This study contributes to this debate by addressing two questions: (1) what factors are most predictive of Peace River IJFs, and (2) how might climate change impact IJF frequency?

APPLICATIONS

Results indicate, for the class of distributions tested, that the optimal number of quantile-spacings is a fixed fraction of the sample size (empirically determined to be ~0. 25-0. 35), and that this value is relatively insensitive to distributional form or sample size, providing a clear advantage over BC since hyperparameter tuning is not required.

METHODOLOGY INFORMATION THEORY INFORMATION THEORY 94A15

A case-control study is designed to help determine if an exposure is associated with an outcome.

METHODOLOGY APPLICATIONS

To overcome this challenge, first we introduce a new class of causal estimands under a stochastic intervention (i. e., increasing the odds of issuing a heat alert) for a single time series corresponding to a given location.

APPLICATIONS METHODOLOGY

In response, we propose the "c-value" as a measure of confidence that a new estimate achieves smaller loss than an old estimate on a given dataset.

METHODOLOGY

Health economic models simulate the costs and effects of health technologies for use in health technology assessment (HTA) to inform efficient use of scarce resources.

APPLICATIONS

We provide the first stochastic convergence rates for adaptive Gauss--Hermite quadrature applied to normalizing the posterior distribution in Bayesian models.

METHODOLOGY

Thanks to the intrinsic infinite dimension of functional data, one of two subtypes of CCC enjoys the (asymptotic) zero misclassification rate.

METHODOLOGY 62G08, 62H30

The analysis of longitudinal, heterogeneous or unbalanced clustered data is of primary importance to a wide range of applications.

METHODOLOGY COMPUTATION

Modeling fuzziness and imprecision in human rating data is a crucial problem in many research areas, including applied statistics, behavioral, social, and health sciences.

APPLICATIONS METHODOLOGY 62P25, 62-08, 62P15