A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
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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
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Proceedings ArticleDOI
Recruitment Market Trend Analysis with Sequential Latent Variable Models
TL;DR: Wang et al. as discussed by the authors proposed a new research paradigm for recruitment market analysis by leveraging unsupervised learning techniques for automatically discovering recruitment market trends based on large-scale recruitment data.
Proceedings ArticleDOI
Maximum entropy and maximum likelihood criteria for feature selection from multivariate data
TL;DR: Several numerical methods for optimum feature selection for multivariate data based on maximum entropy and maximum likelihood criteria are discussed, which depends on the method used to estimate univariate data.
Journal ArticleDOI
Speaker recognition from encrypted VoIP communications
TL;DR: The proposed techniques for speaker identification and verification from encrypted VoIP conversations can correctly identify the actual speaker for 70-75% of the time among a group of 10 potential suspects and achieve more than 10 fold improvement over random guessing in identifying a perpetrator.
Journal ArticleDOI
Likelihood-Based Estimation of Multidimensional Langevin Models and Its Application to Biomolecular Dynamics
Illia Horenko,Christof Schütte +1 more
TL;DR: The algorithmic realization combines hidden Markov models (for the unobserved jump process between the metastable states) with likelihood-based estimation of the parameters in the local linear SDEs based on discrete-time observations of the system.
Journal ArticleDOI
Hidden markov models, grammars, and biology: a tutorial
Shibaji Mukherjee,Sushmita Mitra +1 more
TL;DR: The basic algorithms and their application to analyzing biological sequences and modelling structures of bio-molecules like proteins and nucleic acids are discussed and a comparison of the different approaches are discussed.
References
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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.