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In our days, the fight against pollution has become a real challenge for the state. recycling is one of the solutions that is adopted in several nations to reduce the rate of plastic discarded in nature.
Alaeddine Oussai +3 more
doaj +1 more source
Restricted Covariance Priors with Applications in Spatial Statistics [PDF]
We present a Bayesian model for area-level count data that uses Gaussian random effects with a novel type of G-Wishart prior on the inverse variance--covariance matrix.
Dobra, Adrian +2 more
core +2 more sources
Statistics of weighted Poisson events and its applications [PDF]
The statistics of the sum of random weights where the number of weights is Poisson distributed has important applications in nuclear physics, particle physics and astrophysics.
Bohm, G., Zech, G.
core +1 more source
Delta method in large deviations and moderate deviations for estimators [PDF]
The delta method is a popular and elementary tool for deriving limiting distributions of transformed statistics, while applications of asymptotic distributions do not allow one to obtain desirable accuracy of approximation for tail probabilities.
Gao, Fuqing, Zhao, Xingqiu
core +2 more sources
The near-extreme density of intraday log-returns [PDF]
The extreme event statistics plays a very important role in the theory and practice of time series analysis. The reassembly of classical theoretical results is often undermined by non-stationarity and dependence between increments.
Chakraborti, Anirban +2 more
core +5 more sources
Cram\'{e}r-type moderate deviations for Studentized two-sample $U$-statistics with applications
Two-sample $U$-statistics are widely used in a broad range of applications, including those in the fields of biostatistics and econometrics. In this paper, we establish sharp Cram\'{e}r-type moderate deviation theorems for Studentized two-sample $U ...
Chang, Jinyuan +2 more
core +1 more source
A method for generating realistic correlation matrices [PDF]
Simulating sample correlation matrices is important in many areas of statistics. Approaches such as generating Gaussian data and finding their sample correlation matrix or generating random uniform $[-1,1]$ deviates as pairwise correlations both have ...
Garcia, Stephan Ramon +2 more
core +5 more sources
Non-Asymptotic Output Statistics of Random Binning and Its Applications
In this paper we develop a finite blocklength version of the Output Statistics of Random Binning (OSRB) framework. The framework is shown to be optimal in the point-to-point case.
Aref, Mohammad Reza +2 more
core +1 more source
Locality statistics for anomaly detection in time series of graphs
The ability to detect change-points in a dynamic network or a time series of graphs is an increasingly important task in many applications of the emerging discipline of graph signal processing. This paper formulates change-point detection as a hypothesis
Park, Youngser +3 more
core +1 more source
Comment on "Support Vector Machines with Applications"
Comment on "Support Vector Machines with Applications" [math.ST/0612817]Comment: Published at http://dx.doi.org/10.1214/088342306000000475 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.
Bartlett, Peter L. +2 more
core +2 more sources

