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Starting from the very elementary example of histograms we present a general notion of finite dimensional model for statistical estimation and we explain what type of risk bounds can be expected from the use of one such model.
4. Skerritt-Davis, B. & Elhilali, M. A Model for Statistical Regularity Extraction from Dynamic Sounds.
Phrase-Based Joint Probability Model for Statistical Machine Translation, Daniel Marcu, Kevin Knight, William Wong and Philipp Koehn, United States Patent 7454326, awarded 2008, pdf.
Various interaction terms were tested in the multivariable model for statistical significance.
The best fitted model for statistical analysis was considered significant when P value <0.05.
Survival was calculated by Kaplan Meier estimate, using log-rank test and Cox regression model for statistical analysis.
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Three Generative, Lexicalised Models for Statistical Parsing.
Three generative, lexicalised models for statistical parsing.
Owing to the success of deep learning techniques in automatic speech recognition, deep neural networks (DNNs) have been used as acoustic models for statistical parametric speech synthesis (SPSS).
Large and Diverse Language Models for Statistical Machine Translation, Holger Schwenk and Philipp Koehn, IJCNLP 2008, pdf.
We used generalized mixed-effects models for statistical analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com