A Tutorial on Bayesian Multi‐Study Factor Analysis With Applications in Nutrition and Genomics
ABSTRACT High‐dimensional data are crucial in biomedical research. Integrating such data from multiple studies is a critical process that relies on the choice of advanced statistical models, enhancing statistical power, reproducibility, and scientific insight compared to analyzing each study separately.
Mavis Liang +3 more
wiley +1 more source
A Decade of Airborne Electromagnetic Surveying Lake Menindee (Australia) Under Varying Water Levels
ABSTRACT Time domain airborne electromagnetic (AEM) surveying is a mature geophysical tool for imaging the Earth's shallow subsurface. It produces images of the electromagnetic conductivity structure of the earth, down to depths of a few hundred metres.
A. Ray +11 more
wiley +1 more source
Applying the maximum entropy principle to neural networks enhances multi‐species distribution models
Abstract The increasing volume of presence‐only (PO) data generated by citizen science initiatives has greatly expanded biodiversity databases, but the statistical use of these data in species distribution models (SDMs) remains limited by strong sampling biases and the absence of reliable absence information.
Maxime Ryckewaert +5 more
wiley +1 more source
ESTIMATION OF THE KULLBACK-LEIBLER DIVERGENCE
The Kullback-Leibler (KL) divergence K(fl, P) between a set O of probability measures (PMs) on ]R d and some PM P cannot be estimated by K(O, Pn) when O contains PM whose support is not included in the support of the empirical measure Pn. We propose an estimation procedure which avoids any smoothing of Pn.
openaire +1 more source
Assessing novelty, feasibility and value of creative ideas with an unsupervised approach using GPT‐4
Abstract Creativity is defined by three key factors: novelty, feasibility and value. While many creativity tests focus primarily on novelty, they often neglect feasibility and value, thereby limiting their reflection of real‐world creativity. In this study, we employ GPT‐4, a large language model, to assess these three dimensions in a Japanese‐language
Felix B. Kern +2 more
wiley +1 more source
Kullback-Leibler Divergence Based Probabilistic Approach for Device-Free Localization Using Channel State Information. [PDF]
Gao R, Zhang J, Xiao W, Li Y.
europepmc +1 more source
Abstract This study explored the facial impressions of attractiveness, dominance and sexual dimorphism using experimental and computational methods. In Study 1, we generated face images with manipulated morphological features using geometric morphometrics. In Study 2, we conducted eye tracking and impression evaluation experiments using these images to
Takanori Sano, Jun Shi, Hideaki Kawabata
wiley +1 more source
Estimating the spectrum in computed tomography via Kullback-Leibler divergence constrained optimization. [PDF]
Ha W +4 more
europepmc +1 more source
Abstract The stationary autoregressive model forms an important base of time‐series analysis in today's psychology research. Diverse nonstationary extensions of this model are developed to capture different types of changing temporal dynamics. However, researchers do not always have a solid theoretical base to rely on for deciding a‐priori which of ...
Yong Zhang +4 more
wiley +1 more source
Minimising the Kullback-Leibler Divergence for Model Selection in Distributed Nonlinear Systems. [PDF]
Cliff OM, Prokopenko M, Fitch R.
europepmc +1 more source

