Data analysis
29
Smoothing
Infectious disease modelling for babies
Preface
Modelling
Deterministic models
1
SIR
2
SEIR
3
Heterogeneities
4
tsiR
Stochastic models
5
Autoregressive model
6
SEIR
Model fitting
7
Least squares estimation
8
Maximum likelihood estimation
9
MCMC
10
Particle filter
Reproduction number
11
Generation interval
12
Estimating
\(R_0\)
13
Estimating
\(R_t\)
14
\(R_t\)
in practice
Interventions
15
Flattening the curve
16
Vaccination
17
Vaccine performance
18
Model vaccination
19
Measles vaccine
Health economics
20
EtR Process
Serological data
21
Serocatalytic models
Statistical models
22
Generalized linear models
23
Generalized additive model
24
Survival analysis
25
Bayesian
5
Autoregressive model
27
Probability distributions
28
Time series
Data analysis
29
Smoothing
Reports
30
Risk assessment report
31
Outbreak response report
References
Appendices
A
Dictionary
B
Math
C
Statistics
D
Odin notes
E
Metaprogramming
F
Ensemble and distillation
G
Useful functions
H
Simulate line list
Table of contents
29.1
Moving average
29.2
LOWESS
Data analysis
29
Smoothing
29
Smoothing
29.1
Moving average
29.2
LOWESS
Data analysis
Reports