Results 111 to 120 of about 83,338 (291)

Joint Spatiotemporal Models for the Estimation of Prey Consumption and Predator–Prey Overlap: Dynamics of Pacific Cod Predation on Snow and Tanner Crab in the Eastern Bering Sea

Fisheries Oceanography, EarlyView.
ABSTRACT Pacific cod (Gadus macrocephalus) are important predators of juvenile snow (Chionoecetes opilio) and Tanner crab (Chionoecetes bairdi) in the eastern Bering Sea (EBS), yet the relationship between cod–crab spatial overlap and total crab consumption is only partially understood.
Jonathan C. P. Reum, James T. Thorson, Erin J. Fedewa   +2 more
wiley   +1 more source

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

Spectrum Reconstruction for Laplace NMR: From Handcraft Regularization to Deep Learning

Chinese Journal of Magnetic Resonance
Laplace NMR can provide information on diffusion coefficients or relaxation time, serving as a powerful technology for studying molecular structure, dynamics, and interactions in samples.
YANG Yu, CHEN Bo, WU Liubin, LIN Enping, HUANG Yuqing, CHEN Zhong   +5 more
doaj   +1 more source

Inverse Laplace Transform for Bi-Complex Variables [PDF]

, 2014
Abhijit Banerjee, Sanjib Kumar Datta, Md. Azizul Hoque   +2 more
openalex   +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

Numerical Solution of Linear Second-Kind Convolution Volterra Integral Equations Using the First-Order Recursive Filters Method

Mathematics
A new numerical method for solving Volterra linear convolution integral equations (CVIEs) of the second kind is presented in this work. This new approach uses first-order infinite impulse response digital filters method (IIRFM). Three convolutive kernels
Rodolphe Heyd
doaj   +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

Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models

Journal of Time Series Analysis, EarlyView.
ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley   +1 more source

Alternative Method for Determining the Feynman Propagator of a Non-Relativistic Quantum Mechanical Problem

Symmetry, Integrability and Geometry: Methods and Applications, 2007
A direct procedure for determining the propagator associated with a quantum mechanical problem was given by the Path Integration Procedure of Feynman. The Green function, which is the Fourier Transform with respect to the time variable of the propagator,
Marcos Moshinsky, Emerson Sadurní, Adolfo del Campo   +2 more
doaj  

Numerical inversion of Laplace transform

Electronics Letters, 1969
An explicit formula for the inversion of the Laplace transform is derived. The formula permits the inverse to be readily evaluated numerically.
openaire   +1 more source