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Semiinfinite Flags. I. Case of Global Curve P^1
Half infinite flags curve around the world
2014/12/29
Semiinfinite Flags. I. Case of Global Curve P^1.
A Robust Bayesian Dynamic Linear Model to Detect Abrupt Changes in an Economic Time Series: The Case of Puerto Rico
Dynamic Models Consumer Price Index Bayesian Robustness
2013/4/28
Economic indicators time series are usually complex with high frequency data. The traditional time series methodology requires at least a preliminary transformation of the data to get stationarity. On...
K-Nearest Neighbour algorithm coupled with logistic regression in medical case-based reasoning systems. Application to prediction of access to the renal transplant waiting list in Brittany
Case-based Reasoning systems logistic models similarity measures k-nearest neighbors algorithms classi-fication
2013/4/28
Introduction. Case Based Reasoning (CBR) is an emerg- ing decision making paradigm in medical research where new cases are solved relying on previously solved similar cases. Usually, a database of sol...
Concepts and a case study for a flexible class of graphical Markov models
Concepts a case study a flexible class graphical Markov models
2013/4/27
With graphical Markov models, one can investigate complex dependences, summarize some results of statistical analyses with graphs and use these graphs to understand implications of well-fitting models...
Efficient sampling of high-dimensional Gaussian fields: the non-stationary / non-sparse case
Efficient sampling high-dimensional Gaussian non-stationary non-sparse case
2011/6/20
This paper is devoted to the problem of sampling Gaussian fields
in high dimension. Solutions exist for two specific structures of inverse
covariance : sparse and circulant. The proposed approach is...
Almost sure convergence and asymptotical normality of a generalization of Kesten's stochastic approximation algorithm for multidimensional case
Kesten's stochastic approximation algorithm multidimensional
2011/6/20
It is shown the almost sure convergence and asymptotical normality of a generalization of
Kesten's stochastic approximation algorithm for multidimensional case.
In this generalization, the step incr...
Using Logistic Regression to Analyze the Balance of a Game: The Case of StarCraft II
Balance of a Game Logistic Regression StarCraft II
2011/6/16
Recently, the market size of online game has been increasing astonishingly fast, and so does the
importance of good game design. In online games, usually a human user competes with others,
so the fa...
Principal Component Analysis with Contaminated Data：The High Dimensional Case
Statistical Learning Dimension Reduction Principal Component Analysis Robustness Outlier
2010/3/10
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for
contaminated data in the high dimensional regime, where the number of observations is of the s...
The distribution of the maximum of a second order autoregressive process:the continuous case
Autoregressive process Fredholm kernel Maximum
2010/3/9
We give the distribution function of Mn, the maximum of a sequence of n
observations from an autoregressive process of order 2. Solutions are first given in terms
of repeated integrals and then for ...
Asymptotic expansions for conditional distributions: The lattice case
Asymptotic expansions conditional distributions The lattice case
2009/9/24
Asymptotic expansions for conditional distributions: The lattice case。
Estimation of a number of errors in case of repetitive quality control
Estimation errors in case of repetitive quality control
2009/9/24
The estimation of a number of defects of a specified
part of a homogeneous product is considered. A natural estimator,
although well justified by a hewistical reasoning, is proved to be
asymptotica...
Estimates for the Poisson kernels on homogeneous manifolds of negative curvature and the boundary Harnack inequality in the noncoercive case
Estimates for the Poisson kernels homogeneous manifolds negative curvature the boundary Harnack inequality
2009/9/21
Using a probabilistic technique we obtain upper and
lower estimates for the Poisson kernels of the second order diflerential
operators on a homogeneous manifold of negative curvature. Our
results i...
The Case for Objective Bayesian Analysis
History of objective Bayes reference priors matching priors Jereys priors frequentist validation subjective Bayes unication of statistics coherency marginalization paradox
2009/9/21
Bayesian statistical practice makes extensive use of versions of ob-
jective Bayesian analysis. We discuss why this is so, and address some of the
criticisms that have been raised concerning objecti...
COMPUTING THE PORTFOLLO CONDITIONAL VALUE-AT-RISK IN THE a-STABLE CASE
Stable distributions heavy tails coherent risk measures conditional value-at-risk
2009/9/18
The class of a-stable distributions is an attractive
probabilistic model of asset returns distribution in the field of finance.
When dealing with real issues, such ar optimal portfolio selection, it...
Functional deconvolution in a periodic setting：Uniform case
Adaptivity Besov spaces block thresholding deconvolution Fourier analysis functional data Meyer wavelets
2010/4/27
We extend deconvolution in a periodic setting to deal with functional
data. The resulting functional deconvolution model can be
viewed as a generalization of a multitude of inverse problems in mathe...