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
Asymptotics of Symmetric Polynomials: A Dynamical Point of View. [PDF]
Commun Math PhysGuionnet A, Huang J.
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
Modeling and analysis of stochastic quantum magnetohydrodynamics equations with energy estimates. [PDF]
Sci RepDivyabala K, Durga N.
europepmc +1 more source
The central limit theorem under random truncation. [PDF]
Bernoulli (Andover), 2008 Stute W, Wang JL.
europepmc +1 more source
Jackknife bias‐corrected variance estimation for the generalized regression estimator
Canadian Journal of Statistics, EarlyView.Abstract Commonly used variance estimators for the generalized regression estimator (GREG) are based on Taylor linearization and jackknife. Traditionally, a jackknife GREG variance estimator is obtained by jackknifing GREG, which consists of computing GREG from each of several subsamples of the parent sample, and estimating the variance of the parent ...
Marius Stefan, J.N.K Rao
wiley +1 more source
A Mathematical Analysis of IPT-DMFT. [PDF]
Commun Math PhysCancès E, Kirsch A, Perrin-Roussel S.
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
The Central Limit Theorem for th-Order Nonhomogeneous Markov Information Source
Journal of Probability and Statistics, 2013 Huilin Huang
doaj +1 more source
Evolution of a trait distributed over a large fragmented population: propagation of chaos meets adaptive dynamics. [PDF]
J Math BiolLambert A +3 more
europepmc +1 more source