Physical activity programmes such as the NSC can help mitigate rising obesity and T2DM prevalence when implemented at the population level, as seen in Singapore. However, their success depends on ...
Self-related information automatically modulates early attentional selection into awareness through mechanisms distinct from physical salience, revealing an obligatory, individualized ...
heston-particle-filter-calibration/ ├── README.md ├── requirements.txt │ ├── heston/ # Main package │ ├── __init__.py │ ├── model ...
In many studies across various fields, data often comes in the form of rates or proportions. For instance, in medical research, a large meta-analytic study might aim to estimate the cure rate of a ...
A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
1 Department of Biochemistry, Brandeis University, Waltham, MA, United States 2 Department of Biology, Brandeis University, Waltham, MA, United States This study explores the efficacy of Bayesian ...
Abstract: This work studies the problem of jointly estimating unknown parameters from Kronecker-structured multidimensional signals, which arises in applications like intelligent reflecting surface ...
Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...
Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet parameter inference for such models remains highly challenging—particularly when ...
A robust Python package for automated trend labelling in time series data with a strong financial flavour, implementing SOTA trend labelling algorithms (bibliography) with returns estimation and ...
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