Results 131 to 140 of about 188,817 (310)

The control mechanisms of heart rate dynamics in a new heart rate nonlinear time series model. [PDF]

Sci Rep, 2020
He Z.
europepmc   +1 more source

An Out-of-Sample Test for Nonlinearity in Financial Time Series: An Empirical Application [PDF]

This paper employs a local information, nearest neighbour forecasting methodology to test for evidence of nonlinearity in financial time series. Evidence from well-known data generating process are provided and compared with returns from the Athens stock
Theodore Panagiotidis
core  

Super‐Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles

Advanced Materials, EarlyView.
This study presents a super‐resolution ultrasound platform for tracking cells in vivo. Biocompatible polymeric nanobubbles are used as highly echogenic intracellular labels. Following the injection of cells and microbubbles, ultrasound localization microscopy (ULM) can dynamically match the microvascular architecture and individual cell trajectories ...
Junlin Chen, Xiaoyu Wang, Jilin Fan, Bi Wang, Hanghang Fang, Yurui Wang, Hao Cui, Mohammad Roufarshbaf, Ekaterina Savina, Alexandra Valeske, Quim Peña, Yang Shi, Andreas Herrmann, Twan Lammers, Mathias Hornef, Roman Barmin, Thomas Lisson, Georg Schmitz, Anne Rix, Fabian Kiessling   +19 more
wiley   +1 more source

Existence of stationary distributions for a class of nonlinear time series models in random environment domain

Journal of Inequalities and Applications, 2011
In this paper, we study the problem of a variety of nonlinear time series model Xn+1 = F(Xn, en+1(Zn+1)) in which {Zn+1} is a Markov chain with finite state space, and for every state i of the Markov chain, {en(i)} is a sequence of independent and ...
Xu Yong, Wang Yueheng, Zhu Enwen
doaj  

Detecting nonlinearity in natural population time series with classical and proxy indicators

Ecological Indicators
Ecosystem dynamics are inherently nonlinear due to complex inter- and intraspecific interactions, which drive the complex population dynamics observed in nature.
Meng Gao, Yutong Yang, Haoyang Gao, Yueqi Wang   +3 more
doaj   +1 more source

Effect of ambient air pollution and temperature on the risk of stillbirth: a distributed lag nonlinear time series analysis. [PDF]

J Environ Health Sci Eng, 2020
Ranjbaran M, Mohammadi R, Yaseri M, Kamari M, Habibelahi A, Yazdani K.   +5 more
europepmc   +1 more source

Gradient radial basis function networks for nonlinear and nonstationary time series prediction

, 1995
We present a method of modifying the structure of radial basis function (RBF) network to work with non-stationary series that exhibit homogeneous non-stationary behaviour.
Chng, E. S., Mulgrew, B., S. Chen, E.S. Chng, B. Mulgrew, Chen, S.   +5 more
core  

Ferroelectric Dynamic‐Field‐Driven Nucleation and Growth Model for Predictive Materials‐To‐Circuit Co‐Design

Advanced Materials, EarlyView.
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang, Soohyeon Kim, Tony Chiang, Megan K. Lenox, Ian Mercer, John J. Plombon, Jon‐Paul Maria, Jon F. Ihlefeld, Wenhao Sun, Wei Lu, John T. Heron   +10 more
wiley   +1 more source

Linear models, smooth transition autoregressions and neural networks for forecasting macroeconomic time series: A reexamination [PDF]

In this paper we examine the forecast accuracy of linear autoregressive, smooth transition autoregressive (STAR), and neural network (NN) time series models for 47 monthly macroeconomic variables of the G7 economies.
Timo Teräsvirta, Marcelo Cunha Medeiros, Dick van Dijk   +2 more
core  

Understanding Operando Water Management in Hydroxide‐Exchange‐Membrane Fuel Cells

Advanced Materials Interfaces, EarlyView.
Effective water management is vital for high‐performance hydroxide‐exchange‐membrane fuel cells. Using a custom water‐flux station, this study quantifies how membrane thickness, microporous layers, and operating conditions dictate internal water transport.
Catherine M. Weiss, Shiyi Wang, Brian P. Setzler, Yushan Yan, Adam Z. Weber   +4 more
wiley   +1 more source