Zobrazeno 1 - 10 of 501 pro vyhledávání: '"Fernández, Miguel Angel"'
1
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Reverb: Open-Source ASR and Diarization from Rev
Autor: Bhandari, Nishchal, Chen, Danny, Fernández, Miguel Ángel del Río, Delworth, Natalie, Fox, Jennifer Drexler, Jetté, Migüel, McNamara, Quinten, Miller, Corey, Novotný, Ondřej, Profant, Ján, Qin, Nan, Ratajczak, Martin, Robichaud, Jean-Philippe
Today, we are open-sourcing our core speech recognition and diarization models for non-commercial use. We are releasing both a full production pipeline for developers as well as pared-down research models for experimentation. Rev hopes that these rel
Externí odkaz: http://arxiv.org/abs/2410.03930
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2
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Performance of Cross-Validated Targeted Maximum Likelihood Estimation
Autor: Smith, Matthew J., Phillips, Rachael V., Maringe, Camille, Luque-Fernandez, Miguel Angel
Background: Advanced methods for causal inference, such as targeted maximum likelihood estimation (TMLE), require certain conditions for statistical inference. However, in situations where there is not differentiability due to data sparsity or near-p
Externí odkaz: http://arxiv.org/abs/2409.11265
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3
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Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic review
Autor: Smith, Matthew J., Phillips, Rachael V., Luque-Fernandez, Miguel Angel, Maringe, Camille
The Targeted Maximum Likelihood Estimation (TMLE) statistical data analysis framework integrates machine learning, statistical theory, and statistical inference to provide a least biased, efficient and robust strategy for estimation and inference of
Externí odkaz: http://arxiv.org/abs/2303.07329
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4
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The Delta-Method and Influence Function in Medical Statistics: a Reproducible Tutorial
Autor: Zepeda-Tello, Rodrigo, Schomaker, Michael, Maringe, Camille, Smith, Matthew J., Belot, Aurelien, Rachet, Bernard, Schnitzer, Mireille E., Luque-Fernandez, Miguel Angel
Approximate statistical inference via determination of the asymptotic distribution of a statistic is routinely used for inference in applied medical statistics (e.g. to estimate the standard error of the marginal or conditional risk ratio). One metho
Externí odkaz: http://arxiv.org/abs/2206.15310
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7
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Tutorial: Introduction to computational causal inference using reproducible Stata, R and Python code
Autor: Smith, Matthew J., Maringe, Camille, Rachet, Bernard, Mansournia, Mohammad A., Zivich, Paul N., Cole, Stephen R., Luque-Fernandez, Miguel Angel
The purpose of many health studies is to estimate the effect of an exposure on an outcome. It is not always ethical to assign an exposure to individuals in randomised controlled trials, instead observational data and appropriate study design must be
Externí odkaz: http://arxiv.org/abs/2012.09920
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