Articles with "estimation via" as a keyword



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Finite time estimation via piecewise constant measurements

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Published in 2018 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2018.07.330

Abstract: Abstract We study a broad class of linear continuous-time time-varying systems that contain piecewise continuous disturbances and piecewise constant outputs. Under an observability assumption, we construct a new type of observer to estimate the state… read more here.

Keywords: finite time; piecewise constant; time; via piecewise ... See more keywords
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Ultrasensitive velocity estimation via cyclic weak measurement

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Published in 2020 at "Optics Communications"

DOI: 10.1016/j.optcom.2019.125117

Abstract: Abstract The weak-value-amplification technique has been shown to be advantageous for precision metrology. Previous weak-value-based applications have used only a small fraction of data while discarding the rest during post-selection. Here we consider the use… read more here.

Keywords: weak value; velocity estimation; velocity; ultrasensitive velocity ... See more keywords
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LINES: Log-Probability Estimation via Invertible Neural Networks for Enhanced Sampling.

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Published in 2022 at "Journal of chemical theory and computation"

DOI: 10.1021/acs.jctc.2c00254

Abstract: It is very challenging to sample a molecular process with large activation energies using molecular dynamics simulations. Current enhanced sampling methodologies, such as umbrella sampling and metadynamics, rely on the identification of appropriate reaction coordinates… read more here.

Keywords: enhanced sampling; probability estimation; reaction; log probability ... See more keywords
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Prevalence ratio estimation via logistic regression: a tool in R.

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Published in 2021 at "Anais da Academia Brasileira de Ciencias"

DOI: 10.1590/0001-3765202120190316

Abstract: The interpretation of odds ratios (OR) as prevalence ratios (PR) in cross-sectional studies have been criticized since this equivalence is not true unless under specific circumstances. The logistic regression model is a very well known… read more here.

Keywords: logistic regression; regression; tool; prevalence ... See more keywords