Statistical Inference for Probabilistic Functions of Finite State Markov Chains

Leonard E. Baum; Ted Petrie

doi:https://doi.org/10.1214/aoms/1177699147

Statistical Inference for Probabilistic Functions of Finite State Markov Chains

1966 · The Annals of Mathematical Statistics · 2,811 citations · 5 from inside this corpus

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5 of 5 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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Citation edge evidence

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A tutorial on hidden Markov models and selected applications in speech recognition→Statistical Inference for Probabilistic Functions of Finite State Markov ChainsLegacy edge — source detail unavailable
Deep learning in neural networks: An overview→Statistical Inference for Probabilistic Functions of Finite State Markov ChainsLegacy edge — source detail unavailable
Finite Mixture Models→Statistical Inference for Probabilistic Functions of Finite State Markov ChainsLegacy edge — source detail unavailable
A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition→Statistical Inference for Probabilistic Functions of Finite State Markov ChainsLegacy edge — source detail unavailable
Variational Algorithms for Approximate Bayesian Inference→Statistical Inference for Probabilistic Functions of Finite State Markov ChainsLegacy edge — source detail unavailable

What cites it, inside the corpus

Paper	Year	Cited
A tutorial on hidden Markov models and selected applications in speech recognition	1989	22,910
Deep learning in neural networks: An overview	2014	18,236
Finite Mixture Models	2000	7,427
A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition	1990	1,889
Variational Algorithms for Approximate Bayesian Inference	2003	1,736

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Topics

Bayesian Modeling and Causal Inference	Computer Science
Simulation Techniques and Applications	Decision Sciences

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supports5 reference(s) recorded.
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