Results 131 to 140 of about 9,473 (177)
A simple demonstration of a privacy-preserving de-centralised genotype imputation workflow. [PDF]
Letaillandier A +4 more
europepmc +1 more source
ABSTRACT Given the inevitability of human and animal exposure to acrylamide, there is increasing concern regarding its potential health risks. While a number of molecular mechanisms have been proposed, the complexity of acrylamide toxicological pathways and interactions remains incompletely characterized.
Oluwabukola Mary Farodoye +5 more
wiley +1 more source
Writing Increases Precision-Weighted Inference of Conceptual Organization: A Bayesian-Brain Active-Inference Model of the Writing-over-Speaking Advantage in Analytic Thinking. [PDF]
Silva AM +3 more
europepmc +1 more source
Abstract Bayesian inference methods such as Markov Chain Monte Carlo (MCMC) typically require repeated computations of the likelihood function, but in some scenarios, this is infeasible and alternative methods are needed. Simulation‐based inference methods address this problem by using machine learning to amortize computations.
L. M. Wolniewicz, P. Sadowski, C. Corti
wiley +1 more source
State-transition and simulation-based modeling approaches for simulating the progression of dental caries: a scoping review. [PDF]
Teplitzky X +5 more
europepmc +1 more source
Abstract Accurate characterization of subsurface heterogeneity is challenging but essential for applications such as reservoir pressure management, geothermal energy extraction and CO2 ${\text{CO}}_{2}$, H2 ${\mathrm{H}}_{2}$, and wastewater injection operations.
Harun Ur Rashid +4 more
wiley +1 more source
Way More than the Sum of Their Parts: From Statistical to Structural Mixtures. [PDF]
Crutchfield JP.
europepmc +1 more source
ABSTRACT With the massive increase in genomic resources, it is becoming increasingly popular to analyse thousands of loci across many species. However, many of the available genomes are not annotated, which hinders an efficient search for orthologous protein‐coding genes.
Gwenaelle Vigo +4 more
wiley +1 more source
Joint Bayesian Hidden Markov Model With Subject-Specific Transitions for Wearable Sensor Data. [PDF]
Fei W, Miao Z, Xu T, Wang Y.
europepmc +1 more source
Random Carbon Tax Policy and Investment Into Emission Abatement Technologies
ABSTRACT We analyze the problem of a profit‐maximizing electricity producer, subject to carbon taxes, who decides on investments into CO2$\rm CO_2$ abatement technologies. We assume that the carbon tax policy is random and that the investment in the abatement technology is divisible, irreversible, and subject to transaction costs.
Katia Colaneri +2 more
wiley +1 more source

