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Daneshyari Statistics and Probability Journas Latest Articles

Statistics and Probability Research Articles

General framework and model building in the class of Hidden Mixture Transition Distribution models
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LAIM discretization for multi-label data
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Can animation support the visualisation of dynamic graphs?
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Predicting the listing status of Chinese listed companies with multi-class classification models
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The role of local partial independence in learning of Bayesian networks
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Decision functions for chain classifiers based on Bayesian networks for multi-label classification
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Hierarchical multilabel classification based on path evaluation
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Frequentistic approximations to Bayesian prevision of exchangeable random elements
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Geometric views on conflicting mass functions: From distances to angles
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Robust subspace segmentation via nonconvex low rank representation
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Mixtures of quantile regressions
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Laplace mixture of linear experts
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Predefined pattern detection in large time series
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Bayesian network data imputation with application to survival tree analysis
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Robust groupwise least angle regression
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Noise peeling methods to improve boosting algorithms
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Dempster's rule of combination
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On sliding mode control for networked control systems with semi-Markovian switching and random sensor delays
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A distributed ensemble approach for mining healthcare data under privacy constraints
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Fisher-regularized support vector machine
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An efficient algorithm for attribute-based subsequence matching
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Deep learning approach for active classification of electrocardiogram signals
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Efficient isometric multi-manifold learning based on the self-organizing method
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A hybrid approach with agent-based simulation and clustering for sociograms
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A Rough-Fuzzy approach for Support Vector Clustering
Fulltext Access 16 Pages 2016
Entropy-based discretization methods for ranking data
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Missing value imputation for the analysis of incomplete traffic accident data
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Random vector functional link network for short-term electricity load demand forecasting
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Quantitative function and algorithm for community detection in bipartite networks
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Reduced-order model approximation of fuzzy switched systems with pre-specified performance
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Estimation of low-rank covariance function
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Spatially adaptive covariance tapering
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Standard and robust intensity parameter estimation for stationary determinantal point processes
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Towards optimal Takacs-Fiksel estimation
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Statistical emulators for pricing and hedging longevity risk products
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Time-consistent actuarial valuations
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Stochastic loss reserving with dependence: A flexible multivariate Tweedie approach
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Exponential utility maximization for an insurer with time-inconsistent preferences
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On the asymptotic properties of the Bernstein estimator of the multivariate distribution function
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Cooperative coevolutionary differential evolution with improved augmented Lagrangian to solve constrained optimisation problems
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An intuitionistic fuzzy multiplicative best-worst method for multi-criteria group decision making
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Self-organizing anomaly detection in data streams
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On conditional prediction errors in mixed models with application to small area estimation
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On the computation of multivariate scenario sets for the skew-t and generalized hyperbolic families
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An exact approach to Bayesian sequential change point detection
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On selection of statistics for approximate Bayesian computing (or the method of simulated moments)
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A Bayesian method for simultaneous registration and clustering of functional observations
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Bayesian crossover designs for generalized linear models
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Sequentially Constrained Monte Carlo
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A dynamic model for age-specific fertility rates in Italy
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Super mediator - A new centrality measure of node importance for information diffusion over social network
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Spoiler detection in TV program tweets
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Nonnegative adaptive lasso for ultra-high dimensional regression models and a two-stage method applied in financial modeling
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A good approximation of the Gaussian likelihood of simultaneous autoregressive model which yields us an asymptotically efficient estimate of parameters
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Mixtures of stochastic differential equations with random effects: Application to data clustering
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Effect of bivariate data's correlation on sequential tests of circular error probability
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Solving integrated process planning and scheduling problem with constructive meta-heuristics
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Weighted high-order hidden Markov models for compound emotions recognition in text
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A fast algorithm for predicting links to nodes of interest
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Efficient parallel boolean matrix based algorithms for computing composite rough set approximations
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On the connection of hypergraph theory with formal concept analysis and rough set theory
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Regularized estimation for the least absolute relative error models with a diverging number of covariates
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Simultaneous mean and covariance estimation of partially linear models for longitudinal data with missing responses and covariate measurement error
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Parametrically guided nonparametric density and hazard estimation with censored data
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Latent profile analysis with nonnormal mixtures: A Monte Carlo examination of model selection using fit indices
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Fast local search methods for solving limited memory influence diagrams
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Multi-objective optimization method for learning thresholds in a decision-theoretic rough set model
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Pre-specified performance based model reduction for time-varying delay systems in fuzzy framework
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Intrinsic dimension estimation: Advances and open problems
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Social choice in distributed classification tasks: Dealing with vertically partitioned data
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Bayesian variable selection for finite mixture model of linear regressions
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Single seed delineation of brain tumor using multi-thresholding
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An outranking sorting method for multi-criteria group decision making using intuitionistic fuzzy sets
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Multi-objective optimisation for regression testing
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A model based on subjective linguistic preference relations for group decision making problems
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Sparse representation matching for person re-identification
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Routing scheme of a multi-state computer network employing a retransmission mechanism within a time threshold
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A lower bound for minimizing the total completion time of a three-agent scheduling problem
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A multi-cycled sequential memetic computing approach for constrained optimisation
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Effective lazy learning algorithm based on a data gravitation model for multi-label learning
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Unified improvements in estimation of a normal covariance matrix in high and low dimensions
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Self-similarity inspired local descriptor for non-rigid multi-modal image registration
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Effects of diffusion-thermo and thermo-diffusion on two-phase boundary layer flow past a stretching sheet with fluid-particle suspension and chemical reaction: A numerical study
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Common fixed point results for weakly compatible mappings under contractive conditions of integral type in complex valued metric spaces
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Sharp weighted bounds for multiple integral operators
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Some results on residual entropy of ranked set samples
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Analysis of transformation models with doubly truncated data
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Multivariate spline analysis for multiplicative models: Estimation, testing and application to climate change
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Higher order density approximations for solutions to estimating equations
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Extending mixtures of factor models using the restricted multivariate skew-normal distribution
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A competence-performance based model to develop a syntactic language for artificial agents
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Shrinkage-based diagonal Hotelling’s tests for high-dimensional small sample size data
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Simultaneous variable selection and de-coarsening in multi-path change-point models
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An angle-based multivariate functional pseudo-depth for shape outlier detection
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Set-valued and interval-valued stationary time series
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Skewed factor models using selection mechanisms
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On oracle property and asymptotic validity of Bayesian generalized method of moments
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Goodness of fit in restricted measurement error models
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Modeling and analysis of influence power for information security decisions
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Fast computation of large scale marginal extremes with multi-dimensional covariates
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