Results 111 to 120 of about 24,886 (258)

Density‐Valued ARMA Models by Spline Mixtures

open access: yesJournal 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

Accurate Identification Method of Small-Size Polymetallic Nodules Based on Seafloor Hyperspectral Data

open access: yesJournal of Marine Science and Engineering
Polymetallic nodules are spherical or ellipsoidal mineral aggregates formed naturally in deep-sea environments. They contain a variety of metallic elements and are important solid mineral resources on the seabed.
Kai Sun   +6 more
doaj   +1 more source

The Wasserstein-Fisher-Rao metric for waveform based earthquake location [PDF]

open access: green, 2018
Datong Zhou   +4 more
openalex   +1 more source

Wasserstein metric and subordination [PDF]

open access: yesStudia Mathematica, 2008
Philippe Clément, Wolfgang Desch
openaire   +1 more source

Testing Distributional Granger Causality With Entropic Optimal Transport

open access: yesJournal 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

Advancing scenario generation in large-scale clean energy bases via enhanced hyperparameter optimization techniques

open access: yesInternational Journal of Electrical Power & Energy Systems
With 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

Marchenko–Pastur Laws for Daniell Smoothed Periodograms

open access: yesJournal 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

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