Results 151 to 160 of about 593,387 (249)

Introducing the Socio‐Emotional School Experiences Adaptation (SESEA) model: A theoretical integration of emotions, social relationships and the experience of learning

open access: yesBritish Journal of Educational Psychology, EarlyView.
Abstract Background Social and emotional experiences play a central role in the daily lives of both students and teachers. Although emotions and social relationships are deeply interwoven—each shaping and reinforcing the other—emotional experiences and social dynamics are still considered largely in isolation, with limited attention being given to ...
Diana Raufelder, Juliane Schlesier
wiley   +1 more source

Calibrating Bayesian inference

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu   +2 more
wiley   +1 more source

Of hired guns and ideologues: Why would a law firm ever retain an honest expert witness?

open access: yesCanadian Journal of Economics/Revue canadienne d'économique, EarlyView.
Abstract Suppose that expert witnesses appearing in litigation are, generically, either honest in their assessment of a fact situation or are advocates who testify in favour of their retaining party, regardless of new information. The type of a witness is known to law firms, who engage with them repeatedly, but not to courts.
Martin Richardson, Jose Rodrigues‐Neto
wiley   +1 more source

Basis Networks: Learning basis functions for free‐form triangulations

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present a framework for learning compactly supported basis functions that define tangent continuous surfaces based on coarse irregular triangle meshes. The basis functions are represented as MLPs. Smoothness of the basis functions is achieved by using the values of Loop basis functions as the parameterization of the surface.
T. Djuren, M. Alexa
wiley   +1 more source

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