M. Gunst

发表

Model selection and parameter estimation for ion channel recordings with an application to the K+ outward-rectifier in barley leaf

M.C.M. de Gunst, M. Gunst, J. G. Schouten, 2005, Journal of mathematical biology.

A Non-Markovian Model for Cell Population Growth: Tail Behavior and Duration of the Growth Process

W. V. Zwet, Mathisca C. M. de Gunst, Willem R. van Zwet, 1993 .

A sterological method for the analysis of cellular lesions in tissue sections using three-dimensional cellular automata

M. Gunst, E. G. Leubeck, 2001 .

Modelling the growth of a batch culture of plant cells: A corpuscular approach

W. R. van Zwet, J. Val, W. V. Zwet, 1990 .

Two Mutation Model for Carcinogenesis: Relative Roles of Somatic Mutations and Cell Proliferation in Determining Risk

Suresh H. Moolgavkar, Georg Luebeck, S. Moolgavkar, 1990 .

Interferon-induced proteins: identification of Mx proteins in various mammalian species.

M. Gunst, M. Horisberger, 1991, Virology.

Bayesian modelling and analysis of spatio-temporal neuronal networks

Fabio Rigat, M.C.M. de Gunst, J. van Pelt, 2006 .

Morphine exposure and abstinence define specific stages of gene expression in the rat nucleus accumbens

A. Smit, S. Spijker, A. Schoffelmeer, 2004, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

Identification of context-specific gene regulatory networks with GEMULA - gene expression modeling using LAsso

Mathisca C. M. de Gunst, Geert Geeven, Ronald E. van Kesteren, 2012, Bioinform..

Model selection for hidden Markov models of ion channel data by reversible jump Markov chain Monte Carlo

M.C.M. de Gunst, B. Schouten, B. Schouten, 2003 .

A three domain covariance framework for EEG/MEG data

Fetsje Bijma, Jan C. de Munck, Beata P. Ros, 2014, NeuroImage.

Existence and uniqueness of the maximum likelihood estimator for models with a Kronecker product covariance structure

Fetsje Bijma, Jan C. de Munck, Beata P. Ros, 2014, J. Multivar. Anal..

Data integrative Bayesian inference for mixtures of regression models

Mehran Aflakparast, M.C.M. de Gunst, M. Gunst, 2019, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Stochastic Models of Tumor Latency and their Biostatistical Applications. A. Y. Yakovlev and A. D. Tsodikov, World Scientific, Singapore, 1996. No. of pages. xvi + 269. Price: £44. ISBN 981-02-1831-1

Mathisca C. M. de Gunst, M. Gunst, 1999 .

THE DISTRIBUTION OF GENERAL QUADRATIC FORMS IN NORMA

J. J. Dik, M.C.M. Gunst, M. Gunst, 1985 .