Bayesian workflow: fake social contact data example
Bayesian workflow
negative binomial
social contact
This post is my attempt to follow along a Bayesian Workflow by Gelman et al and create examples for better understanding. While my ultimate goal is to study infectious disease transmission using a dynamic model following…
Modeling human behavior: Infectious disease transmission modeling perspective
Bayesian workflow
negative binomial
social contact
감염병의 전파 양상을 연구하는 감염병 역학…
Learning ChatGPT 4: Universal Approximation Theorem
Universal Approximation Theorem
Neural network
Arbitrary-Width
Arbitrary-Depth
Neural networks can approximate any function according to the Universal Approximation Theorem. A more precise statement of the theorem is that neural networks with a single hidden layer…
Basic reproduction number: An algorithmic approach
Basic reproduction number
Mathematica
algorithmic approach
next generation matrix
A recent article published in Mathematics discusses an approach to calculating
Learning ChatGPT 1: Probabilities for the next word
GPT-2
ChatGPT
Wolfram
Inspired by the blog post by Stephen Wolfram about the workings of the GPT-2 system, I decided to learn a bit about ChatGPT myself. Luckily, GPT-2 is now available for R. My first task is simply to learn to run the model and generate the probability table for the words that can follow the text, “The best thing about…
Logistic function in R
Logistic function
indirect vaccine effectiveness
oral cholera vaccine
The logistic function, represented as:
Waning vaccine efficacy on susceptibility
Vaccine
waning
SEIR
Erlang distribution
In this article, I examined the process of modifying the disease transmission model (for instance, the
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