Pseudo-Markov transformations

Discretized Markov Transformations

We define discretized Markov transformations and find an algorithm to give the number of maximal-period sequences based on discretized Markov transformations. In this report, we focus on discretized dyadic transformations and define a number-theoretic function related to the numbers of maximal-period sequences based on the discretized dyadic transformations. We also introduce the entropy of the...

Conformal Transformations of Pseudo-Rie- mannian manifolds

This is a survey about conformal mappings between pseudo-Riemannian manifolds and, in particular, conformal vector fields defined on such. Mathematics Subject Classification (2000). Primary 53C50; Secondary 53A30; 83C20.

Pseudo-extended Markov chain Monte Carlo

Sampling from the posterior distribution using Markov chain Monte Carlo (MCMC) methods can require an exhaustive number of iterations to fully explore the correct posterior. This is often the case when the posterior of interest is multi-modal, as the MCMC sampler can become trapped in a local mode for a large number of iterations. In this paper, we introduce the pseudo-extended MCMC method as a...

Small and Pseudo - Small Sets for Markov

Convergence of Pseudo-Finite Markov Chains

Note: After completing this paper, it was discovered that similar ideas had been studied previously by others (see A.