Zobrazeno 1 - 10
of 4 496
pro vyhledávání: '"Peng Bin"'
Autor:
He, Peng-Bin, Cherkasskii, Mikhail
Magnetic damping induces the temporal and spatial decay of spin waves, characterized by the damping factor and attenuating length, both of which can be measured to determine various magnetic and spin-transport parameters. By investigating the dispers
Externí odkaz:
http://arxiv.org/abs/2409.10457
Normal microwave (MW) electromagnetic field detectors convert microwave power into voltages, which results in the loss of the vector characteristics of the microwave field. In this work, we developed a MW magnetic field (h-field) vector detector base
Externí odkaz:
http://arxiv.org/abs/2407.17979
In this paper, we propose an easy-to-implement residual-based specification testing procedure for detecting structural changes in factor models, which is powerful against both smooth and abrupt structural changes with unknown break dates. The propose
Externí odkaz:
http://arxiv.org/abs/2406.00941
In this paper, we propose a robust estimation and inferential method for high-dimensional panel data models. Specifically, (1) we investigate the case where the number of regressors can grow faster than the sample size, (2) we pay particular attentio
Externí odkaz:
http://arxiv.org/abs/2405.07420
Hierarchical panel data models have recently garnered significant attention. This study contributes to the relevant literature by introducing a novel three-dimensional (3D) hierarchical panel data model, which integrates panel regression with three s
Externí odkaz:
http://arxiv.org/abs/2404.08365
In this paper, we consider estimation and inference for the unknown parameters and function involved in a class of generalized hierarchical models. Such models are of great interest in the literature of neural networks (such as Bauer and Kohler, 2019
Externí odkaz:
http://arxiv.org/abs/2311.02789
To tackle difficulties for theoretical studies in situations involving nonsmooth functions, we propose a sequence of infinitely differentiable functions to approximate the nonsmooth function under consideration. A rate of approximation is established
Externí odkaz:
http://arxiv.org/abs/2309.16348
Autor:
Cindy Q. Tang, Min-Rui Du, Huan-Chong Wang, You-Cai Shi, Jia-Le Zeng, Shu-Li Xiao, Peng-Bin Han, Jian-Ran Wen, Shi-Qian Yao, Ming-Chun Peng, Chong-Yun Wang, Yong-Ping Li, Jordi López-Pujol
Publikováno v:
Plant Diversity, Vol 46, Iss 5, Pp 648-660 (2024)
Relict subtropical coniferous forests in China face severe fragmentation, resulting in declining populations, and some are under significant threat from invasive alien species. Despite the crucial importance of understanding forest dynamics, knowledg
Externí odkaz:
https://doaj.org/article/9271263de62a4577a98a5eb35bc27dbc
In this paper, we investigate a semiparametric regression model under the context of treatment effects via a localized neural network (LNN) approach. Due to a vast number of parameters involved, we reduce the number of effective parameters by (i) exp
Externí odkaz:
http://arxiv.org/abs/2306.05593
This paper considers a time-varying vector error-correction model that allows for different time series behaviours (e.g., unit-root and locally stationary processes) to interact with each other to co-exist. From practical perspectives, this framework
Externí odkaz:
http://arxiv.org/abs/2305.17829