Common wave behavior for mergers and acquisitions in OECD countries? a unique analysis using new Markov switching panel model approach [PDF]
This paper investigates whether or not there is co-waved merger and acquisition (M&A) activity in 26 OECD countries. We apply the Markov Switching model to panel data (MSP hereafter), an approach which has not previously been attempted.
Chung-Hua Shen +2 more
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Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.In this study, we address the challenge of analyzing worker behaviors in high‐mix, low‐volume production environments, where traditional supervised learning methods struggle owing to the lack of labeled data and task variability among workers. To overcome these issues, we propose a novel hierarchical approach for unsupervised behavior pattern ...
Issei Saito +5 more
wiley +1 more source
Bitcoin Cycle through Markov Regime-Switching Model
Engineering ProceedingsWe analyzed Bitcoin’s cyclical patterns used by the Markov regime-switching model and explored the impacts of inflation and the US Dollar Index on Bitcoin’s cyclicality.
Yi-Chun Shih +2 more
doaj +1 more source
Measuring Business Cycle Turning Points in Japan with a Dynamic Markov Switching Factor Model [PDF]
In the dynamic factor model, a single unobserved factor common to some macroeconomic variables is defined as a composite index to measure business cycles.
Watanabe, Toshiaki
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Mallard response to experimental human disturbance on sanctuary areas is mediated by hunting
Wildlife Biology, EarlyView.Wildlife managers often provide spatial sanctuaries for wildlife to escape both lethal (e.g. hunting) and non‐lethal (e.g. non‐consumptive recreation) human disturbance. However, as societal interest in outdoor recreation continues to climb, many areas face added pressure to allow recreation, yet studies increasingly demonstrate negative effects of ...
Abigail G. Blake‐Bradshaw +6 more
wiley +1 more source
Frontiers in Applied Mathematics and StatisticsThis research is devoted to studying a geometric Brownian motion with drift switching driven by a 2 × 2 Markov chain. A discrete-time multiplicative approximation scheme was developed, and its convergence in Skorokhod topology to the continuous-time ...
Vitaliy Golomoziy +2 more
doaj +1 more source
Predicting the incidence of brucellosis in Western Iran using Markov switching model. [PDF]
BMC Res Notes, 2021 Mohammadian-Khoshnoud M +3 more
europepmc +1 more source
Do Leading Indicators Help to Predict Business Cycle Turning Points in Germany? [PDF]
Using a binary reference series based on the dating procedure of Artis, Kontolemis and Osborn (1997) different procedures for predicting turning points of the German business cycles were tested.
Ulrich Fritsche, Vladimir Kuzin
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CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li +5 more
wiley +1 more source
Are CDS spreads predictable during the Covid-19 pandemic? Forecasting based on SVM, GMDH, LSTM and Markov switching autoregression. [PDF]
Expert Syst Appl, 2022 Vukovic DB +3 more
europepmc +1 more source