Results 51 to 60 of about 36,386 (165)

Suboptimal but intact integration of Bayesian components during perceptual decision-making in autism

Molecular Autism
Background Alterations in sensory perception, a core phenotype of autism, are attributed to imbalanced integration of sensory information and prior knowledge during perceptual statistical (Bayesian) inference.
Laurina Fazioli, Bat-Sheva Hadad, Rachel N. Denison, Amit Yashar   +3 more
doaj   +1 more source

Navigating challenges in pediatric trial conduct: integrating bayesian sequential design with semiparametric elicitation for handling primary and secondary endpoints

BMC Medical Research Methodology
Background This study presents a Bayesian Adaptive Semiparametric approach designed to address the challenges of pediatric randomized controlled trials (RCTs).
Danila Azzolina, Ileana Baldi, Silvia Bressan, Mohd Rashid Khan, Liviana Da Dalt, Dario Gregori, Paola Berchialla   +6 more
doaj   +1 more source

Conditional clustering of temporal expression profiles

BMC Bioinformatics, 2008
Background Many microarray experiments produce temporal profiles in different biological conditions but common cluster techniques are not able to analyze the data conditional on the biological conditions.
Rarick Matt, Montano Monty, Wang Ling, Sebastiani Paola   +3 more
doaj   +1 more source

Expectation violations signal goals in novel human communication

Nature Communications
Communication, often grounded in shared expectations, faces challenges when a Sender and Receiver lack a common linguistic background. Our study explores how people instinctively turn to the fundamental principles of the physical world to overcome such ...
Tatia Buidze, Tobias Sommer, Ke Zhao, Xiaolan Fu, Jan Gläscher   +4 more
doaj   +1 more source

Characterizing Common Priors in the Form of Posteriors

Journal of Economic Theory, 2000
Roughly speaking, the Common Prior Assumption (CPA) means that rational agents in models with asymmetric information have a common prior. \textit{R. J. Aumann} [Ann. Stat. 4, 1236-1239 (1976; Zbl 0379.62003)] proved that if CPA holds then agents cannot agree to disagree.
openaire   +1 more source

Noninformative Priors for the Common Intraclass Correlation Coefficient [PDF]

Communications for Statistical Applications and Methods, 2011
In this paper, we develop the noninformative priors for the common intraclass correlation coefficient when independent samples drawn from multivariate normal populations. We derive the first and second order matching priors. We reveal that the second order matching prior dose not match alternative coverage probabilities up to the second order and is ...
openaire   +1 more source

Using biotracer techniques to uncover consumer diets: A comparison of stable isotopes, fatty acids, and amino acids

Ecosphere
Biotracers are commonly used in food‐web studies to estimate consumer diets. Increasingly, multiple biotracer types are combined to provide more nuanced pictures of consumer resource use, unravel more complex diet mixtures, and improve the discriminatory
Patrick J. Pickett, Georgia K. Dwyer, Ashley Macqueen, Galen Holt, Bryce T. Halliday, Jan L. Barton, Rebecca E. Lester   +6 more
doaj   +1 more source

Fractionating auditory priors: A neural dissociation between active and passive experience of musical sounds.

PLoS ONE, 2019
Learning, attention and action play a crucial role in determining how stimulus predictions are formed, stored, and updated. Years-long experience with the specific repertoires of sounds of one or more musical styles is what characterizes professional ...
Marina Kliuchko, Elvira Brattico, Benjamin P Gold, Mari Tervaniemi, Brigitte Bogert, Petri Toiviainen, Peter Vuust   +6 more
doaj   +1 more source

Dealing with adverse drug reactions in the context of polypharmacy using regression models

Scientific Reports
Polypharmacy in older adults increases the risk of adverse drug reactions (ADRs), but studying this relationship is complex. In real-world data, the high number of medications, coupled with rare drug combinations, results in high-dimensional datasets ...
Jakob Sommer, Roberto Viviani, Justyna Wozniak, Julia C. Stingl, Katja S. Just   +4 more
doaj   +1 more source

Small Samples, Big Insights: A Methodological Comparison of Estimation Techniques for Latent Divergent Thinking Models

Journal of Intelligence
In psychology, small sample sizes are a frequent challenge—particularly when studying specific expert populations or using complex and cost-intensive methods like human scoring of creative answers—as they reduce statistical power, bias results, and limit
Selina Weiss, Lara S. Elmdust, Benjamin Goecke   +2 more
doaj   +1 more source