Author: KV Parag; CA Donnelly
Title: Optimising Renewal Models for Real-Time Epidemic Prediction and Estimation Document date: 2019_11_8
ID: 9t5ncsig_22
Snippet: When computing directly, the most difficult term is B s+1 when I s+1 and α τ (s) 176 are large. In these cases Stirling approximations may be applied. The renewal 177 model APE metric offers a simple means of finding k * := arg min k APE k , the 178 window length that optimises one-step-ahead predictive performance......
Document: When computing directly, the most difficult term is B s+1 when I s+1 and α τ (s) 176 are large. In these cases Stirling approximations may be applied. The renewal 177 model APE metric offers a simple means of finding k * := arg min k APE k , the 178 window length that optimises one-step-ahead predictive performance.
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