Results 21 to 30 of about 1,202,565 (290)
Sensors, 2006 The performance of weak gaseous plume-detection methods in hyperspectral long-wave infrared imagery depends on scene-specific conditions such at the ability to properly estimate atmospheric transmission, the accuracy of estimated chemical signatures, and
Nicolas Hengartner, Tom Burr
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Optimal model averaging estimator for multinomial logit models
Statistical Theory and Related Fields, 2022 In this paper, we study optimal model averaging estimators of regression coefficients in a multinomial logit model, which is commonly used in many scientific fields.
Rongjie Jiang, Liming Wang, Yang Bai
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jModelTest: Phylogenetic Model Averaging [PDF]
Molecular Biology and Evolution, 2008 jModelTest is a new program for the statistical selection of models of nucleotide substitution based on "Phyml" (Guindon and Gascuel 2003. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol. 52:696-704.).
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Model Averaging in Economics [PDF]
SSRN Electronic Journal, 2011 Model uncertainty remains a challenge to applied researchers in economics. When many competing models are available for estimation and without enough guidance from theory, model averaging represents an alternative to model selection. Despite model averaging approaches have been present in statistics for many years, only over the recent decades are ...
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Sensitivity of Survival Analysis Metrics
Mathematics, 2023 Survival analysis models allow for predicting the probability of an event over time. The specificity of the survival analysis data includes the distribution of events over time and the proportion of classes.
Iulii Vasilev +2 more
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Application of Bayesian model averaging to measurements of the primordial power spectrum [PDF]
, 2010 Cosmological parameter uncertainties are often stated assuming a particular model, neglecting the model uncertainty, even when Bayesian model selection is unable to identify a conclusive best model.
Andrew R. Liddle +6 more
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Model Averaged Double Robust Estimation
Biometrics, 2016 Summary Researchers estimating causal effects are increasingly challenged with decisions on how to best control for a potentially high-dimensional set of confounders. Typically, a single propensity score model is chosen and used to adjust for confounding, while the uncertainty surrounding which covariates to include into the propensity ...
Cefalu, Matthew +3 more
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Capture‐recapture using multiple data sources: estimating the prevalence of diabetes
Australian and New Zealand Journal of Public Health, 2012 Objective: To examine the potential for using multiple list sources and capture‐recapture methods for estimating the prevalence of diagnosed diabetes. Method: A model‐averaging procedure using an adjusted Akaike's Information Criterion (QAICc) was used ...
Claire M. Cameron +3 more
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Autocorrelation and Parameter Estimation in a Bayesian Change Point Model
Mathematics, 2023 A piecewise function can sometimes provide the best fit to a time series. The breaks in this function are called change points, which represent the point at which the statistical properties of the model change.
Rui Qiang, Eric Ruggieri
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Detrending the Waveforms of Steady-State Vowels
Entropy, 2020 Steady-state vowels are vowels that are uttered with a momentarily fixed vocal tract configuration and with steady vibration of the vocal folds. In this steady-state, the vowel waveform appears as a quasi-periodic string of elementary units called pitch ...
Marnix Van Soom, Bart de Boer
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