Results 91 to 100 of about 2,520,335 (197)

Generalized Pivotal Quantities And Generalized Confidence Intervals

, 2014
Weerahandi [1] iepazīstina ar vispārinātu pivotālu lielumu un vispārinātu ticamības intervālu konstruēšanas idejām un iegūst atrisinājumus problēmām, kur parastās metodes nedarbojas vai nedod labu rezultātu.
Dāmis, Artis
core  

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

Advanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun, Xuewei Gu, Yulin Jie, Hao Yang, Shuhong Jiao, Chao Tang, Yangping Sheng, Yuhao Lu, Ruiguo Cao, Tao Cheng   +9 more
wiley   +1 more source

Unveiling the financial pathway to human development: insights from non-linear ARDL and Granger causality analysis

Humanities & Social Sciences Communications
The current study examines the relationship between financial inclusion, encompassing key indicators such as financial access, depth, efficiency, and stability, and the Human Development Index (HDI) within the BRICS economies (Brazil, Russia, India ...
Hafiz M. Sohail, Mirzat Ullah, Muhammad Shahzad Nazir, Canqing Tang   +3 more
doaj   +1 more source

Remote sensing of aboveground biomass dynamics and climatic responses in tropical lowland rainforests: Evidence from Bawangling, China

Ecological Indicators
Dynamics of tropical forests' aboveground biomass (AGB) are pivotal to the global carbon balance, yet the nonlinear and interactive mechanisms by which AGB responds to climate change in tropical lowland rainforests (TLR) remain unclear.
Yuxin Chen, Mingjiang Mao, Wenfeng Gong, Shijie Mao, Yixi Ma, Renhao Chen, Miao Wang, Xiaoxiao Zhang, Jinming Xu, Junting Jia, Peng Zhou   +10 more
doaj   +1 more source

"Empirical Likelihood Methods in Econometrics: Theory and Practice" [PDF]

Recent developments in empirical likelihood (EL) methods are reviewed. First, to put the method inperspective, two interpretations of empirical likelihood are presented, one as a nonparametric maximum likelihood estimation method (NPMLE) and the other as
Yuichi Kitamura
core  

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

Advanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen, Xiongfeng He, Zihao Li, Zidong Chen, Jiajin Sun, Xinyu Jiang, Yunhui Zhang, Lizhang Wu, Ran Wang, Jingnan Lu, Bo Wang, Kezhou Cai, Baocai Xu   +12 more
wiley   +1 more source

Oracally Efficient Two-Step Estimation of Generalized Additive Model [PDF]

Generalized additive models (GAM) are multivariate nonparametric regressions for non-Gaussian responses including binary and count data. We propose a spline-backfitted kernel (SBK) estimator for the component functions.
Wolfgang Karl Härdle, Rong Liu, Lijian Yang   +2 more
core  

Penalized likelihood estimation and iterative kalman smoothing for non-gaussian dynamic regression models [PDF]

, 1995
Dynamic regression or state space models provide a flexible framework for analyzing non-Gaussian time series and longitudinal data, covering for example models for discrete longitudinal observations.
Fahrmeir, Ludwig, Wagenpfeil, Stefan
core   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

Advanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford, Matthew Tamasi, Elena Di Mare, Adam J. Gormley   +3 more
wiley   +1 more source

ICT, trade, economic growth, and unemployment nexus: panel evidence from the Indian Ocean Rim Association

Research in Globalization
This study investigates the impact of Information and Communication Technology (ICT) adoption on international trade flows within the Indian Ocean Rim Association (IORA) countries by employing an augmented gravity model framework.
Laxmi Dawn, Aman Verma, Hemlata Manglani
doaj   +1 more source