Results 141 to 150 of about 133,610 (281)
Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
The Scaling Limit of the Volume of Loop-<i>O</i>(<i>n</i>) Quadrangulations. [PDF]
Commun Math PhysAïdékon É, Da Silva W, Hu X.
europepmc +1 more source
A goodness‐of‐fit test for regression models with discrete outcomes
Canadian Journal of Statistics, EarlyView.Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source
Large-<i>n</i> asymptotics for Weil-Petersson volumes of moduli spaces of bordered hyperbolic surfaces. [PDF]
Commun Math PhysHide W, Thomas J.
europepmc +1 more source
Non‐negative Gaussian estimation of variance components in random effects models
Canadian Journal of Statistics, EarlyView.Abstract When used to estimate variance components (VCs), confidence intervals (CIs) can be truncated at zero, have a point estimate not in the quoted CI, be empty with positive probability, or be all‐inclusive. This is because they have conflicting dual roles, since they are considered to cover the parameter with a specified probability while also ...
André Plante, Michael Plante
wiley +1 more source
Enumeration of rooted binary perfect phylogenies. [PDF]
Discrete Appl MathShiff CE, Rosenberg NA.
europepmc +1 more source
Asymptotic Diophantine Approximations [PDF]
Proceedings of the National Academy of Sciences, 1966 openaire +2 more sources
A partial envelope approach for modelling multivariate spatial‐temporal data
Canadian Journal of Statistics, EarlyView.Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source