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Exploring wind direction and SO2 concentration by circular-linear density estimation
Circular distributions Circular kernel estimation Circular{linear data Copula.
2012/9/17
The study of environmental problems usually requires the description of variables with di er-ent nature and the assessment of relations between them. In this work, an algorithm for exible estimation o...
Aggregating density estimators: an empirical study
Machine Learning Histogram Kernel Density Estimator Bootstrap,Bagging Boosting, Stacking.
2012/9/19
We present some new density estimation algorithms obtainedby bootstrap ag-gregation like Bagging. Our algorithms are analyzed and empirically compared to other methods found in the statistical literat...
Relative Density-Ratio Estimation for Robust Distribution Comparison
Density ratio Pearson divergence Outlier detection
2011/7/6
Divergence estimators based on direct approximation of density-ratios without going through separate approximation of numerator and denominator densities have been successfully applied to machine lear...
Functional approach for excess mass estimation in the density model
exceexcess mass functional estimation multivariate probability density rates of convergence upper bounds of the risk error
2009/9/16
We consider a multivariate density model where we estimate the excess mass of the unknown probability density $f$ at a given level $nu>0$ from $n$ i.i.d. observed random variables. This problem has se...
Kullback Leibler property of kernel mixture priors in Bayesian density estimation
Bayesian density estimation Dirichlet process, kernel mixture KullbackLeibler property posterior consistency
2009/9/16
Positivity of the prior probability of Kullback-Leibler neighborhood around the true density, commonly known as the Kullback-Leibler property, plays a fundamental role in posterior consistency. A popu...
Least squares type estimation of the transition density of a particular hidden Markov chain
Hidden Markov Chain Transition Density Nonparametric Estimation Model Selection Rate of convergence
2009/9/16
In this paper, we study the following model of hidden Markov chain: $Y_i=X_i+varepsilon_i$, $ i=1,dots,n+1$ with $(X_i)$ a real-valued stationary Markov chain and $(varepsilon_i)_{1leq ileq n+1}$ a no...