Results 51 to 60 of about 112,777 (296)

Markov Switching Vector Autoregressive Modelling of the Nigerian Stock Price and Oil Price Series

Quantitative Economics Research, 2018
This article studied the relationship between stock prices and crude oil prices of Nigeria using a Markov switching model. Certain properties of the stock price series and crude oil price series such as breaks and stationarity, which are necessary before
Emmanuel W Okereke, Onyebuchi Remy Uwaeme   +1 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

Markov-switching decision trees [PDF]

AStA Advances in Statistical Analysis
AbstractDecision trees constitute a simple yet powerful and interpretable machine learning tool. While tree-based methods are designed only for cross-sectional data, we propose an approach that combines decision trees with time series modeling and thereby bridges the gap between machine learning and statistics.
Adam, Timo, Ötting, Marius, Michels, Rouven   +2 more
openaire   +3 more sources

Diversity Patterns of Domestic Herbivore Viruses in China Reveal Transmission Dynamics with Disease Management Implications

Advanced Science, EarlyView.
This study performs pan‐viromic profiling of 14,529 samples from 5,710 domestic herbivores across five Chinese provinces, establishing the DhCN‐Virome (1,085,360 viral metagenomes). It reveals species/sample‐specific viromic signatures and cross‐species transmission dynamics, aiding unified disease control.
Yue Sun, Yong Li, Bagen Temur, Yuanqing Lin, Yuhang Liu, Le Yi, Zheng Sun, Gang Zhang, Jun Li, Yu Guo, Linchuan Li, Jinshan Cai, Wenliang Tian, Gen Meng, Lingling Jiang, Min Fang, Fuying Ding, Xuezhang Zhou, Changchun Tu, Biao He   +19 more
wiley   +1 more source

EARLY WARNING INDICATORS STUDY OF BANK RUNS IN INDONESIA : MARKOV-SWITCHING APPROACH

Buletin 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

Perturbation Methods for Markov-Switching DSGE Models [PDF]

SSRN Electronic Journal, 2013
This paper develops a general perturbation methodology for constructing high-order approximations to the solutions of Markov-switching DSGE models. We introduce an important and practical idea of partitioning the Markov-switching parameter space so that a steady state is well de?ned.
Andrew T. Foerster, Juan F. Rubio-Ramirez, Daniel F. Waggoner, Tao Zha   +3 more
openaire   +8 more sources

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

Advanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han, Alejandro Grau‐Perales, Rayna M. Harris, Edith Lesburguères, Hsin‐Yi Kao, Asit Pal, Juan Marcos Alarcon, Todd C. Sacktor, Stefano Martiniani, Hans A. Hofmann, André A. Fenton   +10 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

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

The Effect of Trade Volume on TEPIX Index in Bear and Bull Cycles: An Application of Markov-Switching Model [PDF]

فصلنامه پژوهش‌های اقتصادی ایران, 2014
In this paper, the effect of trade volume on TEPIX index is investigated based on bull and bear cycles of Tehran stock Exchange (TSE) using nonlinear Markov-Switching model.
Abbas Kalantari, Navid Khalil Paktinat
doaj