Model Sele tion for Variable Length Markov Chains

Model Sele tion for Variable Length MarkovChains and Tuning the Context

Evaluation of First and Second Markov Chains Sensitivity and Specificity as Statistical Approach for Prediction of Sequences of Genes in Virus Double Strand DNA Genomes

Growing amount of information on biological sequences has made application of statistical approaches necessary for modeling and estimation of their functions. In this paper, sensitivity and specificity of the first and second Markov chains for prediction of genes was evaluated using the complete double stranded  DNA virus. There were two approaches for prediction of each Markov Model parameter,...

A Model For The Residence Time Distribution and Holdup Measurement in a Two Impinging Streams Cyclone Reactor/Contactor in Solid-Liquid Systems

In this paper a two impinging streams cyclone contacting system suitable for handling of solid-liquid systems has been studied. Certain pertinent parameters such as: solid holdup, mean residence time and Residence Time Distribution (RTD) of solid particles have been investigated. A stochastic model based on Markov chains processes has been applied which describe the behavior of solid partic...

Adaptive Variable Sele tion with Bayesian Ora les

Model Selection for Variable Length MarkovChains and Tuning the Context AlgorithmPeter

We consider the model selection problem in the class of stationary variable length Markov chains (VLMC) on a nite space. The processes in this class are still Markov-ian of higher order, but with memory of variable length. Various aims in selecting a VLMC can be formalized with diierent non-equivalent risks, such as nal prediction error or expected Kullback-Leibler information. We consider the ...