20 citations · 26 across the 5 of their papers we have counts for
6 papers
Tracking multiple moving objects in images using Markov Chain Monte Carlo
Lan Jiang, Sumeetpal S. Singh
A new Bayesian state and parameter learning algorithm for multiple target tracking (MTT) models with image observations is proposed. Specifically, a Markov chain Monte Carlo algori…
GAIL---Guaranteed Automatic Integration Library in MATLAB: Documentation for Version 2.1
Sou-Cheng T. Choi, Yuhan Ding, Fred J. Hickernell +5
Automatic and adaptive approximation, optimization, or integration of functions in a cone with guarantee of accuracy is a relatively new paradigm. Our purpose is to create an open-…
Guaranteed Monte Carlo Methods for Bernoulli Random Variables
Lan Jiang, Fred J. Hickernell
Simple Monte Carlo is a versatile computational method with a convergence rate of . It can be used to estimate the means of random variables whose distributions are un…
Bayesian tracking and parameter learning for non-linear multiple target tracking models
Lan Jiang, Sumeetpal S. Singh, Sinan Yıldırım
We propose a new Bayesian tracking and parameter learning algorithm for non-linear non-Gaussian multiple target tracking (MTT) models. We design a Markov chain Monte Carlo (MCMC) a…
Estimating the Static Parameters in Linear Gaussian Multiple Target Tracking Models
Sinan Yildirim, Lan Jiang, Sumeetpal S. Singh +1
We present both offline and online maximum likelihood estimation (MLE) techniques for inferring the static parameters of a multiple target tracking (MTT) model with linear Gaussian…
Guaranteed Conservative Fixed Width Confidence Intervals Via Monte Carlo Sampling
Fred J. Hickernell, Lan Jiang, Yuewei Liu +1
Monte Carlo methods are used to approximate the means, , of random variables , whose distributions are not known explicitly. The key idea is that the average of a random samp…