Results 81 to 90 of about 33,205 (174)
Towards Analysis of Covariance Descriptors via Bures–Wasserstein Distance
MathematicsA brain–computer interface (BCI) provides a direct communication pathway between the human brain and external devices, enabling users to control them through thought.
Huajun Huang +4 more
doaj +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
International Journal of Electrical Power & Energy SystemsWith the rapid expansion of large-scale clean energy bases in major energy-producing countries, high-quality scenario generation has become essential for effective energy management and intelligent scheduling.
Bo Wu +7 more
doaj +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
Stable and Fast Deep Mutual Information Maximization Based on Wasserstein Distance. [PDF]
Entropy (Basel), 2023 He X, Peng C, Wang L, Tan W, Wang Z.
europepmc +1 more source
Marchenko–Pastur Laws for Daniell Smoothed Periodograms
Journal of Time Series Analysis, EarlyView.ABSTRACT Given a sample X0,…,Xn−1$$ {X}_0,\dots, {X}_{n-1} $$ from a d$$ d $$‐dimensional stationary time series (Xt)t∈ℤ$$ {\left({X}_t\right)}_{t\in \mathbb{Z}} $$, the most commonly used estimator for the spectral density matrix F(θ)$$ F\left(\theta \right) $$ at a given frequency θ∈[0,2π)$$ \theta \in \left[0,2\pi \right) $$ is the Daniell smoothed ...
Ben Deitmar
wiley +1 more source
MathematicsWhat if machines could seamlessly translate between the visual richness of images and the semantic depth of language with mathematical precision? This paper presents a theoretical and empirical analysis of five novel cross-modal Wasserstein adversarial ...
Joseph Tafataona Mtetwa +2 more
doaj +1 more source
Relative Arbitrage Opportunities With Interactions Among N Investors
Mathematical Finance, EarlyView.ABSTRACT The relative arbitrage portfolio outperforms a benchmark portfolio over a given time‐horizon with probability one. With market price of risk processes depending on the market portfolio and investors, this paper analyzes the multi‐agent optimization of relative arbitrage opportunities in the coupled system of market and wealth dynamics.
Tomoyuki Ichiba, Nicole Tianjiao Yang
wiley +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
Infants and Mobiles: Developing an Understanding of Cause and Effect
Developmental Science, Volume 29, Issue 4, July 2026.ABSTRACT In the mobile conjugate reinforcement paradigm, an infant's leg is connected to a mobile via a string, allowing the infant to move the mobile via moving their leg. Over a few minutes, infants exhibit an increase in the frequency of movement of the connected leg.
Xia Xu, Jochen Triesch
wiley +1 more source