Redirigiendo al acceso original de articulo en 21 segundos...
ARTÍCULO
TITULO

Visit Probability in Space?Time Prisms Based on Binomial Random Walk

Deepak Elias and Bart Kuijpers    

Resumen

Space?time prisms are used to model the uncertainty of space?time locations of moving objects between (for instance, GPS-measured) sample points. However, not all space?time points in a prism are equally likely and we propose a simple, formal model for the so-called ?visit probability? of space?time points within prisms. The proposed mathematical framework is based on a binomial random walk within one- and two-dimensional space?time prisms. Without making any assumptions on the random walks (we do not impose any distribution nor introduce any bias towards the second anchor point), we arrive at the conclusion that binomial random walk-based visit probability in space?time prisms corresponds to a hypergeometric distribution.

 Artículos similares

       
 
Yicong Liu, Eric J. Miller, Khandker Nurul Habib     Pág. 335 - 359
The land-use/transport interaction (LUTI) modeling framework has become the current state of best practice for analyzing the interdependency between the land-use and transportation systems. This paper presents a comprehensive review of the housing market... ver más

 
Asad Iqbal, Muhammad Zubair, Muhammad Asghar Khan, Insaf Ullah, Ghani Ur-Rehman, Alexey V. Shvetsov and Fazal Noor    
Vehicular ad hoc networks (VANETs) have become an essential part of the intelligent transportation system because they provide secure communication among vehicles, enhance vehicle safety, and improve the driving experience. However, due to the openness a... ver más
Revista: Future Internet

 
Ayad Rodhan Abbas, Bashar Saadoon Mahdi and Osamah Younus Fadhil    
Anticancer peptides (ACPs) are short protein sequences; they perform functions like some hormones and enzymes inside the body. The role of any protein or peptide is related to its structure and the sequence of amino acids that make up it. There are 20 ty... ver más

 
Jogeswar Tripathy, Rasmita Dash, Binod Kumar Pattanayak, Sambit Kumar Mishra, Tapas Kumar Mishra and Deepak Puthal    
In high-dimensional data analysis, Feature Selection (FS) is one of the most fundamental issues in machine learning and requires the attention of researchers. These datasets are characterized by huge space due to a high number of features, out of which o... ver más

 
Ebrahem A. Algehyne, Muhammad Lawan Jibril, Naseh A. Algehainy, Osama Abdulaziz Alamri and Abdullah K. Alzahrani    
Breast cancer is one of the common malignancies among females in Saudi Arabia and has also been ranked as the one most prevalent and the number two killer disease in the country. However, the clinical diagnosis process of any disease such as breast cance... ver más