݂۰|۳ሺ۰ሻ∝݂۳|۰ሺ۳ሻ݂۰ሺΘሻ݂஀|࣢ሺΘሻ

(5.36)

osterior for modelling replicated spectra is defined as below,

ሺ۰ሻ∝෍൫ߪ௠,ௌ

ିఠ൫ߪ௠,ி

ିఠ

௠ୀଵ

exp ൭െ෍߭

௠ୀଵ

෍ݓ

ିଵ

expሺെߚݓ

௠ୀଵ

(5.37)

above equation, ߭ is defined as below,

߭܍

Γ܍

௠,ி

܌

܌

௠,ௌ

ߚ௠,ி

ߪ௠,ி

ߚ௠,ௌ

ߪ௠,ௌ

(5.38)

oise threshold variable w can be estimated by maximising the

and is shown below,

ݓ

ߚ1

ߢߪ௠,ி

ିଶ܍

۶܍

ߙെ1

(5.39)

above equation, H is an entropy matrix and is defined as

۶ ൌdiag൛ሾݎሺ1 െݎሻሿ௜ୀଵ

(5.40)

ext issue is the derivative of the error term ݐሺݏെܾ. Because

a sigmoid term in the expression of ݐ, the derivative is slightly

ted. Therefore, a linear approximation is used in BWH, which is

low,

ݐሺݏെܾሻ൅ݎሺ1 െݎሻሺݏെܾൎݐሺݏെܾ

(5.41)

e 5.18 shows the hierarchical structure of BWH. The Bayesian

r-Henderson package can request to the author via an email.

e 5.19 shows an alignment of a peak across multiple replicates.

tra of the first peak from multiple replicates in a replicated spectra