Tensor-Valued Diffusion MRI for Microstructural Assessment During Stereotactic Radiotherapy of Brain Metastases: A Feasibility Study. [PDF]
Lerner M +6 more
europepmc +1 more source
Visualization of the Trochlear Nerve Using Deep Learning-enhanced 3D T2-weighted MR Imaging at 3T. [PDF]
Koshiishi T +17 more
europepmc +1 more source
Multi-objective optimization of gold price forecasting using the pareto alpha-cut technique. [PDF]
Bhavana P.
europepmc +1 more source
Expression of concern: "Linking clean energy consumption, globalization, and financial development to the ecological footprint in a developing country: Insights from the novel dynamic ARDL simulation techniques" [Heliyon 10 (2024) e27095]. [PDF]
europepmc +1 more source
The determinants of crude oil prices: Evidence from ARDL and nonlinear ARDL approaches
DR LEO - Working paper 2022 ...
Christophe Rault, Leila Ben Salem
exaly +6 more sources
ardl: Estimating autoregressive distributed lag and equilibrium correction models [PDF]
We present a command, ardl, for the estimation of autoregressive distributed lag (ARDL) models in a time-series context. The ardl command can be used to fit an ARDL model with the optimal number of autoregressive and distributed lags based on the Akaike ...
Sebastian Kripfganz
exaly +4 more sources
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Determinants of the Export Function in Morocco: Evidence from ARDL and Dynamic ARDL Models
Global Journal of Emerging Market Economies, 2023Maintaining an acceptable level of trade deficit is one of the main challenges of the trade policy in developing countries like Morocco. Therefore, studying the most influential factors of the export function is of foremost importance. In this regard, our article studies the impact of a set of supply and demand determinants on export behavior in ...
Fatiha El agri +3 more
openaire +1 more source
This paper investigates the impact of CO2 emissions, air pollution (PM2.5) exposure, foreign remittances, energy consumption, renewable energy consumption, trade openness, and gross domestic product per capita on health expenditure in a panel of the 27 highest emitting countries from 2000 to 2019.
Ghulam, Mujtaba, Saira, Ashfaq
openaire +2 more sources
Adaptive LASSO estimation for ARDL models with GARCH innovations [PDF]
In this paper we show the validity of the adaptive LASSO procedure in estimating stationary ARDL(p,q) models with GARCH innovations. We show that, given a set of initial weights, the adaptive Lasso selects the relevant variables with probability converging to one. Afterwards, we show that the estimator is oracle, meaning that its distribution converges
Medeiros, Marcelo C. +1 more
openaire +3 more sources
Nonlinear ARDL Approach and the J-Curve Phenomenon
Open Economies Review, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bahmani-Oskooee, Mohsen +1 more
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