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fix mistakes in mole exercise solution #80

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fix mistakes in mole exercise solution #80

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11 changes: 6 additions & 5 deletions exercises/solved_notebooks/P5_mcmc/MCMC_2-basics.jl
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
### A Pluto.jl notebook ###
# v0.20.21
# v1.0.1

using Markdown
using InteractiveUtils
Expand All @@ -9,6 +9,7 @@ using InteractiveUtils
using Pkg; Pkg.activate("..")

# ╔═╡ 45bc5b66-c81b-4afb-8a7e-51aff9609c62
# ╠═╡ show_logs = false
using Turing, StatsPlots

# ╔═╡ 8f624627-5a65-441d-989b-3fd7397e341c
Expand Down Expand Up @@ -90,13 +91,13 @@ cond_mole = molemodel | (Y = 3,);
molechain_cond = sample(cond_mole, NUTS(), 2000);

# ╔═╡ b02dc714-e2bb-4ae2-acf9-c37a4389f953
plot(molechain)
plot(molechain_cond)

# ╔═╡ b79dafee-4f6f-4301-9267-1b9798c125ea
X_samplescondY = molechain[:X];
X_samplescondY = molechain_cond[:X];

# ╔═╡ fd540765-95e5-4071-81f7-e689b06cad0c
E_XcondY = mean(molechain[:X])
E_XcondY = mean(molechain_cond[:X])

# ╔═╡ 5521933a-a42e-4a67-94b9-84eab52ddf07
E_X = mean(Exponential(100))
Expand All @@ -105,7 +106,7 @@ E_X = mean(Exponential(100))
md"### 4: Conditional distribution of X"

# ╔═╡ 159caa6a-2ebf-44bd-87a5-b4ab8b085354
histogram(molechain[:X])
histogram(molechain_cond[:X])

# ╔═╡ eda00c08-de49-4d2d-acc4-ba6e21ff0b11
md"### 5: Conditional distribution of X (with more data)"
Expand Down
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