Results 11 to 20 of about 89 (73)

A Note on Degenerate Bernstein and Degenerate Euler Polynomials

open access: yes, 2018
In this paper, we investigate the recently introduced degenerate Bernstein polynomials and operators and derive some of their properties. Also, we give some properties of the degenerate Euler numbers and polynomials and their connection with the degenerate Euler polynomials.
Taekyun Kim, Dae San Kim
openaire   +2 more sources

Coupling Fluid Neutrals to Gyrokinetic Plasma Dynamics for Edge and SOL Turbulence Simulations

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT Accurate modeling of turbulent transport in magnetic confinement fusion devices requires extending first‐principles gyrokinetic simulations from the core to the edge and scrape‐off layer (SOL), where additional physics—particularly plasma–neutrals interactions—must be included.
Sabine Ogier‐Collin   +3 more
wiley   +1 more source

Sense of Coherence in the Perinatal Period: A Longitudinal Growth Mixture Modeling Analysis

open access: yesJournal of Clinical Psychology, EarlyView.
ABSTRACT Objectives Previous studies have established that higher Sense of Coherence (SoC) predicts lower pregnancy‐specific distress, fewer delivery complications, and increased birth satisfaction. However, less is known about how SoC typically changes over pregnancy, birth, and postnatally and the risk factors and protective factors contributing to ...
Kelsey Perrykkad   +4 more
wiley   +1 more source

Exploring Asymptotic Normality in Multinomial Models

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Among the methods for analyzing categorical outcomes, the multinomial model offers a robust framework for examining the dependence between a multi‐category response variable and a set of explanatory variables. Its flexibility, versatility, and broad applicability across diverse fields make it a valuable tool, as it does not impose strict ...
Célia Nunes   +3 more
wiley   +1 more source

Parallel Vectors Extraction using Bézier Clipping

open access: yesComputer Graphics Forum, EarlyView.
Abstract In this paper, we propose a novel local feature extraction algorithm for the parallel vectors (PV) operator. Our method is based on Bézier clipping, which is a bracketing‐based root finding method that is commonly‐used in computer‐aided geometric design.
Nico Daßler, Tobias Günther
wiley   +1 more source

Goodness‐of‐Fit Tests for Positive Quadrant Dependence

open access: yesInternational Statistical Review, EarlyView.
Summary When two random variables are positive quadrant dependent (PQD), they are more likely to assume small (or large) values simultaneously compared with when the random variables are independent. This dependence structure is of interest in many areas, including finance, actuarial science and engineering.
Chuan‐Fa Tang, Joshua M. Tebbs
wiley   +1 more source

Detecting Relevant Deviations From the White Noise Assumption for Non‐Stationary Time Series

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We consider the problem of detecting deviations from a white noise assumption in time series. Our approach differs from the numerous methods proposed for this purpose with respect to two aspects. First, we allow for non‐stationary time series. Second, we address the problem that a white noise test is usually not performed because one believes ...
Patrick Bastian
wiley   +1 more source

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

open access: yesJournal 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

Bayesian Inference for Multivariate Monotone Densities

open access: yesScandinavian Journal of Statistics, EarlyView.
ABSTRACT We consider a nonparametric Bayesian approach to estimation and testing for a multivariate monotone density. Instead of following the conventional Bayesian approach of imposing a prior that satisfies the monotonicity restriction, we place a prior on the step heights via binning and a Dirichlet distribution. The resulting posterior distribution
Kang Wang, Subhashis Ghosal
wiley   +1 more source

Transformation Discriminant Analysis for Constructing Optimal Biomarker Combinations

open access: yesStatistics in Medicine, Volume 45, Issue 15-17, July 2026.
ABSTRACT Accurate diagnostic tests are essential for effective screening and treatment. However, individual biomarkers often fail to provide sufficient diagnostic accuracy, as they typically capture only one aspect of the complex disease process. Combining multiple biomarkers, each capturing a distinct mechanism, can help construct more informative ...
Ainesh Sewak   +2 more
wiley   +1 more source

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