Results 31 to 40 of about 240,072 (202)
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
Partial identification with categorical data and nonignorable missing outcomes
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
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
En Haïti, les systèmes agricoles sont fortement vulnérables au changement climatique. Cette étude vise à analyser la pertinence d’une démarche de co-conception de stratégies d’adaptation des exploitations agricoles au changement climatique dans une zone ...
Jules Justafort +3 more
doaj +1 more source
A goodness‐of‐fit test for regression models with discrete outcomes
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
A partial envelope approach for modelling multivariate spatial‐temporal data
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
Abstract Background There is emerging evidence for the role of the immune system in osteoarthritis (OA) pathophysiology; however, little is known about how immune cells and the synovial transcriptome are altered in naturally occurring equine OA. Objectives To evaluate synovial fluid (SF) and synovial membrane (SM) immune cell populations and the SM ...
E. J. Secor +7 more
wiley +1 more source
La question de l’acidification des eaux des lacs a fait l’objet de nombreux travaux scientifiques dans les pays du nord de l’Europe et d’Amérique du Nord.
Van Tuan Nghiem +2 more
doaj +1 more source
Ce travail presente une mise au point de modeles d'environnement bases sur une procedure iterative qui evolue suivant quatre etapes interdependantes: la recolte des donnees qui a fourni la base indispensable au choix des processus physiques a analyser; ces derniers ont ete decrits par un modele mathematique dont les equations differentielles traitees ...
openaire +3 more sources
Experimental and numerical study of laser-assisted machining of Ti6Al4V titanium alloy [PDF]
Laser-assisted machining combines several experimental parameters such as cutting speed, feed rate, depth of cut, laser power and distance between tool rake face and the laser beam axis.
AYED, Yessine +3 more
core +6 more sources

