Results 91 to 100 of about 3,168 (213)
Biological reference points are key quantities provided by stock assessments and used in fishery management for evaluating fishery status and setting future catch levels. For many fisheries worldwide, biological reference points are based on the spawning
Kyle W. Shertzer +2 more
doaj +1 more source
Strategy‐Situation Fit of Proactive Emotion Regulation and the Role of Personality
ABSTRACT Introduction Research on emotion regulation has primarily focused on reactive strategies, while proactive emotion regulation remains less understood. This study investigates proactive emotion regulation through situation selection, where individuals deliberately choose environments to promote desirable emotional outcomes, and examines how this
Mario Wenzel, Zarah Rowland
wiley +1 more source
Characteristic Analysis and Modeling of Train-to-Train Wireless Channel in Station Scenario
In this paper, ray tracing (RT) is used to analyze the characteristics of train-to-train (T2T) wireless channel in 2.1 GHz frequency band, including path loss, multipath clustering, delay spread, Rice factor, angular spread, and channel nonstationarity ...
Yingfei Liu +4 more
doaj +1 more source
Noise Cancellation with Static Mixtures of a Nonstationary Signal and Stationary Noise
We address the problem of cancelling a stationary noise component from its static mixtures with a nonstationary signal of interest. Two different approaches, both based on second-order statistics, are considered. The first is the blind source separation (
Sharon Gannot, Arie Yeredor
doaj +1 more source
Testing Distributional Granger Causality With Entropic Optimal Transport
ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley +1 more source
Water scientists and managers currently face the question of whether trends in climate variables that affect water supplies and hazards can be anticipated.
Nir Y Krakauer, Balázs M Fekete
doaj +1 more source
Local Nonstationarity for Efficient Bayesian Optimization
Bayesian optimization has shown to be a fundamental global optimization algorithm in many applications: ranging from automatic machine learning, robotics, reinforcement learning, experimental design, simulations, etc. The most popular and effective Bayesian optimization relies on a surrogate model in the form of a Gaussian process due to its ...
openaire +2 more sources
Estimation of the Intercept Parameter in Integrated Galton–Watson Processes
ABSTRACT We study the estimation of the intercept parameter in an integrated Galton–Watson process, an important building block for many count‐valued time series models. In this unit root setting, the ordinary least squares estimator is known to be inconsistent, whereas the existing weighted least squares (WLS) estimator is consistent only in the case ...
Yang Lu
wiley +1 more source
Parametric Time‐Variation in the Unconditional Volatility: Estimation and Inference
ABSTRACT We propose modeling time‐variation in the unconditional volatility by augmenting the standard GARCH model by a deterministic time‐varying intercept. The model, called the additive time‐varying (ATV‐)GARCH model, can be interpreted as a reduced form of a model including covariates and can be derived from a multiplicative decomposition of ...
Niklas Ahlgren +2 more
wiley +1 more source
Education and the Shadow Economy: A Panel Cointegration Analysis
ABSTRACT This study examines the impact of education on the shadow economy across 132 countries over the period 1991–2020. To this end, panel cointegration and panel error‐correction models are employed. The results of the panel cointegration tests indicate a stable long‐term relationship among the selected variables.
Salvatore Ciucci
wiley +1 more source

