We develop a general method for estimating the implied, martingale equivalent, probability density function (PDF) for futures prices from American options prices. The early exercise feature of ...
Abstract: The brief proposes a radial basis function (RBF) neural network (NN)-enabled adaptive filter (AF) algorithm, which consists of two stages. The first stage is a data-driven (DD) preprocessing ...
Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Department of Imaging ...
Objectives Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterised by multiorgan involvement.
Abstract: This letter deals with robust estimation of the output layer weights in a radial basis function network (RBFN) with predetermined hidden layer parameters. Specifically, we presume a RBFN ...
Faye, I. and Ndiaye, M. (2025) Hydrological Study on the Rehabilitation of Aghor Pond for Refugee Livestock in the Commune of El Meghve, Mauritania. Journal of Water Resource and Protection, 17, ...
This is a repository with source code for the paper "DapFall: Dynamic Amplitude Probability Density Profile based WiFi CSI Sensing for Fall Detection" . Using Wi-Fi Channel State Information (CSI) is ...
There was an error while loading. Please reload this page. This Python script uses the tabula-py and pandas libraries to convert a PDF file into an Excel file. Each ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
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