Results 61 to 70 of about 14,010 (266)

Understanding Markov-Switching Rational Expectations Models [PDF]

open access: yesSSRN Electronic Journal, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Roger E. A. Farmer   +2 more
openaire   +3 more sources

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

KAJIAN INDIKATOR PERINGATAN DINI BANK RUNS DI INDONESIA: PENDEKATAN MARKOV-SWITCHING

open access: yesBuletin Ekonomi Moneter dan Perbankan, 2012
A run on a particular bank can lead to a banking crisis if it spreads to other banks (contagious effect). In the case of Indonesia, bank runs have also reoccurred time and again.
Iskandar Simorangkir
doaj   +1 more source

Stationarity of multivariate Markov–switching ARMA models [PDF]

open access: yesJournal of Econometrics, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christian Francq, Jean-Michel Zakoïan
openaire   +3 more sources

Tracheal chambers as a key innovation for high‐frequency emission in bat echolocation

open access: yesThe Anatomical Record, EarlyView.
Abstract Key innovations are pivotal for biodiversity and facilitating evolutionary success, enabling organisms' adaptation to various ecological niches through the diversification of phenotypic traits. In mammals, notable adaptations include evolving hypsodonty for grazing on grasses and, for bats, evolving echolocation and wing acquisition.
Nicolas L. M. Brualla   +7 more
wiley   +1 more source

Almost Sure Quasi-Synchronization of Reaction-Diffusion Neural Networks With Stochastic Switching via Boundary Control

open access: yesIEEE Access
This paper devotes to the almost sure quasi-synchronization of reaction-diffusion neural networks (RDNNs) with stochastic switching. Markov switching (MS) and independent and identically distributed switching (IIDS) are considered.
Haiqing Zhao, Lijun Pan
doaj   +1 more source

Using Markov switching models to infer dry and rainy periods from telecommunication microwave link signals [PDF]

open access: yesAtmospheric Measurement Techniques, 2012
A Markov switching algorithm is introduced to classify attenuation measurements from telecommunication microwave links into dry and rainy periods. It is based on a simple state-space model and has the advantage of not relying on empirically estimated ...
Z. Wang   +4 more
doaj   +1 more source

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

open access: yesJournal 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   +3 more
openaire   +1 more source

Cost‐utility analysis of nusinersen–risdiplam switch in patients with spinal muscular atrophy in Croatia: A discrete event simulation model

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Introduction In recent years, the treatment of spinal muscular atrophy (SMA), a rare disease, has significantly progressed, improving patients' survival and overall quality of life. However, current SMA treatments are expensive, and some (nusinersen) are very inconvenient for patients.
Andrej Belančić   +4 more
wiley   +1 more source

Markov-Switching Three-Pass Regression Filter [PDF]

open access: yesJournal 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   +2 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy