Results 51 to 60 of about 45,179 (311)

A Natural Generalization of the XLindley Distribution and Its First-Order Autoregressive Process with Applications to Non-Gaussian Time Series

Axioms
The natural generalization of the XLindley distribution is proposed. The mathematical properties of the generalized XLindley distribution are derived.
Emrah Altun, Soheyla A. Ghomeishi, Hana N. Alqifari   +2 more
doaj   +1 more source

Infinitesimal Robustness for Autoregressive Processes

The Annals of Statistics, 1984
We define the influence function and construct optimal robust estimators for autoregressive processes. We show that the asymptotic bias caused by small contaminations of the marginals can be written as the integral of a certain function with respect to the contamination. This function is called the influence function.
openaire   +3 more sources

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Two-dimensional autoregressive model in a steganographic method based on the direct spread spectrum

Безопасность информационных технологий, 2016
Considered steganographic method of information security based on the direct spreading. Possibility of two-dimensional autoregressive model application in this steganographic method is investigated.
Rodion Khamzaevich Baltaev, Igor Vladimirovich Lunegov   +1 more
doaj  

Markovian processes, two-sided autoregressions and finite-sample inference for stationary and nonstationary autoregressive processes [PDF]

Journal of Econometrics, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
DUFOUR, Jean-Marie, TORRÈS, Olivier
openaire   +3 more sources

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Parameter estimation for fractional autoregressive process with seasonal structure

Statistical Theory and Related Fields
This paper introduces a new kind of seasonal fractional autoregressive process (SFAR) driven by fractional Gaussian noise (fGn). The new model includes a standard seasonal AR model and fGn.
Chunhao Cai, Yiwu Shang
doaj   +1 more source

Random Environment Integer-Valued Autoregressive Process with Discrete Laplace Marginal Distributions

Revstat Statistical Journal, 2023
A new random environment integer-valued autoregressive process of order 1 with discrete Laplace marginal distributions and with r states (abbrev. RrDLINAR1(M, A)) is introduced.
Bogdan A. Pirković , Miroslav M. Ristić, Aleksandar S. Nastić   +2 more
doaj