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A Bayesian Approach to Detection of Small Low Emission Sources
Bayes factor Model selection Parallel tempering Radiation source detection
2011/7/19
The article addresses the problem of detecting presence and location of a small low emission source inside of an object, when the background noise dominates. This problem arises, for instance, in some...
Riemannian statistics geometry: A counterpart approach of inference geometry
Geometrical Methods in Statistics
2011/7/19
Riemannian statistics geometry is proposed in this work as a counterpart approach of inference geometry.
A Variational Bayes Approach to Decoding in a Phase-Uncertain Digital Receiver
Variational Bayes approximation phase synchronization
2011/7/19
This paper presents a Bayesian approach to symbol and phase inference in a phase-unsynchronized digital receiver. It primarily extends [Quinn 2011] to the multi-symbol case, using the variational Baye...
Geometric Allocation Approach for Transition Kernel of Markov Chain
Markov chain Transition kernel Geometric allocation
2011/7/7
We introduce a new geometric approach that constructs a transition kernel of Markov chain. Our method always minimizes the average rejection rate and even reduce it to zero in many relevant cases, whi...
A Markov Chain approach to determine the optimal performance period and bad definition for credit scorecard
Markov Chain approach optimal performance period bad definition credit scorecard
2011/7/6
Performance period determination and bad definition for credit scorecard has been a mix of fortune for the typical data modeler.
Dynamic Large Spatial Covariance Matrix Estimation in Application to Semiparametric Model Construction via Variable Clustering: the SCE approach
Time Series Covariance Estimation Regularization, Sparsity
2011/7/6
To better understand the spatial structure of large panels of economic and financial time series and provide a guideline for constructing semiparametric models, this paper first considers estimating a...
Test function: A new approach for covering the central subspace
Sufficient dimension reduction Central subspace Inverse regression
2011/7/5
In this paper we offer a complete methodology for sufficient dimension reduction called the test function (TF). TF provides a new family of methods for the estimation of the central subspace (CS) base...
Identifying Hosts of Families of Viruses: A Machine Learning Approach
viral host machine learning adaboost alternating decision tree mismatch k-mers
2011/6/21
Identifying viral pathogens and characterizing their transmission is essential to developing effective
public health measures in response to a pandemic. Phylogenetics, though currently the most popul...
A trigonometric approach to quaternary code designs with application to one-eighth and one-sixteenth fractions
Aliasing index branching technique generalized minimum aberration generalized resolution Gray map nonregular design projectivity
2011/6/17
The study of good nonregular fractional factorial designs has re-
ceived significant attention over the last two decades. Recent research
indicates that designs constructed from quaternary codes (QC...
Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency
Model averaging Variational Bayes inference Markov Chain Unsu-pervised classification
2011/6/16
We consider a binary unsupervised classi cation problem where each observation
is associated with an unobserved label that we want to retrieve. More precisely, we
assume that there are two groups of...
A Gibbs approach to Chargaff's second parity rule
Reverse complementary relation Chargaff’s parity rules Gibbs measure Central Limit Theorem
2011/6/21
Chargaff’s second parity rule (CSPR) asserts that the frequencies of short polynucleotide chains are
the same as those of the complementary reversed chains. Up to now, this hypothesis has only been
...
Slipping Anchor?: Testing the Vignettes Approach to Identification and Correction of Reporting Heterogeneity
Slipping Anchor Testing Vignettes Approach Identification Correction Reporting Heterogeneity
2016/3/9
We propose tests of the two assumptions under which anchoring vignettes identify heterogeneity in reporting of categorical evaluations. Systematic variation in the perceived difference between any two...
Causality as a unifying approach between activation and connectivity analysis of fMRI data
Causality activations functional connectivity fMRI
2011/3/24
This paper indicates causality as the tool that unifies the analysis of both activations and connectivity of brain areas, obtained with fMRI data. Causality analysis is commonly applied to study conne...
Analytic Loss Distributional Approach Model for Operational Risk from the alpha-Stable Doubly Stochastic Compound Processes and Implications for Capital Allocation
Operational Risk Loss Distributional Approach Doubly stochastic Poisson Process -Stable Basel II Solvency II
2011/3/25
Under the Basel II standards, the Operational Risk (OpRisk) advanced measurement approach is not prescriptive regarding the class of statistical model utilised to undertake capital estimation. It has ...
A Constrained L1 Minimization Approach to Sparse Precision Matrix Estimation
constrained ℓ 1 minimization covariance matrix Frobenius norm Gaus-sian graphical model rate of convergence precision matrix spectral norm
2011/3/21
A constrained L1 minimization method is proposed for estimating a sparse inverse covariance matrix based on a sample of $n$ iid $p$-variate random variables. The resulting estimator is shown to enjoy ...
