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Sampling from the lattice Gaussian distribution has emerged as an important problem in coding, decoding and cryptography. In this paper, the classic Metropolis-Hastings (MH) algorithm in Markov chain ...
The problem of urban mobility is complicated by traffic delay, resulting from poor planning, high population density and poor condition of roads within urban spaces. This study assessed traffic conges...
The city environmental element was extracted using Geographical Information System (GIS). The influence of the city environmental element was correlated with the formation of land values and analyzed ...
Mobile mapping, a revolutionary surveying and mapping technology with multi-sensor and 3S (GPS, GIS and RS) integration, is a typical approach to satisfy the upcoming demand for efficient data captur...
The Metropolis algorithm is a widely used procedure for sampling from a specified distribution on a large finite set. We survey what is rigorously known about running times. This includes work from ...
Given a network of processes where each node has an initial scalar value, we consider the problem of computing their average asymptotically using a distributed, linear iterative algorithm. At each ite...
The study draws empirical evidence from adolescents (aged 10 to 19 years) and young adults (20 to 24 years) who use the Internet in exploring the relationship between two sets of independent variables...
Eigen Analysis for Some Examples of the Metropolis Algorithm.
What Do We Know about the Metropolis Algorithm.
A GEOMETRIC INTERPRETATION OF THE METROPOLIS-HASTINGS ALGORITHM.
Numerical Results for the Metropolis Algorithm。
Importance sampling, particularly sequential and adaptive importance sampling, have emerged as competitive simulation techniques to Markov–chain Monte–Carlo techniques. We compare importance sampling ...
We prove sharp rates of convergence to stationarity for a simple case of the Metropolis algorithm: the placement of a single disc of radius h randomly into the interval [−1 − h, 1 + h], w...
On characterizations of Metropolis type algorithms in continuous time

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