Results 191 to 200 of about 4,492 (243)

Projecting the impacts of climate and land-use change on avian influenza suitability in Bangladesh. [PDF]

open access: yesOne Health
Castonguay AC   +7 more
europepmc   +1 more source

LLM‐based prior elicitation for Bayesian graphical modeling

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski   +2 more
wiley   +1 more source

To vary or not to vary: A flexible empirical Bayes factor for testing variance components

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
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

Dissociating role of Bassoon in glutamatergic and dopaminergic neurons in alcohol‐related behaviour and affective state in mice

open access: yesBritish Journal of Pharmacology, EarlyView.
Abstract Background and Purpose Alcohol abuse and affective disorders are severe comorbid psychiatric diseases characterized by impaired brain synaptic transmission. The role of presynaptic scaffolding proteins coordinating presynaptic plasticity and neurotransmitter release, such as Bassoon (Bsn), in the pathogenesis of these disorders remains elusive.
Liubov S. Kalinichenko   +14 more
wiley   +1 more source

Hierarchical Differentiable Fluid Simulation

open access: yesComputer Graphics Forum, EarlyView.
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong   +4 more
wiley   +1 more source

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