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Table 1 The estimated parameters of the probability transition matrix using Monte Carlo simulations are very close to that based on numerical integration using Mathematica for all cases studied: t={0,0.5,1,2}. Parameters b,c,d as introduced in equation (8) are sufficient parameters to describe such a Markov chain. P. = parameters, Num. Int. = numerical integration, N.A. = not applicable

From: Statistical significance approximation in local trend analysis of high-throughput time-series data using the theory of Markov chains

 

P.

Monte Carlo

Num. Int.

t=0

b

0.3342

0.3333

 

c

0.6658

0.6667

 

d

N.A.

N.A.

t=0.5

b

0.2313

0.2311

 

c

0.6083

0.6088

 

d

0.4034

0.4043

t=1

b

0.1265

0.1268

 

c

0.4998

0.5000

 

d

0.3432

0.3429

t=2

b

0.0310

0.0303

 

c

0.1608

0.1617

 

d

0.2203

0.2199