Results 91 to 100 of about 23,924 (195)
On a class of norms generated by nonnegative integrable distributions
Dependence Modeling, 2019 We show that any distribution function on ℝd with nonnegative, nonzero and integrable marginal distributions can be characterized by a norm on ℝd+1, called F-norm. We characterize the set of F-norms and prove that pointwise convergence of a sequence of F-
Falk Michael, Stupfler Gilles
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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
, 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
Rapid postfire color shift in a Mediterranean lizard
Journal of Zoology, EarlyView.We quantified dorsal luminosity and color composition of Psammodromus algirus in burned and adjacent unburned habitats at different times since fire. Lizards inhabiting recently burned areas displayed lighter dorsal coloration, particularly during the early stages of postfire succession, with the effect being more pronounced in larger individuals ...
L. Álvarez‐Ruiz +2 more
wiley +1 more source
A finitely stable edit distance for merge trees
AIMS MathematicsIn this paper, we defined a novel edit distance for merge trees, which we argued to be suitable for a broad range of applications. Relying also on some technical results contained in other works, we investigated its stability properties, which ended up ...
Matteo Pegoraro
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Bridging classical data assimilation and optimal transport: the 3D-Var case [PDF]
Nonlinear Processes in GeophysicsBecause optimal transport (OT) acts as displacement interpolation in physical space rather than as interpolation in value space, it can avoid double-penalty errors generated by mislocations of geophysical fields.
M. Bocquet +4 more
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S2‐PepAnalyst: A Web Tool for Predicting Plant Small Signalling Peptides
Plant Biotechnology Journal, EarlyView.ABSTRACT Small signalling peptides (SSPs) serve as crucial mediators of cell‐to‐cell communication in plants, orchestrating diverse physiological processes from development to stress responses. While recent advances in sequencing technologies have improved genome annotation, the identification of novel SSPs remains challenging due to their small size ...
Kelly L. Vomo‐Donfack +5 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
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Sliced Wasserstein Geodesics and Equivalence Wasserstein and Sliced Wasserstein metrics
6 pages, 1 figure ...
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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
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