44:55
Introduction to Python
10:14
Intro to BibTeX for automatic citations & reference lists
53:17
Interactive web slides using Quarto
11:10
Setup Python, Anaconda, Visual Studio Code & GitHub Copilot
20:04
Empirical Dynamic Modelling: Automatic Causal Inference and Forecasting
07:22
Approximate Bayesian computation in insurance
54:00
A Software Engineer's Toolkit for Quantitative Research
59:06
Approximate Bayesian Computation & Writing Performant Python Code
21:28
Approximate Bayesian Computation: Introduction & Insurance Examples
18:01
High-performance Python
10:01
MCMC with PyMC3
11:09
Sequential Monte Carlo
14:15
MCMC dependence in the samples
06:49
MCMC starting points
04:47
Markov chain Monte Carlo
07:19
Cross entropy method actuarial example
04:26
Cross-entropy method compared to Crude Monte Carlo
06:01
Improved cross-entropy and original cross-entropy methods
16:27
Siegmund's algorithm and exponential tilting
06:49
Importance Sampling
14:31
Crude Monte Carlo
08:21
Basic plotting in Python
12:31
Simulating random variables in Python
44:16
Rare event estimation (2019): Lecture 8 (Bonus Lecture on ML)
35:01
Rare event estimation (2019): Lecture 7
39:46
Rare event estimation (2019): Lecture 6
21:34
Rare event estimation (2019): Lecture 5
38:08
Rare event estimation (2019): Lecture 4
51:06
Rare event estimation (2019): Lecture 3
37:37
Rare event estimation (2019): Lecture 2
47:31
Rare event estimation (2019): Lecture 1
37:41
ISFA Séminaire, Phase-Type Models in Life Insurance
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