CA-VAR-Markov model of user needs prediction based on user generated content. [PDF]
Liu L, Ma B.
europepmc +1 more source
Shock‐Triggered Asymmetric Response Stochastic Volatility
ABSTRACT We propose a novel asymmetric stochastic volatility model (STAR‐SV) in which the leverage parameter adjusts to the magnitude of past shocks. This flexible specification captures both the leverage effects and their propagation more effectively than standard asymmetric volatility models.
J. Miguel Marin, Helena Veiga
wiley +1 more source
Estimating childhood tuberculosis incidence and under-reporting in Gedeo Zone, Ethiopia: a Bayesian hidden Markov model. [PDF]
Tesfaye SH +6 more
europepmc +1 more source
Forecasting and Modeling Macroeconomic Vulnerabilities in CESEE
ABSTRACT This paper develops a nonparametric multivariate model for assessing risks to macroecononomic outcomes in three major CESEE countries. Our model builds on Bayesian additive regression trees (BART) that remains agnostic on the relationship between the macro series and the lags thereof.
Florian Huber, Josef Schreiner
wiley +1 more source
Information Bottleneck Approach for Markov Model Construction. [PDF]
Wang D +4 more
europepmc +1 more source
Threshold MIDAS Forecasting of Canadian Inflation Rate
ABSTRACT We propose several threshold mixed data sampling (TMIDAS) autoregressive models to forecast the Canadian inflation rate using predictors observed at different frequencies. These models take two low‐frequency variables and a high‐frequency index as threshold variables.
Chaoyi Chen, Yiguo Sun, Yao Rao
wiley +1 more source
Cost-effectiveness of endovascular thrombectomy for acute ischemic stroke with established large infarct in Germany: a decision tree and Markov model. [PDF]
Gottschalk S +15 more
europepmc +1 more source
Forecasting Carbon Prices: A Literature Review
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
Heart rate transition patterns reveal autonomic dysfunction in heart failure with renal function decline: a symbolic and Markov model approach. [PDF]
Widatalla N, Younis SA, Khandoker A.
europepmc +1 more source
Dynamic Analysis of Stakeholders' Decision‐Making in Power Battery Recycling Considering Risks
The risk‐induced loss quantification model based on conditional value‐at‐risk (CVaR) is established to elucidate the impact of various risk parameters on stakeholders' revenues and evolutionary paths, as well as identify the key parameters that affect risk‐induced loss.
Juan Huang +4 more
wiley +1 more source

