diff --git a/lectures/Course Syllabus.jl b/lectures/Course Syllabus.jl
index 27aa976e..4495f992 100644
--- a/lectures/Course Syllabus.jl	
+++ b/lectures/Course Syllabus.jl	
@@ -54,7 +54,7 @@ md"""
 
 Please bookmark the following three websites:
 
-1. The course homepage [http://bmlip.nl](http://bmlip.nl) contains links to all materials, such as lecture notes and video lectures.
+1. The course homepage [https://bmlip.nl](https://bmlip.nl) contains links to all materials, such as lecture notes and video lectures.
 2. The [Piazza course site](https://piazza.com/tue.nl/winter2026/5ssd0/home) will be used for Q&A and communication.
 3. The [Canvas course site](https://canvas.tue.nl/courses/33478) will be sparingly used for communication (mostly by ESA staff)
 
@@ -64,7 +64,7 @@ Please bookmark the following three websites:
 md"""
 ## Materials
 
-All materials can be accessed from the [course homepage](http://bmlip.nl). The materials consist of the following resources:
+All materials can be accessed from the [course homepage](https://bmlip.nl). The materials consist of the following resources:
 
 ##### Mandatory materials for the exam
 
@@ -86,7 +86,7 @@ Source materials are available at GitHub repo at [https://github.com/bmlip/cours
 
 # ╔═╡ ab61d2fe-312c-4aca-9029-e446aaf2bfa2
 keyconcept("",
-md""" All study materials are accessible at the course homepage [`http://bmlip.nl`](http://bmlip.nl).""")
+md""" All study materials are accessible at the course homepage [`https://bmlip.nl`](https://bmlip.nl).""")
 
 # ╔═╡ 0d016cf8-d294-11ef-0c84-336979a02dd7
 md"""
diff --git a/lectures/Probability Theory Review.jl b/lectures/Probability Theory Review.jl
index 3b872cae..e5a564c2 100644
--- a/lectures/Probability Theory Review.jl	
+++ b/lectures/Probability Theory Review.jl	
@@ -69,7 +69,7 @@ md"""
   - [3Blue1Brown, YouTube video on Bayes theorem (2019)](https://youtu.be/HZGCoVF3YvM?si=JaXdesPjU8B_BtrC)
     - Nice animated tutorial on Bayes rule.
       
-  - [Edwin Jaynes, Probability Theory–The Logic of Science (2003)](http://www.med.mcgill.ca/epidemiology/hanley/bios601/GaussianModel/JaynesProbabilityTheory.pdf). 
+  - **Edwin Jaynes, Probability Theory–The Logic of Science (2003)**
     - Brilliant book on the Bayesian view of probability theory. Just for fun, scan the annotated bibliography and references.
 
   - [Aubrey Clayton, Bernoulli's Fallacy–Statistical Illogic and the Crisis of Modern Science (2021)](https://aubreyclayton.com/bernoulli)
diff --git a/mlss/Probability Theory Review.jl b/mlss/Probability Theory Review.jl
index 105ef3de..44f16feb 100644
--- a/mlss/Probability Theory Review.jl	
+++ b/mlss/Probability Theory Review.jl	
@@ -702,7 +702,7 @@ md"""
   - [3Blue1Brown, YouTube video on Bayes theorem (2019)](https://youtu.be/HZGCoVF3YvM?si=JaXdesPjU8B_BtrC)
     - Nice animated tutorial on Bayes rule.
       
-  - [Edwin Jaynes, Probability Theory–The Logic of Science (2003)](http://www.med.mcgill.ca/epidemiology/hanley/bios601/GaussianModel/JaynesProbabilityTheory.pdf). 
+  - **Edwin Jaynes, Probability Theory–The Logic of Science (2003)**
     - Brilliant book on the Bayesian view of probability theory. Just for fun, scan the annotated bibliography and references.
 
   - [Aubrey Clayton, Bernoulli's Fallacy–Statistical Illogic and the Crisis of Modern Science (2021)](https://aubreyclayton.com/bernoulli)
diff --git a/probprog/PP3 - variational Bayesian inference.jl b/probprog/PP3 - variational Bayesian inference.jl
index 96f880c2..5233283c 100644
--- a/probprog/PP3 - variational Bayesian inference.jl	
+++ b/probprog/PP3 - variational Bayesian inference.jl	
@@ -172,7 +172,7 @@ q(z,π,μ,Λ) = \prod_{i=1}^{N} q(z_i) \prod_{k=1}^K q(π_k)q(μ_k)q(Λ_k)
 ```
 This constraint is available as a standalone function: `MeanField()`.
 
-See also the [RxInfer documentation - page on constraint specification](https://docs.rxinfer.com/stable/manuals/constraints-specification/).
+See also the [RxInfer documentation - page on constraint specification](https://docs.rxinfer.com/stable/manuals/variational/constraints-specification/).
 """
 
 # ╔═╡ a8fd6aae-0ee4-44cb-bc80-ba8c76ddd3f9