Sciweavers

24 search results - page 1 / 5
» Nonparametric statistical inference for ergodic processes
Sort
View
TIT
2010
104views Education» more  TIT 2010»
12 years 11 months ago
Nonparametric statistical inference for ergodic processes
In this work a method for statistical analysis of time series is proposed, which is used to obtain solutions to some classical problems of mathematical statistics under the only as...
Daniil Ryabko, Boris Ryabko
JACM
2010
208views more  JACM 2010»
13 years 3 months ago
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
ICML
2010
IEEE
13 years 6 months ago
Clustering processes
The problem of clustering is considered, for the case when each data point is a sample generated by a stationary ergodic process. We propose a very natural asymptotic notion of co...
Daniil Ryabko
CORR
2006
Springer
91views Education» more  CORR 2006»
13 years 5 months ago
Universal Codes as a Basis for Time Series Testing
We suggest a new approach to hypothesis testing for ergodic and stationary processes. In contrast to standard methods, the suggested approach gives a possibility to make tests, ba...
Boris Ryabko, Jaakko Astola
CSDA
2007
126views more  CSDA 2007»
13 years 4 months ago
A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
Yongqiang Tang, Subhashis Ghosal