Results 171 to 180 of about 2,729 (236)
Long‐run confidence: Estimating uncertainty when using long‐run multipliers
Abstract Researchers are often interested in the long‐run relationship (LRR) between variables where the dependent variable has dynamic properties. Though determining the long‐run multiplier (LRM) for an independent variable is straightforward, correctly estimating the significance of the LRM is often difficult, especially when time series are short ...
Mark David Nieman, David A. M. Peterson
wiley +1 more source
Abstract Smallholder market participation studies often focus narrowly on selling decisions, overlooking the institutional role of agricultural cooperatives, particularly in contexts like Rwanda, where cooperatives underpin agricultural policy. Consequently, empirical evidence on how cooperative membership shapes farmers’ commercialization across ...
John N. Ng'ombe +3 more
wiley +1 more source
Low-Latency Realism Through Randomized Distributed Function Computations: A Shannon Theoretic Approach. [PDF]
Günlü O, Skorski M, Poor HV.
europepmc +1 more source
Abstract As students learn and practice new skills in university courses, their behaviour can change in response to competing demands and increasing content complexity. However, most metrics used to evaluate study behaviour focus on the number or sequence of activities rather than on the change of behaviour.
Oleksandra Poquet +2 more
wiley +1 more source
Higher-order regularity for a structurally damped plate equation on rough domains. [PDF]
Denk R, Roodenburg FB.
europepmc +1 more source
Abstract This study explores the impact of robot–LLM (Large Language Model) integration on collaborative creative writing, focusing on how embodiment and AI creativity influence various aspects of creative output. A total of 150 undergraduate students participated in a structured experimental design with five collaboration conditions: Human–Human (HH),
Yuqing Liu, Yao Song
wiley +1 more source
Modelling the spread of two successive SIR epidemics on a configuration model network. [PDF]
Ball F, Lashari AA, Sirl D, Trapman P.
europepmc +1 more source
A principle of subsequences in probability theory: The central limit theorem
openaire +1 more source
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

