Results 161 to 170 of about 291,412 (338)
A log linear Poisson autoregressive model to understand COVID-19 dynamics in Saudi Arabia. [PDF]
Beni Suef Univ J Basic Appl Sci, 2022 Alzahrani SM.
europepmc +1 more source
Forecasting Seasonal UK Consumption Components [PDF]
Periodic models for seasonal data allow the parameters of the model to vary across the different seasons. This paper uses the components of UK consumption to see whether the periodic autoregressive (PAR) model yields more accurate forecasts than non ...
Clements, M.P., Smith, J.
core
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of\n Language with Distributed Compositional Prior [PDF]
, 2018 Pankaj Gupta +3 more
openalex +1 more source
Equine Veterinary Journal, EarlyView.Abstract Background Bodyweight, age and breed influence the echocardiographic assessment of foals. There are no echocardiographic studies in Standardbred neonatal foals. Objectives To describe echocardiographic values for selected variables, evaluate intra‐ and inter‐observer variability and assess cardiac changes in the first 5 days of life in healthy
Fernanda Timbó D'el Rey Dantas +8 more
wiley +1 more source
A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates. [PDF]
J Geogr Syst, 2022 Congdon P.
europepmc +1 more source
A Random Graph-based Autoregressive Model for Networked Time Series [PDF]
, 2023 Wei‐Chi Wu, Chenlei Leng
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Threshold MIDAS Forecasting of Canadian Inflation Rate
Journal of Forecasting, EarlyView.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
A conditional autoregressive model for genetic association analysis accounting for genetic heterogeneity. [PDF]
Stat Med, 2022 Shen X, Wen Y, Cui Y, Lu Q.
europepmc +1 more source
Forecasting Carbon Prices: A Literature Review
Journal of Forecasting, EarlyView.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