VEuy: E[u|y] and V[u|y]

In RestoreNet: Random-Effects Stochastic Reaction Networks

E[u \vert y] and V[u \vert y]

Description

Conditional expectation E[u \vert y] and variance V[u \vert y] of the latent states u given the observed states y

Usage

VEuy(theta_curr, M, M_bdiag, y, V, VCNs, nObs)

Arguments

theta_curr	current p-dimensional vector parameter.
M	A n \times K dimensional (design) matrix.
M_bdiag	An \times Jp dimensional block-diagonal design matrix. Each j-th block (j = 1,\dots,J) is a n_j \times p dimensional design matrix for the j-th clone.
y	n-dimensional vector of the time-adjacent cellular increments
V	A p \times K dimensional net-effect matrix.
VCNs	A n-dimensional vector including values of the vector copy number corresponding to the cell counts of y.
nObs	A K-dimensional vector including the frequencies of each clone k (k = 1,\dots,K).

Value

the conditional expectation E[u \vert y] and variance V[u \vert y] of the latent states u given the observed states y.

RestoreNet documentation built on May 29, 2024, 4 a.m.