Results 141 to 150 of about 97,330 (246)

Multi-Model Ensembles in Infectious Disease and Public Health: Methods, Interpretation, and Implementation in R. [PDF]

Stat Med
Shandross L, Howerton E, Contamin L, Hochheiser H, Krystalli A, Consortium of Infectious Disease Modeling Hubs, Reich NG, Ray EL.   +7 more
europepmc   +1 more source

Playing with fire? A mean‐field game analysis of fire sales and systemic risk under regulatory capital constraints

Canadian Journal of Statistics, EarlyView.
Abstract We analyze the effect of regulatory capital constraints on financial stability in a large homogeneous banking system using a mean‐field game (MFG) model. Each bank holds cash and a tradable risky asset. Banks choose absolutely continuous trading rates in order to maximize expected terminal equity, with trades subject to transaction costs ...
Rüdiger Frey, Theresa Traxler
wiley   +1 more source

Leveraging Rank Information for Robust Regression Analysis: A Nomination Sampling Approach. [PDF]

Stat Med
Loewen N, Jafari Jozani M.
europepmc   +1 more source

Bayesian clustering of multivariate extremes

Canadian Journal of Statistics, EarlyView.
Abstract The asymptotic dependence structure between multivariate extreme values is fully characterized by their projections on the unit simplex. Under mild conditions, the only constraint on the resulting distributions is that their marginal means must be equal, which results in a nonparametric model that can be difficult to use in applications ...
Sonia Alouini, Anthony C. Davison
wiley   +1 more source

Triglyceride-glucose-related indices and cardiovascular outcomes in individuals with pre-frailty or frailty: insights from a prospective cohort analysis using UK Biobank data. [PDF]

Cardiovasc Diabetol
Tian Z, Xue F, Chen A, Huang Y, Su X.
europepmc   +1 more source

Causal analysis of extreme risk in a network of industry portfolios

Canadian Journal of Statistics, EarlyView.
Abstract We provide a detailed review of causal dependence within the framework of max‐linear structural models. Such models express each node variable as a max‐linear function of its parental node variables in a directed acyclic graph (DAG) and some exogenous innovation.
Claudia Klüppelberg, Mario Krali
wiley   +1 more source

Machine Learning and SHapley Additive exPlanation-Based Interpretation for Predicting Mastitis in Dairy Cows. [PDF]

Animals (Basel)
Zhou X, Qu Y, Xu C, Wang H, Lang D, Jia B, Jiang N.   +6 more
europepmc   +1 more source

Joint modelling of annual precipitation maxima over several durations for the construction of intensity–duration–frequency curves

Canadian Journal of Statistics, EarlyView.
Abstract Intensity–duration–frequency curves are used by a wide range of professionals to manage the risks related to extreme rainfall. In Canada, these curves are produced by Environment and Climate Change Canada on the basis of Gumbel distributions fitted independently for each accumulation period.
Paul Mathivon, Christian Genest, Jonathan Jalbert   +2 more
wiley   +1 more source

Early childhood blood pressure trajectories in very low birth weight offspring: is there a legacy of maternal hypertension? [PDF]

J Pediatr (Rio J)
Vergani DOP, Madi JM, de Aguiar LG, Canello VR, Balbinot TC, Lorenzet L, Selistre LDS, de Souza VC.   +7 more
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, Christian Genest, Johanna G. Nešlehová   +2 more
wiley   +1 more source