Results 141 to 150 of about 1,563,284 (329)

Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics

Advanced Science, EarlyView.
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma, Ting‐Ting Gao, Wei Cui, Attilio Frangi, Gang Yan, Lin Zhao   +5 more
wiley   +1 more source

Pan‐3D Genome Analysis Reveals the Roles of Structural Variation in Chicken Chromatin Architectures, Domestication and Production Traits

Advanced Science, EarlyView.
This study firstly presents a comprehensive and high‐resolution pan‐3D genome resource in chicken. Our findings reveal the role of structural variations in 3D genome architectures, and how they influence the domestication process and production traits at the 3D genome level.
Zhen Zhou, Danfeng Cai, Changbin Zhao, Siyu Zhang, Jiahao Li, Zhaofeng Zhang, Shaofen Kong, Xin Yang, Xiaoli Zhou, Farhad Bordbar, Fayi Chen, Yaohuan Xu, Zhe Zhang, Lihong Gu, Zhenhui Li, Xiquan Zhang, Wen Luo, Jingting Shu, Bolin Cai, Qinghua Nie   +19 more
wiley   +1 more source

Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression

International Journal of Financial Studies
This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of numerous commodities’ prices (spot-based ones). Moreover, some features and an initial specification of the parameters of the BSR were analysed.
Krzysztof Drachal, Michał Pawłowski
doaj   +1 more source

Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators

, 2018
Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, non-iterative estimator for latent variable models.
Bollen, Kenneth A., Fisher, Zachary F., Henry, Teague R.   +2 more
core  

Intrinsic PPG–ECG Coupling for Accurate and Low‐Power Blood Pressure Monitoring

Advanced Science, EarlyView.
A PPG–ECG coupling strategy for continuous blood pressure monitoring that intrinsically synchronizes signals within a single waveform is demonstrated, minimizing synchronization errors and hardware complexity. This approach halves power consumption while maintaining high accuracy, enabling compact, energy‐efficient wearable devices for personalized ...
Sitong Chen, Hua Luo, Zhentao Yao, Zhou Jiang, Xiaodong Wu, Hanmin Liu   +5 more
wiley   +1 more source

Multi-model ensemble hydrologic prediction using Bayesian model averaging [PDF]

, 2007
Multi-model ensemble strategy is a means to exploit the diversity of skillful predictions from different models. This paper studies the use of Bayesian model averaging (BMA) scheme to develop more skillful and reliable probabilistic hydrologic ...
Ajami, NK, Duan, Q, Gao, X, Sorooshian, S   +3 more
core   +1 more source

Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics

Advanced Science, EarlyView.
Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang, Bingqian Dai, Shijie Xu, Kin Wong, Yaochen Li, Yang Cheng, Qingyuan Shu, Haoran He, Puyang Huang, Hanshen Huang, Xixiang Zhang, Kang L. Wang   +11 more
wiley   +1 more source

Benchmark Priors for Bayesian Model Averaging [PDF]

In contrast to a posterior analysis given a particular sampling model, posterior model probabilities in the context of model uncertainty are typically rather sensitive to the specification of the prior.
Carmen Fernandez, Eduardo Ley, Mark F.J. Steel   +2 more
core  

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

Forecasting Pathogen Dynamics with Bayesian Model-Averaging: Application to Xylella fastidiosa. [PDF]

Bull Math Biol, 2023
Abboud C, Parent E, Bonnefon O, Soubeyrand S.   +3 more
europepmc   +1 more source