , t, data, priors; num_samples = 10_000, vars=(StanODEData(), InverseGamma(2, 3)))
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```
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### Direct Turing.jl

benchmarks/BayesianInference/Project.toml

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@@ -13,6 +13,7 @@ SciMLBenchmarks = "31c91b34-3c75-11e9-0341-95557aab0344"
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StanSample = "c1514b29-d3a0-5178-b312-660c88baa699"
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StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
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Turing = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"
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CmdStan = "593b3428-ca2f-500c-ae53-031589ec8ddd"
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[compat]
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BenchmarkTools = "1.0"
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Distributions = "0.25"
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DynamicHMC = "3.1"
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OrdinaryDiffEq = "6"
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CmdStan = "6.6.0"
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ParameterizedFunctions = "5.3"
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Plots = "1.4"
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RecursiveArrayTools = "3.27.1"

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