Results 111 to 120 of about 68,570 (162)

Spatiotemporal patterns, associated factors, and forecasting of pulmonary tuberculosis: a 19-year township-level case study in Zigong City, China. [PDF]

BMC Public Health
Mu Q, Cao H, Li F, Wang B, Zhang S, Luo R, Liu J, Liu P, Deng J, Wang C.   +9 more
europepmc   +1 more source

A study on spatial association of poor child health outcomes and multidimensional poverty in India. [PDF]

BMC Public Health
Das P, Roy TB, Bisai S, Das T, Das P, Saha S.   +5 more
europepmc   +1 more source

A forecasting tool of hospital demand during heat periods: a case study in Bern, Switzerland

Di Domenico L, Wohlfender MS, Hautz WE, Vicedo-Cabrera AM, Althaus CL.   +4 more
europepmc   +1 more source

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The autoregressive distributed lag model

2022
202307 bcww ; Accepted Manuscript ; Self-funded ; Published ; Green (AAM)
Liu, A, Liu, X
openaire   +2 more sources

Likelihood-based quantile autoregressive distributed lag models and its applications

Journal of Applied Statistics, 2019
Time lag effect exists widely in the course of economic operation. Some economic variables are affected not only by various factors in the current period but also by various factors in the past and even their own past values. As a class of dynamical models, autoregressive distributed lag (ARDL) models are frequently used to conduct dynamic regression ...
Yuzhu, Tian, Liyong, Wang, Manlai, Tang, Yanchao, Zang, Maozai, Tian   +4 more
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Modelling malaria incidence by an autoregressive distributed lag model with spatial component

Spatial and Spatio-temporal Epidemiology, 2017
The influence of climatic variables on the dynamics of human malaria has been widely highlighted. Also, it is known that this mosquito-borne infection varies in space and time. However, when the data is spatially incomplete most popular spatio-temporal methods of analysis cannot be applied directly.
Francisco, Laguna, María Eugenia, Grillet, José R, León, Carenne, Ludeña   +3 more
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Quantile cointegration in the autoregressive distributed-lag modeling framework

Journal of Econometrics, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cho, Jin Seo, Kim, Tae-hwan, Shin, Yongcheol   +2 more
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Determinants of Inflation in Ethiopia: Autoregressive Distributed Lag Model

Journal of Economic Research & Reviews, 2023
Price stability is one of the major goals of monetary policy and the key indicators of macroeconomic stability. Pursuing of price stability is primary to long-run growth and development; it should be the concern of every economy. This study examine the factors in determining inflation in Ethiopia, using the autoregressive distributed lag (ARDL) model ...
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A Guide to Autoregressive Distributed Lag Models for Impulse Response Estimations*

Oxford Bulletin of Economics and Statistics, 2022
We provide a guide to using autoregressive distributed lag models for impulse response estimations with an identified structural shock or an external instrument for the shock. We illustrate how specifications widely used in practice can lead to inconsistent and inefficient estimators.
Baek, ChaeWon, Lee, Byoungchan
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Forecast GDP with Autoregressive Distributed Lag Model and Dynamic Factor Model

Proceedings of the 2021 1st International Conference on Control and Intelligent Robotics, 2021
Several methods of time series forecast, including an ADL model, a parameric DFM, and a nonparametric DFM using PCA, were used to forecast US GDP in 2019 using time series data of quarterly US macroeconomic variables from the FRED database. Results were compared with each other and with the true value of GDP in 2019 to compare the models' predictive ...
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