A tridiagonal parsimonious higher order multivariate Markov chain model
نویسندگان
چکیده
منابع مشابه
A New Improved Parsimonious Multivariate Markov Chain Model
We present a new improved parsimonious multivariate Markov chain model. Moreover, we find a new convergence condition with a new variability to improve the prediction accuracy and minimize the scale of the convergence condition. Numerical experiments illustrate that the new improved parsimonious multivariate Markov chain model with the new convergence condition of the new variability performs b...
متن کاملA Simplified Higher-Order Markov Chain Model
In this paper, we present a simplified higher-order Markov chain model for multiple categorical data sequences also called as simplified higher-order multivariate Markov chain model. The number of the parameters of the new model is only ) ) (( 2 sm s n O + which is less than ) (( 2 m ns O in the higher-order multivariate Markov chain model. Numerical experiments illustrate the benefits of our n...
متن کاملHigher, possibly multivariate, Order Markov Chains in markovchain package
The markovchain package contains functions to fit higher (possibly) multivariate order Markov chains. The functions are shown as well as simple exmaples
متن کاملHigher-order multivariate Markov chains and their applications
Markov chains are commonly used in modeling many practical systems such as queuing systems, manufacturing systems and inventory systems. They are also effective in modeling categorical data sequences. In a conventional nth order multivariate Markov chain model of s chains, and each chain has the same set of m states, the total number of parameters required to set up the model is O(mns). Such hu...
متن کاملHigher Order Markov Networks for Model Estimation
The problem we address in this paper is to label datapoints when the information about them is provided primarily in terms of their subsets or groups. The knowledge we have for a group is a numerical weight or likelihood value for each group member to belong to same class. These likelihood values are computed given a class specific model, either explicit or implicit, of the pattern we wish to l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2017
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/231/1/012009