Results 151 to 160 of about 90,668 (272)

Mapping Escolar (Lepidocybium flavobrunneum) in Motion: Oceanographic Forces Shaping Its Habitat in the Southwestern South Atlantic, With Insights From Fishers' Perceptions

Fisheries Oceanography, EarlyView.
ABSTRACT Lepidocybium flavobrunneum [Smith, 1843], commonly known as escolar, is a large pelagic species, important for global and local fisheries, particularly in the southwestern South Atlantic Ocean (SWAO), where it constitutes a significant portion of the catch.
Lucas Rodrigues, Maria Grazia Pennino, Paul Gerhard Kinas, David Conesa, Alba Fuster‐Alonso, Andrés Domingo, Rodrigo Forselledo, Federico Mas, Bruno Mourato, Rodrigo Sant'Ana, Vinni Santos Thykjaer, Raquel Virginia Marquez Marquez, Abner Ventura Alves, Mariano Cabanillas‐Torpoco, Rafael Schroeder, Luis Gustavo Cardoso   +15 more
wiley   +1 more source

Time fractional modeling of MHD natural convection flow between parallel plates via caputo-fabrizio integral. [PDF]

Sci Rep
Masood K.
europepmc   +1 more source

Analytical Method in Two Dimensional Inverse Heat Conduction Problem Using Laplace Transformation.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B, 2002
Masanori MONDE, Hirofumi ARIMA, Yuhichi MITSUTAKE, Wei LIU, Jaffar A. HAMMAD   +4 more
openaire   +2 more sources

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

International Statistical Review, EarlyView.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing, Michail Papathomas, Silvia Liverani   +2 more
wiley   +1 more source

Fundamental Solutions to Fractional Heat Conduction in Two Joint Half-Lines Under Conditions of Nonperfect Thermal Contact. [PDF]

Entropy (Basel)
Povstenko Y, Kyrylych T, Dashkiiev V, Yatsko A.   +3 more
europepmc   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Analyzing the impact of a discounted parameter on the reduction of collision time in Brownian particle trajectories. [PDF]

Sci Rep
El-Hadidy MAA, Alraddadi R.
europepmc   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

Lévy Diffusion Under Power-Law Stochastic Resetting. [PDF]

Entropy (Basel)
Liu J, Li Y, Marchesoni F.
europepmc   +1 more source

Robust CDF‐Filtering of a Location Parameter

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania, Andrew C. Harvey, Alessandra Luati   +2 more
wiley   +1 more source