How to compute multivariate haldane rates?
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To compute multivariate Haldane rates, one can utilize stabilization methods and second-order Poincaré inequalities. These methods establish rates of multivariate normal convergence for vectors of statistics of marked Poisson processes as the intensity parameter tends to infinity. The rates are applicable for various distances and are unimprovable when compared to a centered Gaussian random vector. Additionally, multivariate Bayesian methods can be employed to borrow information across geographical areas and different cancer sites, leading to more precise estimates of cancer incidence rates. Furthermore, multivariate quantitative structure-activity relationship (QSAR) modeling can be used to predict reductive dehalogenation rates based on chemical and biological model systems, explaining a significant portion of the variation in the process.
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| To compute multivariate Haldane rates, utilize stabilization methods and second-order Poincaré inequalities for statistics in geometric probability as intensity parameter s tends to infinity. | |
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