Results 51 to 60 of about 15,233,893 (167)
This study provides novel insights into the biogeographic patterns of the Sichuan golden snub‐nosed monkey, particularly in terms of habitat suitability and spatial‐use strategies. We found that habitat suitability has expanded over the past decade, with substantial shifts in the environmental factors influencing habitat suitability, from terrain and ...
Xueyu Wang +9 more
wiley +1 more source
Portable random number generators [PDF]
Computers are deterministic devices, and a computer-generated random number is a contradiction in terms. As a result, computer-generated pseudorandom numbers are fraught with peril for the unwary. We summarize much that is known about the most well-known
Gerald P. Dwyer, Jr., K. B. Williams
core
A tutorial on Bayesian model averaging for exponential random graph models
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
Efficient Monte Carlo filtering for discretely observed jumping processes [PDF]
This paper addresses a tracking problem in which the unobserved process is characterised by a collection of random jump times and associated random parameters.
Simon Godsill +5 more
core +1 more source
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley +1 more source
Pseudo-Random Number Generator [PDF]
One of the two project reports: The other part is designated PART A: MCMASTER (Off-Campus) PROJECT A simple and inexpensive pseudo-random number generator has been designed and built using linear feedback shift registers to generate rectangular and ...
Lam, Clement C.Y.
core
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley +1 more source
Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley +1 more source
A methodological framework for Monte Carlo probabilistic inference for diffusion processes [PDF]
The methodological framework developed and reviewed in this article concerns the unbiased Monte Carlo estimation of the transition density of a diffusion process, and the exact simulation of diffusion processes.
Papaspiliopoulos, Omiros
core
NAADF: Globally Illuminated Voxel Worlds Accelerated with Nested Axis‐Aligned Distance Fields
Abstract Achieving realistic rendering of 3D scenes in real time using path tracing is challenging due to the high sample count required, with ray tracing as the bottleneck. Focusing on voxels as a geometry representation offers significant opportunities for optimizations, especially for tracing the rays, but also for computing the samples.
A. Ulschmid +4 more
wiley +1 more source

