Results 51 to 60 of about 498,137 (306)

ASYMPTOTICS OF CONTROL PROBLEM FOR THE DIFFUSION PROCESS IN MARKOV ENVIRONMENT

Міжнародний науково-технічний журнал "Проблеми керування та інформатики", 2020
A stochastic optimization procedure and a limit generator of the original problem are constructed for a system of stochastic differential equations with Markov switching and diffusion perturbation with control, which is determined by the condition for ...
Я.М. Чабанюк, А.В. Нікітін, У.Т. Хімка   +2 more
doaj   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Evaluation of fall‐seeded cover crops for grassland nesting waterfowl in eastern South Dakota

Wildlife Society Bulletin, EarlyView., 2023
Cover crops are experiencing a revival among Midwestern farmers, and we assessed their attractiveness and safety for nesting ducks in South Dakota. Nest success was markedly lower in cover crops than in perennial cover during both years of our study, including 2019 which was a best‐case scenario for cover crops, with extremely wet conditions delaying ...
Charles W. Gallman, Todd W. Arnold, Eric S. Michel, Joshua D. Stafford   +3 more
wiley   +1 more source

A Markov Switching Cookbook

, 1999
Economists continue to debate the importance of nonlinearity to their discipline. When it comes to forecasting levels, unit roots seems to be quite prevalent, and there has been a great deal of skepticism about nonlinear models. See the arguments pro and con in Ramsey (1996).
Mizrach, Bruce, Watkins, James
openaire   +2 more sources

The economic performance of cities: A Markov-switching approach [PDF]

Journal of Urban Economics, 2006
Abstract This paper examines the determinants of employment growth in metro areas. To obtain growth rates, we use a Markov-switching model that separates a city's growth path into two distinct phases (high and low), each with its own growth rate. The simple average growth rate over some period is, therefore, the weighted average of the high-phase and
Michael T. Owyang, Jeremy M. Piger, Howard J. Wall, Christopher H. Wheeler   +3 more
openaire   +1 more source

Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation

Advanced Science, EarlyView.
High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott, Georgeos Hardo, Ruizhe Li, Jack Bradley, Ashraf Zarkan, Somenath Bakshi   +5 more
wiley   +1 more source

Stationarity of multivariate Markov–switching ARMA models [PDF]

Journal of Econometrics, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christian Francq, Jean-Michel Zakoïan
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

Markov-Switching Three-Pass Regression Filter [PDF]

Journal of Business & Economic Statistics, 2017
We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes. The new method, denoted as Markov-switching three-pass regression filter (MS-3PRF), is suitable for datasets with
Guérin, Pierre, Leiva-Leon, Danilo, Marcellino, Massimiliano   +2 more
openaire   +2 more sources

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

Advanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio, Wei Xuan Wilson Loo, Yan Shan Loo, Wen Xin Tan, Hui Xuan Lim, Huitao Liu, Chen Seng Ng   +6 more
wiley   +1 more source