Results 131 to 140 of about 62,954 (311)

Bayesian spatio-temporal modelling of child anemia in Ethiopia using conditional autoregressive model. [PDF]

Sci Rep, 2022
Tessema ZT, Tesema GA, Ahern S, Earnest A.   +3 more
europepmc   +1 more source

Mono‐dimensional, two‐dimensional and Doppler echocardiographic measurements in healthy Standardbred neonatal foals in the first 5 days of life

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, Giulia Forni, Gayle Hallowell, Carolina Castagnetti, Laura Menchetti, Giovanni Romito, Aliai Lanci, Jole Mariella, Francesca Freccero   +8 more
wiley   +1 more source

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

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 spatio-temporal autoregressive model for monitoring and predicting COVID infection rates. [PDF]

J Geogr Syst, 2022
Congdon P.
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, Dimitris Christopoulos, George Tzougas   +2 more
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

Weak convergence in the functional autoregressive model [PDF]

, 2005
André Mas
openalex   +1 more source

Evidence from the nonlinear autoregressive distributed lag model on the asymmetric influence of the first wave of the COVID-19 pandemic on energy markets

, 2022
Daniel Armeanu, Ştefan Cristian Gherghina, Jean Vasile Andrei, Camelia Cătălina Joldeș   +3 more
openalex   +2 more sources

A Two‐Stage NLP‐Driven Framework for Interval‐Valued Carbon Price Prediction Using Sentiment Analysis and Error Correction

Journal of Forecasting, EarlyView.
ABSTRACT Accurate predictions of carbon prices are essential for efficient administration and stable operation of carbon markets. Previous studies have mostly focused on point or interval predictions based on point‐valued data. These approaches insufficiently capture the full extent of market volatility.
Di Sha, Xianyi Zeng, Arne Johannssen, Ruolin Wang, Kim Phuc Tran   +4 more
wiley   +1 more source