Results 111 to 120 of about 84,615 (280)
Developing a macroecology for human‐altered ecosystems
Although anthropogenically‐induced ecological disruptions are fundamentally important in defining ecosystem properties, they are largely overlooked by macroecological theory. Anthropogenic disruptions and their effects are generally not comparable to one another, nor to disturbances that are part of natural disturbance regimes.
Erica A. Newman +7 more
wiley +1 more source
Migration is challenging for birds, especially juveniles, who experience high mortality rates during migration. The challenge is exacerbated in the Anthropocene, contributing to widespread population declines. Conservation efforts focused on increasing juvenile survival could bolster population recovery.
Dylan M. Osterhaus +2 more
wiley +1 more source
Model Space Priors for Objective Sparse Bayesian Regression
This paper investigates the construction of model space priors from an alternative point of view to the usual indicators for inclusion of covariates in a given model.
Fuentes, Claudio +2 more
core
Phenotyping patients with chronic obstructive pulmonary disease and heart failure
Central illustration. Abbreviations: ACEi, angiotensin‐converting enzyme inhibitor; ARB, angiotensin receptor blocker; ARNi, angiotensin‐receptor‐neprilysin inhibitor; CI, confidence interval; COPD, chronic obstructive pulmonary disease; CRT, cardiac resynchronization therapy; CV, cardiovascular; EF, ejection fraction; eGFR, estimated glomerular ...
Peter Moritz Becher +12 more
wiley +1 more source
ABSTRACT Risk‐based seismic assessments using demand curves that provide mean annual exceedance rates for various system demand levels are increasingly being adopted. Such assessments combine the seismic hazard curve with fragility functions for each demand level, serving as a basis to quantify the average annual losses from system damage. Constructing
Zeyad Khalil +2 more
wiley +1 more source
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch +3 more
wiley +1 more source
The Distribution of Order Statistics Under Sampling Without Replacement
This paper examines the distribution of order statistics taken from simple-random-sampling without replacement (SRSWOR) from a finite population with values $$1,\dots ,N$$ 1 , ⋯ , N .
B. O’Neill
doaj +1 more source
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu +3 more
wiley +1 more source
Quadratic Hedging of American Options Under GARCH Models
ABSTRACT American options are widely traded in financial markets, yet there is a scarcity of literature on hedging in incomplete markets. In this paper, we derive optimal hedging ratios and option values using Local Risk Minimization (LRM) and Global Risk Minimization (GRM) hedging strategies through dynamic programming.
Junmei Ma, Chen Wang, Wei Xu
wiley +1 more source

