ABSTRACT: We obtain an infinite series expression for the joint probability density function of occupation times in a Three-State Markov chain. By extending the identity given by Darroch, we ...

ABSTRACT: We obtain a closed form expression for the joint probability mass function of the occupation times for a Three-State Markov chain. Our representation extends the long-standing result for a ...

Abstract: In this work, we propose two information generating functions: general weighted information and relative information generating functions, and study their properties. It is shown that the ...

Department of Chemistry, King’s College London, London SE1 1DB, United Kingdom Biological Physics and Soft Matter Group, Department of Physics, King’s College London, London WC2R 2LS, United Kingdom ...

We've written a framework for testing our univariate distribution functions. It's not well doc'ed and the framework is pretty complicated, but it is used to make sure our distributions are ok. (Well - ...

We propose a method of constructing analytical, closed-form expressions for electrostatic/Newtonian potentials of non-uniform polyhedral bodies, in which the density distributions are polynomials of ...

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excerpt: "Given a covariance matrix and a mean vector, how do we generate random vectors from the corresponding Gaussian model?" You may have used `mvnrnd` in Matlab or `multivariate_normal` in NumPy.