Fast Bayesian Multilevel Quasi-Monte Carlo
Existing multilevel quasi-Monte Carlo (MLQMC) methods often rely on multiple independent randomizations of a low-discrepancy (LD) sequence to estimate statistical errors on each level. While this approach is standard, it can be less efficient than simply increasing the number of points from a single LD sequence.
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Liu Y, Xiao S, Li Y.
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Wojtasiński M +7 more
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A Variance Estimator for Marginal Cox Regression Models Fit to Non-Nested Multilevel Data. [PDF]
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Comparing Bayesian estimation and structural-after-measurement approaches for structural equation models with latent interactions and complex data structures. [PDF]
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How classroom climate is linked to prosocial behavior in undergraduate students: a multilevel moderated mediation model of feedback expectation and self-monitoring. [PDF]
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Understanding regional disparities in obesity: a multiscale geographically weighted analysis in the United States. [PDF]
Amponsah JK, Thompson JA, Ellis SD.
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Transcriptomic Profiling of Long COVID-19 in Patients with Interstitial Lung Disease Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation. [PDF]
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The effectiveness of heat prevention plans in reducing heat-related mortality across Europe. [PDF]
Urban A +29 more
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