Results 91 to 100 of about 24,182 (212)
Journal of Fish Biology, EarlyView.Abstract Electroanaesthesia using electric fish handling gloves induced rapid and reversible sedation of Atlantic mackerel (Scomber scombrus) during surgical tagging without observable adverse effects on behaviour or tag retention. In the laboratory, survival analyses revealed that longer handling times and smaller body sizes significantly reduced ...
Caliyena R. Brown +4 more
wiley +1 more source
Distributionally Robust Energy Optimization with Renewable Resource Uncertainty
MathematicsWith the increasing prevalence of intermittent power generation, the volatility, intermittency, and randomness of renewable energy pose significant challenges to the planning and operation of distribution networks.
Zhangyi Wang +5 more
doaj +1 more source
, 2017 The Wasserstein distance between two probability measures on a metric space is a measure of closeness with applications in statistics, probability, and machine learning.
Bach, Francis, Weed, Jonathan
core
Validation of machine learning based scenario generators
Journal of Risk and Insurance, EarlyView.Abstract Machine learning (ML) methods are becoming increasingly important for designing economic scenario generators for internal models. Validating data‐driven models requires different methods than validating classical, theory‐based models. We discuss two novel aspects of such validation: first, checking the multivariate distribution of risk factors,
Gero Junike, Solveig Flaig, Ralf Werner
wiley +1 more source
Density‐Valued ARMA Models by Spline Mixtures
Journal of Time Series Analysis, EarlyView.ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley +1 more source
Sliced Wasserstein Geodesics and Equivalence Wasserstein and Sliced Wasserstein metrics
6 pages, 1 figure ...
openaire +2 more sources
Vietoris–Rips metric thickenings and Wasserstein spaces
, 2020 If the vertex set, X, of a simplicial complex, K, is a metric space, then K can be interpreted as a subset of the Wasserstein space of probability measures on X. Such spaces are called simplicial metric thickenings, and a prominent example is the Vietoris–Rips metric thickening.
Mirth, Joshua, author +4 more
openaire +1 more source
Testing Distributional Granger Causality With Entropic Optimal Transport
Journal of Time Series Analysis, EarlyView.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
Optimal transport on gas networks
European Journal of Applied MathematicsOptimal transport tasks naturally arise in gas networks, which include a variety of constraints such as physical plausibility of the transport and the avoidance of extreme pressure fluctuations. To define feasible optimal transport plans, we utilize a
Ariane Fazeny +2 more
doaj +1 more source
A note on the Bures-Wasserstein metric
, 2023 In this brief note, it is shown that the Bures-Wasserstein (BW) metric on the space positive definite matrices lends itself to convex optimization. In other words, the computation of the BW metric can be posed as a convex optimization problem. In turn, this leads to efficient computations of (i) the BW distance between convex subsets of positive ...
openaire +2 more sources