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The source of statistics:New frontiers in survey methodology
source of statistics New frontiers survey methodology
2015/11/12
The United Nations Statistical Commission celebrates the fifth annual World Statistics Day today. Over 60 countries have joined together to coordinate activities based on the theme of "Bette...
Automatic Estimation of Flux Distributions of Astrophysical Source Populations
Broken power law CDFN X-ray survey Interwoven EM algorithm Likelihood com-putations logN logS Pareto distribution
2013/6/13
In astrophysics a common goal is to infer the flux distribution of populations of scientifically interesting objects such as pulsars or supernovae. In practice, inference for the flux distribution is ...
Understanding the source of multifractality in financial markets
Understanding source multifractality financial markets
2012/3/2
In this paper, we use the generalized Hurst exponent approach to study the multi- scaling behavior of different financial time series. We show that this approach is robust and powerful in detecting di...
Source Separation and Clustering of Phase-Locked Subspaces: Derivations and Proofs
Index Terms—phase-locking synchrony source separation
2011/7/5
Due to space limitations, our submission "Source Separation and Clustering of Phase-Locked Subspaces", accepted for publication on the IEEE Transactions on Neural Networks in 2011, presented some resu...
Closed-Form EM for Sparse Coding and Its Application to Source Separation
Closed-Form EM Sparse Coding Source Separation
2011/6/17
We define and discuss the first sparse coding algorithm based on closed-form EM
updates and continuous latent variables. The underlying generativemodel consists
of a flexibly parameterized ‘spike-an...
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
Bayesian Learning Temporally Correlated Signal Recovery
2011/3/23
We address the sparse signal recovery problem in the context of multiple measurement vectors (MMV) when elements in each nonzero row of the solution matrix are temporally correlated. Existing algorith...
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
Signal Recovery Temporally Correlated Bayesian Learning
2011/3/22
We address the sparse signal recovery problem in the context of multiple measurement vectors (MMV) when elements in each nonzero row of the solution matrix are temporally correlated. Existing algorith...
Quality of Source Location Protection in Globally Attacked Sensor Networks
Cryptography and Security (cs.CR) Probability (math.PR) Statistics Theory (math.ST)
2010/12/17
We propose an efficient scheme for generating fake network traffic to disguise the real event notification in the presence of a global eavesdropper, which is especially relevant for the quality of ser...
Downscaling extremes: A comparison of extreme value distributions in point-source and gridded precipitation data
Primary projections of extreme events reanalysis
2010/10/19
There is substantial empirical and climatological evidence that precipitation extremes have become more extreme during the twentieth century, and that this trend is likely to continue as global warmi...
ADIS——A robust pursuit algorithm for probabilistic，constrained and non-square blind source separation with application to fMRI
ADIS robust pursuit algorithm blind source separation fMRI
2010/3/18
In this article, we develop an algorithm for probabilistic and constrained projection pursuit.
Our algorithm called ADIS (automated decomposition into sources) accepts arbitrary non-linear
contrast ...
20 March 2007，Visitor arrivals from the People's Republic of China increased by 6,500 (76 percent) in February 2007, compared with February 2006, Statistics New Zealand said today. Some of the increas...