A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
About:
This article is published in Annals of Mathematical Statistics.The article was published on 1970-02-01 and is currently open access. It has received 4618 citations till now. The article focuses on the topics: Examples of Markov chains & Markov chain.read more
Citations
More filters
Journal ArticleDOI
Intelligent autonomous system for residential water end use classification
TL;DR: In this paper, the authors developed an autonomous and intelligent system for residential water end-use classification that could interface with customers and water business managers via a user-friendly web-based application.
Journal ArticleDOI
A mixed non‐homogeneous hidden Markov model for categorical data, with application to alcohol consumption
Antonello Maruotti,Roberto Rocci +1 more
TL;DR: A finite mixture of non-homogeneous HMMs (NH-HMMs) is proposed that can be used to classify individuals according to their dynamic behaviour or to estimate a mixed NH-HMM without any assumption regarding the distribution of the random term following the non-parametric maximum likelihood approach.
Journal ArticleDOI
Calibrated Bayes, for Statistics in General, and Missing Data in Particular
TL;DR: It is argued that the Calibrated Bayesian (CB) approach to statistical inference capitalizes on the strength of Bayesian and frequen- tist approaches to Statistical inference.
Journal ArticleDOI
Hidden Markov Model Based Word Recognition and Its Application to Legal Amount Reading on French Checks
TL;DR: A hidden Markov model (HMM) based word recognition algorithm for the recognition of legal amounts from French bank checks is presented and has been shown to outperform a holistic word Recognizer and another HMM-type word recognizer from the A2iA INTERCHEQUE recognition system.
Journal ArticleDOI
Calibrated Bayes, for Statistics in General, and Missing Data in Particular
TL;DR: In this paper, the Calibrated Bayesian (CB) approach to statistical inference is described and applications of the CB approach to normal mod- els are described, both for monotone and non-monotone missing data patterns.
References
More filters
Journal ArticleDOI
Statistical Inference for Probabilistic Functions of Finite State Markov Chains
Leonard E. Baum,Ted Petrie +1 more
Journal ArticleDOI
An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology
Leonard E. Baum,J. A. Eagon +1 more
TL;DR: In this paper, a polynomial with nonnegative coefficients homogeneous of degree d in its variables is shown to be polynomially homogeneous unless 3(3(x))>P(x), where 3(x)=x.
Book ChapterDOI
The Gamma Function
Willi Freeden,Martin Gutting +1 more
TL;DR: The Gamma function as discussed by the authors is a generalized factorial function that can be used to estimate the probability distribution of a probability distribution, and it has been used in many applications, e.g., as part of probability distributions.