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Daneshyari Statistics and Probability Journas Latest Articles

Statistics and Probability Research Articles

On the strong convergence of the optimal linear shrinkage estimator for large dimensional covariance matrix
Fulltext Access 14 Pages 2014
Second-order tail asymptotics of deflated risks
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Bringing cost transparency to the life annuity market
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Viscosity solution and impulse control of the diffusion model with reinsurance and fixed transaction costs
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Evaluating the UK and Dutch defined-benefit pension policies using the holistic balance sheet framework
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An error-in-variable projection to latent structure framework for monitoring technical systems with orthogonal signal components
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New contributions to non-linear process monitoring through kernel partial least squares
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Multimode process monitoring using improved dynamic neighborhood preserving embedding
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Stationary max-stable processes with the Markov property
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Bayesian inference in nonparametric dynamic state-space models
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Compatibility results for conditional distributions
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An exact test about the covariance matrix
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Model checking in Tobit regression via nonparametric smoothing
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Generalized dynamic panel data models with random effects for cross-section and time
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Equivalence testing of mean vector and covariance matrix for multi-populations under a two-step monotone incomplete sample
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Two-sample location–scale estimation from semiparametric random censorship models
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Empirical likelihood for partly linear models with errors in all variables
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Identifiability of cure models revisited
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Semiparametric estimation of a class of generalized linear models without smoothing
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A revisit to correlation analysis for distortion measurement error data
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Deflation-based separation of uncorrelated stationary time series
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Marginal regression analysis of clustered failure time data with a cure fraction
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Asymptotic expansion for distribution of the trace of a covariance matrix under a two-step monotone incomplete sample
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Some prediction problems for stationary random fields with quarter-plane past
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A test for multivariate skew-normality based on its canonical form
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Testing for serial independence of panel errors
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Spatially significant cluster detection
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Reduced-rank vector generalized linear models with two linear predictors
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Credal ensembles of classifiers
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Classification with decision trees from a nonparametric predictive inference perspective
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Data mining for longitudinal data under multicollinearity and time dependence using penalized generalized estimating equations
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A Bayesian model for longitudinal circular data based on the projected normal distribution
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Simulation-based Bayesian inference for epidemic models
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State space mixed models for binary responses with scale mixture of normal distributions links
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Approximate inference for spatial functional data on massively parallel processors
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Automated learning of factor analysis with complete and incomplete data
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A fluctuation test for constant Spearman's rho with nuisance-free limit distribution
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Panel cointegration testing in the presence of a time trend
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Maximal correlation in a non-diagonal case
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Long memory with stochastic variance model: A recursive analysis for US inflation
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Sovereign credit ratings, market volatility, and financial gains
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Bounding rare event probabilities in computer experiments
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Estimating turning points using large data sets
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Testing for unit roots in bounded time series
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Volatility activity: Specification and estimation
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An alternative quasi likelihood approach, Bayesian analysis and data-based inference for model specification
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Testing cointegration relationship in a semiparametric varying coefficient model
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A score-test on measurement errors in rating transition times
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Causal discourse in a game of incomplete information
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Nonparametric estimation and inference for conditional density based Granger causality measures
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Intelligent jamming region division with machine learning and fuzzy optimization for control of robot’s part micro-manipulative task
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Capturing customer judgments of product category
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A seven-dimensional flow analysis to help autonomous network management
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List-wise probabilistic matrix factorization for recommendation
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A framework for edge detection based on relief functions
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Single-image motion deblurring using an adaptive image prior
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A novel segmentation based video-denoising method with noise level estimation
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Equivalence operators that are associative
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Alternative second-order cone programming formulations for support vector classification
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Hierarchical description of uncertain information
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A group decision-making approach using a method for constructing a linguistic scale
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Recognizing architecture styles by hierarchical sparse coding of blocklets
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Cooperation of multiple mobile sensors with minimum energy cost for mobility and communication
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A reversible acoustic data hiding method based on analog modulation
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A new adaptive decentralized soft decision combining rule for distributed sensor systems with data fusion
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Nonparallel hyperplane support vector machine for binary classification problems
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Clustering-based ensembles for one-class classification
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Fast decorrelated neural network ensembles with random weights
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Safe science classrooms: Teacher training through serious educational games
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Development of multidimensional academic information networks with a novel data cube based modeling method
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A scalable re-ranking method for content-based image retrieval
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An efficient Particle Swarm Optimization approach to cluster short texts
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Acceleration of decision making in sound event recognition employing supercomputing cluster
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Oppositional extension of reinforcement learning techniques
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Exponential stability of descriptor systems with large delay period based on a switching method
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An opportunistic and non-anticipating size-aware scheduling proposal for mean holding cost minimization in time-varying channels
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Second-order asymptotic theory for calibration estimators in sampling and missing-data problems
Fulltext Access 14 Pages 2014
Estimating high dimensional covariance matrices: A new look at the Gaussian conjugate framework
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Varying coefficient subdistribution regression for left-truncated semi-competing risks data
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Exchangeable Hoeffding decompositions over finite sets: A combinatorial characterization and counterexamples
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Approximate queue length distribution of a discriminatory processor sharing queue with impatient customers
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Semiparametric inference with a functional-form empirical likelihood
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Component selection in additive quantile regression models
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On a perturbed Sparre Andersen risk model with dividend barrier and dependence
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Large deviations of an infinite-server system with a linearly scaled background process
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Performance evaluation of fragmented structures: A theoretical study
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Perfect sampling for closed queueing networks
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A distributed speed scaling and load balancing algorithm for energy efficient data centers
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Shape annotation by semi-supervised fuzzy clustering
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Building a high-performance key–value cache as an energy-efficient appliance
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Low computational complexity family of affine projection algorithms over adaptive distributed incremental networks
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Fuzzy Ideals and Fuzzy Interior Ideals in Ordered Semirings
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New Hesitant Fuzzy Operators
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Bounding maximum likelihood estimates based on incomplete ordered data
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Mean field variational Bayesian inference for support vector machine classification
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Fast balanced sampling for highly stratified population
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Group subset selection for linear regression
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Kalman filter variants in the closed skew normal setting
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Analysing microarray expression data through effective clustering
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Facial-feature detection and localization based on a hierarchical scheme
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