13 papers · ranked by Valyu relevance
Alexis Compton, Benjamin W. Roop, Benjamin Parrell, Adam C. Lammert
Human perception depends upon internal representations of the environment that help to organize the raw information available from the senses by acting as reference patterns. Internal representations are widely characterized using reverse correlation, a method capable of producing unconstrained estimates of the…
Benjamin W. Roop, Benjamin Parrell, Adam C. Lammert
Uncovering cognitive representations is an elusive goal that is increasingly pursued using the reverse correlation method, wherein human subjects make judgments about ambiguous stimuli. Employing reverse correlation often entails collecting thousands of stimulus-response pairs, which severely limits the breadth of…
Sen Yan, Catherine Soladié, Jean-Julien Aucouturier, Renaud Seguier + 1 more
'Chenchu Xu'] Recent deep-learning techniques have made it possible to manipulate facial expressions in digital photographs or videos, however, these techniques still lack fine and personalized ways to control their creation. Moreover, current technologies are highly dependent on large labeled databases, which limits…
Mohammed Albadrani, Parvez Ali, Waleed H. El-Garaihy, Hassan Abd El-Hafez + 2 more
'Hassan Abd El-Hafez' 'Jerzy P. Lukaszewicz' 'Piotr Kamedulski'] Over the past few years, the popularity of graphene as a potential 2D material has increased since graphene-based materials have applications in a variety of fields, including medicine, engineering, energy, and the environment. A large number of graphene…
Nan Zhang, Heng Xu, Manuel J. Vaulont, Zhen Zhang
Two potential obstacles stand between the observation of a statistical correlation and the design (and deployment) of an effective intervention, omitted variable bias and reverse causality. Whereas the former has received ample attention, comparably scant focus has been devoted to the latter in the methodological…
Alexis Compton, Benjamin W. Roop, Benjamin Parrell, Adam C. Lammert
Correction to: Behavior Research Methods 10.3758/s13428-022-01946-w The article ‘Stimulus whitening improves the efficiency of reverse correlation,’ written by Compton et al., was originally published electronically on the publisher’s internet portal on August 29, 2022, without open access. With the author(s)’ decision…
Amanda Venta, Cassandra A. Bailey, Jesse Walker, Alfonso Mercado + 3 more
The potential for suboptimal psychometric performance of reverse-coded items may be particularly pronounced when scales are translated and administered in Spanish with these problems exacerbated in youth respondents. This is a significant concern, given the rapid rise in Hispanic-American and Spanish-speaking…
M. Erol Keskin, Tevfik Aslanbaş
Water is an indispensable resource essential for sustaining life on Earth. Sustainable access to safe drinking and utility water is essential for human survival. Considering the potential of water on the earth and the rapid increase in the population, saving the existing potential water gains importance. The behavior…
Angeliki Papana, Nikolay K. Vitanov
The study of the interdependence relationships of the variables of an examined system is of great importance and remains a challenging task. There are two distinct cases of interdependence. In the first case, the variables evolve in synchrony, connections are undirected and the connectivity is examined based on…
Qing Liu, Hosung Son
Simpson's Paradox is a statistical phenomenon where trends observed in subgroups contradict those seen in the overall dataset (1). When data is segmented for analysis, the direction of relationships can reverse, highlighting the complexities of interpreting subgroup-level patterns (2). This paradox underscores the…
Jonas Moss, Steffen Grønneberg
The polychoric correlation is a popular measure of association for ordinal data. It estimates a latent correlation, i.e., the correlation of a latent vector. This vector is assumed to be bivariate normal, an assumption that cannot always be justified. When bivariate normality does not hold, the polychoric correlation…
Edoardo Saccenti
In the scientific literature data analysis results are often presented when samples from different experiments or different conditions, technical replicates or times series are merged to increase the sample size before calculating the correlation coefficient. This way of proceeding violates two basic assumptions…
Alex E. Yuan, Wenying Shou, Michel Loreau
In disciplines from biology to climate science, a routine task is to compute a correlation between a pair of time series and determine whether the correlation is statistically significant (i.e., unlikely under the null hypothesis that the time series are independent). This problem is challenging because time series…