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Widely Linear vs. Conventional Subspace-Based Estimation of SIMO Flat-Fading Channels: Mean-Squared Error Analysis
Subspace-Based Estimation SIMO Flat-Fading Channels: Mean-Squared Error Analysis
2011/7/7
We analyze the mean-squared error (MSE) performance of widely linear (WL) and conventional subspace-based channel estimation for single-input multiple-output (SIMO) flat-fading channels employing bina...
Probabilistic principal component analysis (PPCA) seeks a low dimensional representation of a data set in the presence of independent spherical Gaussian noise, Sigma = (sigma^2)*I. The maximum likelih...
Reproducing kernels for spaces of zero mean functions. Application to sensitivity analysis
Kernel Methods Global Sensitivity Analysis Sobol-Hoeffding Decomposition
2011/7/6
Given a Reproducing Kernel Hilbert Space (H, h., .i) of real-valued functions and a suitable measure \mu over the source space, we decompose H as sum of a subspace of centered functions for {\mu} and ...
Modern Sequential Analysis and its Applications to Computerized Adaptive Testing
sequential analysis computerized adaptive testing mastery testing
2011/7/5
After a brief review of recent advances in sequential analysis involving sequential generalized likelihood ratio tests, we discuss their use in psychometric testing and extend the asymptotic optimalit...
The random design setting for linear regression concerns estimators based on a random sample of covariate/response pairs.
Distribution fitting 13. Analysis of independent, multiplicative effect of factors. Application to effect of essential oils extracts from plant species on bacterial species. Application to factors of antibacterial activity of plant species
factor analysis Negative Binomial distribution Poisson distribution
2011/7/5
A factor effect study was conducted on a set of observations at the contingency of a series of plant species and bacteria species regarding the antibacterial activity of essential oil extracts.
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences
Finite-Time Multi-armed Bandits Problems Kullback-Leibler Divergences
2011/6/20
We consider a Kullback-Leibler-based algorithmfor the stochastic multi-armed bandit prob-
lem in the case of distributions with finite supports (not necessarily known beforehand),
whose asymptotic r...
PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off
coherent framework PAC-Bayesian Analysis Exploration-Exploitation Trade-off
2011/6/21
We develop a coherent framework for integrative
simultaneous analysis of the explorationexploitation
and model order selection tradeoffs.
We improve over our preceding results
on the same subject ...
Sparse linear discriminant analysis by thresholding for high dimensional data
Classification high dimensionality misclassification rate nor-mality optimal classification rule sparse estimates
2011/6/20
In many social, economical, biological and medical studies, one
objective is to classify a subject into one of several classes based on
a set of variables observed from the subject. Because the prob...
Propensity Score Analysis with Matching Weights
Propensity score Causal inference Observational Study Match Inverse prob-ability weighting Double robustness Augmented Mirror histogram
2011/6/17
The propensity score analysis is one of the most widely used methods for study-
ing the causal treatment e ect in observational studies. This paper studies treatment
e ect estimation with the method...
Bayesian analysis of variable-order, reversible Markov chains
Reversibility reinforced random walks variable-order Markov chains Bayesian analysis conjugate priors
2011/6/17
We define a conjugate prior for the reversible Markov chain of
order r. The prior arises from a partially exchangeable reinforced
random walk, in the same way that the Beta distribution arises from
...
Baby Morse Theory in Data Analysis
Topology Morse theory persistence inference signal detection
2011/6/17
A methodology is proposed for inferring the topology underlying point cloud
data. The approach employs basic elements of Morse Theory, and is capable
of producing not only a point estimate of variou...
Rejoinder: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?
Climate change global warming paleoclimatology tempera-ture reconstruction model validation cross-validation time series
2011/6/17
We heartily thank Michael Stein and Brad Efron for selecting our paper
for discussion and for the tremendous task of recruiting and editing 13 discussion
articles on this controversial and timely to...
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits
PAC-Bayesian Analysis Martingales Multiarmed Bandits
2011/6/21
We present two alternative ways to apply PAC-Bayesian analysis to sequences of dependent
random variables. The first is based on a new lemma that enables to bound expectations
of convex functions of...
Matrix Variate Logistic Regression Analysis
Asymptotic theory Logistic regression Matrix variate covariates Regularization Tensor object
2011/6/17
Logistic regression has been widely applied in the field of biostatistics for a long
time. It aims to model the conditional success probability of an event of interest
as the logit function of a lin...