Results 71 to 80 of about 1,708 (192)
A Comparison of some non-parametric kernel estimators using simulations
In this research, we conducted a comprehensive investigation of various kernel functions employed in the estimation of nonparametric regression functions. In particular, we investigated the Nadaraya-Watson method and local polynomial regression
Rabab Abdulrida Saleh +1 more
doaj +1 more source
The proposed study combined the dual attention mechanism with a bidirectional long short‐term memory network (DA‐BiLSTM) for short‐term load forecasting. This technique was tested on two electric load datasets to assess its generalizability. Additionally, the robustness of DA‐BiLSTM was illustrated through comparative analysis with other deep learning ...
Sabiha Rani +7 more
wiley +1 more source
Exchange Rate Risk and Deviations From Purchasing Power Parity
ABSTRACT This paper proposes a new solution to the purchasing power parity (PPP) puzzles, arguing that investors' higher‐order risk attitudes, combined with higher‐order uncertainty about nominal exchange rates, as reflected by skewness and kurtosis, drive a risk premium that leads to deviations from PPP.
Michael G. Arghyrou +2 more
wiley +1 more source
Regression analysis is one of statistical analysis usually used to investigate the pattern of functional relation between predictor and response. The formed pattern of this relation is used to find the proper approach in estimating regression function ...
, ORYZA ARIFINA FIL LAEL +1 more
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The effect of result‐based agri‐environmental payments on biodiversity: Evidence from Switzerland
Abstract We estimate the effects of result‐based agri‐environmental payments on biodiversity using a unique dataset containing information about plant vegetation. The data include information on surveyed plant species for a large number of randomly selected plots followed over a period of 20 years in Switzerland.
Sergei Schaub, Tobias Roth, Petyo Bonev
wiley +1 more source
ABSTRACT Recent advances in sequencing technologies have allowed the collection of massive genome‐wide information that substantially enhances the diagnosis and prognosis of head and neck cancer. Identifying predictive markers for survival time is crucial for devising prognostic systems and learning the underlying molecular drivers of the cancer course.
Atika Farzana Urmi +2 more
wiley +1 more source
The issue of gender equality in Southeast Sulawesi still needs further attention, as indicated by the uneven value of the Gender Development Index (GDI) in each district/city in the region.
Andi Tenri Ampa +4 more
doaj +1 more source
Simulating Realistic Design Storms: A Joint Return Period Approach
Abstract Design storms are key components for planning drainage networks and flood risk management. Due to atmospheric processes, precipitation accumulations across multiple temporal intervals are often correlated and can combine to shape flood intensities. However, current design storm guidance overlook the observed correlations between return periods
Tabea Cache +4 more
wiley +1 more source
ESTIMATOR NADARAYA-WATSON DENGAN KERNEL ORDE BERHINGGA DAN TAK HINGGA
This article compared the performance between finite order kernel (normal) and infinite order kernel (sinus and cosinus) in Nadaraya Watson estimator by comparing the MSE values.
Apriani, Maria Suci
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On the asymptotic behavior of the Nadaraya-Watson estimator associated with the recursive SIR method
International audienceWe investigate the asymptotic behavior of the Nadaraya-Watson estimator for the estimation of the regression function in a semiparametric regression model.
Mong Ngoc Nguyen, Thi +2 more
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