Almost Everything You Always Wanted to Know about NONLINEAR STATE SPACE MODELS (but were afraid to ask)

主讲人

David Stoffer

简介

<p>&nbsp;ABSTRACT:</p> <div>&nbsp;</div> <div>Ever wonder how the &quot;Mars One&quot; one-way trip to Mars will actually get to the planet without winding up on, say Venus? &nbsp;The tracking devices will use a nonlinear state space model. While inference for the linear Gaussian model is fairly simple, inference for nonlinear models can be difficult and often relies on derivative free numerical optimization techniques. &nbsp;A promising method that I will discuss is based on particle approximations of the conditional distribution of the hidden process given the data. This distribution is needed for both classical inference (e.g., Monte Carlo EM type algorithms) and Bayesian inference (e.g., Gibbs sampler). &nbsp;</div> <div>&nbsp;</div> <div>Particle methods are an extension of sequential importance sampling (SIS). Although the SIS algorithm has been known since the early 1970s, its use in nonlinear problems remained largely unnoticed until the early 1990s. Obviously the available computational power was too limited to allow convincing applications of these methods, but other difficulties plagued the technique. Time series data are typically long and particles have a tendency to die young. &nbsp;Consequently, the approach is cursed by dimensionality. But as Shakespeare noted, if dimensionality curseth, a better algorithm useth.&nbsp;</div>

时间

2015-06-01(星期一)16:40-18:00

地点

N301, Economic Building

讲座语言

English

主办单位

SOE & WISE

承办单位

Department of Statistics

类型

独立讲座

联系人信息

主持人

专题网站

专题

主讲人简介

<p>&nbsp;David S. Stoffer, Professor of University of Pittsburgh</p> <p>CV:&nbsp;<a href="/EventsMgr/Upload/File/2015/5/20150522094916756.pdf">EventsMgr/Upload/File/2015/5/20150522094916756.pdf</a></p>

期数

主讲人: David Stoffer
主讲人简介:

 David S. Stoffer, Professor of University of Pittsburgh

CV: EventsMgr/Upload/File/2015/5/20150522094916756.pdf

简介:
独立讲座
时间: 2015-06-01(星期一)16:40-18:00
地点: N301, Economic Building
主办单位: SOE & WISE
承办单位: Department of Statistics
类型: 独立讲座