Evaluation
13
Scoring rules
SMC and epidemic renewal models
Welcome
Introduction
1
The renewal model
2
Background of
\(R_t\)
estimation
3
Hidden-state models
Sequential Monte Carlo
4
The bootstrap filter
5
Parameter estimation
6
Putting it together
7
Other resources
Models
8
Introductory models
9
Modelling observation noise
10
Temporally aggregated data
11
Imported cases
Evaluation
12
Precision and calibration
13
Scoring rules
14
Additional notes on model evaluation
Other methods
15
EpiEstim
16
EpiFilter
17
EpiNow2
References
Appendices
A
Notation
B
Simulated data
C
Smoothing methods
D
Structure of pre-built functions
Evaluation
13
Scoring rules
13
Scoring rules
12
Precision and calibration
14
Additional notes on model evaluation