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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Journal ArticleDOI
Large-scale mutation in the evolution of a gene complex for cryptic coloration
Romain Villoutreix,Romain Villoutreix,Clarissa F. de Carvalho,Víctor Soria-Carrasco,Dorothea Lindtke,Marisol De-la-Mora,Moritz Muschick,Moritz Muschick,Jeffrey L. Feder,Thomas L. Parchman,Zach Gompert,Patrik Nosil,Patrik Nosil,Patrik Nosil +13 more
TL;DR: It is shown that multiple linked but recombining loci underlie cryptic color morphs of Timema chumash stick insects, and how suppressed recombination and large-scale mutation can help to package gene complexes into discrete units of diversity such as morphs, ecotypes, or species are shown.
Journal ArticleDOI
Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical Training
Qiang Zhang,Baoxin Li +1 more
TL;DR: Experimental results suggest that the proposed approach provides a promising solution to video-based motion skill evaluation and the potential of generalizing the method to other applications of temporal analysis is illustrated.
Book ChapterDOI
Process Mining Versus Intention Mining
TL;DR: The use of mining techniques are illustrated on a dataset of event logs, to discover an activity process model as well as an intentional process model.
Journal ArticleDOI
Parallel algorithms/architectures for neural networks
Jenq-Neng Hwang,Sun-Yuan Kung +1 more
TL;DR: A programmable systolic array is proposed, which maximizes the strength of VLSI in terms of intensive and pipelined computing and yet circumvents the limitation on communication.
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Integrated track maintenance for the PMHT via the hysteresis model
Samuel J. Davey,Douglas A. Gray +1 more
TL;DR: A new extension of the PMHT is presented, which incorporates a randomly evolving Bayesian hyperparameter for the assignment process that reflects each model's contribution to the mixture, and thus can be used to quantify the significance of mixture components.
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.