- Title Information
- Title
- Theory and Computation for Modern Probabilistic Models
- Name:
Personal
- Name Part
- Loper, Jackson Hoy
- Role
- Role Term:
Text
- creator
- Name:
Personal
- Name Part
- Geman, Stuart
- Role
- Role Term:
Text
- Advisor
- Name:
Personal
- Name Part
- Ramanan, Kavita
- Role
- Role Term:
Text
- Reader
- Name:
Personal
- Name Part
- Harrison, Matthew
- Role
- Role Term:
Text
- Reader
- Name:
Corporate
- Name Part
- Brown University. Department of Applied Mathematics
- Role
- Role Term:
Text
- sponsor
- Origin Information
- Copyright Date
- 2017
- Physical Description
- Extent
- 6, 86 p.
- digitalOrigin
- born digital
- Note:
thesis
- Thesis (Ph. D.)--Brown University, 2017
- Genre (aat)
- theses
- Abstract
- Modern probabilistic models involve computation and analysis in very high-dimensional spaces. Here we explore several of ways in which analysis of problems high dimensional spaces can be made more tractable by various reductions. In particular, we focus on finite approximations for sampling point processes, particle methods for sampling high-dimensional distributions, situations in which hitting times for brownian motion in high dimensional space take on particularly simple forms, and certain maximal characteristics on the infinite-dimensional space of couplings of two random variables with fixed marginal distributions.
- Subject
- Topic
- Machine Learning
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01068210")
- Topic
- Poisson processes
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00832611")
- Topic
- Biometry
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00839765")
- Topic
- Brownian motion processes
- Language
- Language Term (ISO639-2B)
- English
- Record Information
- Record Content Source (marcorg)
- RPB
- Record Creation Date
(encoding="iso8601")
- 20170616
- Identifier:
DOI
- 10.7301/Z0668BM7
- Access Condition:
rights statement
(href="http://rightsstatements.org/vocab/InC/1.0/")
- In Copyright
- Access Condition:
restriction on access
- Collection is open for research.
- Type of Resource (primo)
- dissertations