Results 251 to 260 of about 417,282 (310)

The effect of productive capacity changes, income, and clean energy on ecological sustainability in China by novel KRLS approach. [PDF]

Sci Rep
Kartal MT, Magazzino C, Mukhtarov S, Kirikkaleli D, Costantiello A, Mammadov J.   +5 more
europepmc   +1 more source

Continuities in Policies and Turnover Among Actors: Instrument Constituencies in French Primary Care Reforms

European Policy Analysis, EarlyView.
ABSTRACT Over the past decade, the concept of “instrument constituency” has been proposed as a way in which to bridge studies on policy networks and policy instruments. This concept focuses on policy networks composed of diverse actors who are brought together by the shared goal of promoting a specific instrument.
Noémie Morize
wiley   +1 more source

Sectoral sensitivity of the Kuwait stock market to a dual shock. [PDF]

PLoS One
Alotaibi T, Morales L.
europepmc   +1 more source

Assessing Barriers to Adoption of Battery Electric Vehicles Using Decision‐Making Trial and Evaluation Laboratory Combined With Analytic Network Process

Energy Science &Engineering, EarlyView.
The study analyzes barriers to electric vehicle growth in India using DEMATEL and ANP. It distinguishes cause‐and‐effect barriers and ranks them. Major barriers include poor charging infrastructure and high costs. ABSTRACT This study employs a hybrid technique based on the Decision‐Making Trial Evaluation Laboratory (DEMATEL), Analytic Network Process (
Sanjeev Kumar, Dinesh Yadav, Prabhu Paramasivam, Swathi Gowroju, Rupesh Gupta, Praveen Kumar Kanti, Leliso Hobicho Dabelo   +6 more
wiley   +1 more source

Beyond just correlation: causal machine learning for the microbiome, from prediction to health policy with econometric tools. [PDF]

Front Microbiol
Khelfaoui I, Wang W, Meskher H, Shehata AI, El Basuini MF, Abouelenein MF, Degha HE, Alhoshy M, Teiba II, Mahmoud SS.   +9 more
europepmc   +1 more source

Augmenting Neural Networks With Time‐Varying Weights

Journal of Forecasting, EarlyView.
ABSTRACT In the macroeconomic forecasting community, there is increasing interest in machine learning methods that can extract nonlinear predictive content from large datasets with a high number of predictors. Meanwhile, time‐varying parameter (TVP) models are known to flexibly model time series by allowing regression coefficients to vary over time ...
William Rudd, Howard Bondell, Jeremy Silver   +2 more
wiley   +1 more source

Study on the spatial and temporal evolution characteristics and spatial influencing factors of carbon emission intensity in commercial land. [PDF]

Sci Rep
Tian N, Tan L.
europepmc   +1 more source

Modeling and Forecasting Stochastic Seasonality: Are Seasonal Autoregressive Integrated Moving Average Models Always the Best Choice?

Journal of Forecasting, EarlyView.
ABSTRACT In this paper, we study models for stochastic seasonality and compare the well‐known SARIMA models to Seasonal Autoregressive Unit Root Moving Average (SARUMA) models. SARUMA models assume that the polynomial of the stationarizing differencing operator has roots on the unit circle at some seasonal frequencies, while SARIMA models impose roots ...
Evangelos E. Ioannidis, Sofia‐Eirini Nikolakakou   +1 more
wiley   +1 more source

Socioeconomic determinants of affordability of medication: a panel data econometric analysis in Iran. [PDF]

BMC Health Serv Res
Rajabi MJ, Ghasemi M, Peikanpour M, Rasekh HR.   +3 more
europepmc   +1 more source

Shock‐Triggered Asymmetric Response Stochastic Volatility

Journal of Forecasting, EarlyView.
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