activity
20012008
most citedImplementation of the Combined--Nonlinear Condensation Transformation

31 citations · 46 across the 6 of their papers we have counts for

collaborators

6 papers

nlin.CG2008

Stabilizing and Destabilizing Effects of Embedding 3-node Subgraphs on State Space of Boolean Networks

Chikoo Oosawa, Michael A. Savageau, Abdul S. Jarrah +2

We demonstrate the effects of embedding subgraphs using a Boolean network, which is one of the discrete dynamical models for transcriptional regulatory networks. After comparing th…

nlin.CG2007★ 1 cited

Effects of feedback and feedforward loops on dynamics of transcriptional regulatory model networks

Chikoo Oosawa, Kazuhiro Takemoto, Michael A. Savageau

We demonstrate the advantages of feedforward loops using a Boolean network, which is one of the discrete dynamical models for transcriptional regulatory networks. After comparing t…

nlin.CG2006★ 4 cited

Local cause of coherence in Boolean networks

Chikoo Oosawa, Kazuhiro Takemoto, Shogo Matsumoto +1

We performed a numerical study on random Boolean networks with power-law rank outdegree distributions to find local structural cause for the emergence of high or low degree of cohe…

math.PR2005★ 9 cited

Some properties of the Lerch family of discrete distributions

Sergej V. Aksenov, Michael A. Savageau

We extend the definition of the Lerch distribution to the set of nonnegative integers for greater applicability to modeling count data. We express its properties in terms of Lerch'…

math.NA2002★ 31 cited

Implementation of the Combined--Nonlinear Condensation Transformation

S. V. Aksenov, M. A. Savageau, U. D. Jentschura +3

We discuss several applications of the recently proposed combined nonlinear-condensation transformation (CNCT) for the evaluation of slowly convergent, nonalternating series. These…

physics.data-an2001★ 1 cited

Statistical inference and modeling with the S distribution

Sergej V. Aksenov, Michael A. Savageau

We consider the problem of statistical inference for the S distribution and introduce new minimum distance estimators for the four parameters of the S distribution using Kolmogorov…