Keywords: Bayes theory; Binary classification; Parametric linear discriminant; Accuracy criterion; Minimax probability machine; 62C10; 62C20; 62H30; 68T05;
مقالات ISI (ترجمه نشده)
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Keywords: primary; 62C10; secondary; 62G07; Autoregressive species sampling models; Dependent random probability measures; Mixture models; Temporal structured data;
Keywords: 62J05; 62C10; Heredity principle; Interaction; Shotgun stochastic search; Strong heredity; Variable selection;
Keywords: primary; 62C10; secondary; 62J05; Consistency; Generalized ridge estimators; High-dimensional statistics; Modified information criteria; Modified model selection criteria; Multivariate linear regression;
Keywords: primary; 62C10; secondary; 60G15; Expert; Probability forecast; Gaussian process; Judgmental forecasting;
Keywords: 62H12; 62C10; 62F15Decomposable graphical models; Multivariate closed skew normal distribution; Conditional independence; Noninformative prior
Keywords: primary; 62C10; 62F30; secondary; 62C12; 62H12; Hierarchical prior; Inadmissibility; Orthogonal invariance; Random effect model; Restricted parameter space; Statistical decision theory; Uniform prior; Wishart distribution;
Keywords: 62C10; 62C20Stein’s identity; pp-variate normal distribution; Stokes’ theorem; Integration by slices; Minimax estimation
Keywords: 62C10; 62F15; 62F10Pitman closeness; Predictive density; Point estimation; Bayes; Superharmonic prior; Stein prior
Second order optimal approximation in a particular exponential family under asymmetric LINEX loss
Keywords: primary; 62L12; secondary; 62C10; Asymptotically non-deficient; Asymptotically optimal; Asymptotically pointwise optimal; LINEX loss function;
Proper Bayes and minimax predictive densities related to estimation of a normal mean matrix
Keywords: primary; 62C15; 62C20; secondary; 62C10; Admissibility; Gauss' divergence theorem; Generalized Bayes estimator; Inadmissibility; Kullback-Leibler loss; Minimaxity; Shrinkage estimator; Statistical decision theory;
Asymptotic equivalence between the default Bayes factors and the ordinary Bayes factors with intrinsic priors
Keywords: primary; 62C10; secondary; 62F15; Asymptotic equivalence; Fractional Bayes factor; Intrinsic Bayes factor; Intrinsic prior; Model selection;
Capturing the severity of type II errors in high-dimensional multiple testing
Keywords: 62J15; 62C10; 62F03Bayes rule; Compound decision theory; Oracle procedure; Multiple testing; Weighted marginal false discovery rate; Weighted marginal false non-discovery rate
Copula based factorization in Bayesian multivariate infinite mixture models
Keywords: 62C10; 62G07; 65C40; 62H99Nonparametric copula; Nonparametric consistency; Mixture modeling
A Bayesian decision theoretic approach to directional multiple hypotheses problems
Keywords: 62C10; 62H15Directional alternatives; False discovery rate; Microarray data analysis; MicroRNA; Multiple hypotheses
Posterior contraction rates for the Bayesian approach to linear ill-posed inverse problems
Keywords: 62G20; 62C10; 35R30; 45Q05Posterior consistency; Posterior contraction; Gaussian prior; Posterior distribution; Inverse problems
Nonparametric Bayes classification and hypothesis testing on manifolds
Keywords: 62C10; 62F15; 62G10; 62G20Bayes factor; Classification; Dirichlet process mixture; Flexible prior; Hypothesis testing; Non-Euclidean manifold; Nonparametric Bayes; Posterior consistency; Spherical data
Robust Bayesian prediction and estimation under a squared log error loss function
Keywords: 62C10; 62F10; 62F15; 62M20Class of priors; Gamma distribution; Robust Bayesian prediction; Sensitivity analysis; Squared log error loss function
On the optimal amount of experimentation in sequential decision problems
Keywords: 62C10; 60G99; 93E35
Random partition models with regression on covariates
Keywords: Clustering; Non-parametric Bayes; Product partition model62G08; 62C10; 60G57
Selecting the best geometric distribution based on type-I censored data: a Bayesian approach
Keywords: Bayes selection rule; Best population; Early selection rule; Life testing; Type-I censoring62F07; 62C10
Nonadaptive group testing with lies: Probabilistic existence theorems
Keywords: Probabilistic method; Existence theorems; Group testing; Significant factors; Multiaccess channel; Searching with lies; 62C10; 90Cxx; 28Dxx;
On Bayes estimators with uniform priors on spheres and their comparative performance with maximum likelihood estimators for estimating bounded multivariate normal means
Keywords: 62F10; 62F15; 62F30; 62C10; 62H12Restricted parameters; Point estimation; Squared error loss; Dominance; Maximum likelihood; Bayes estimators; Multivariate normal; Unbiased estimate of risk; Sign changes; Modified Bessel functions
Bayesian decision theoretic approach to hypothesis problems with skewed alternatives
Keywords: Multiple hypotheses; Microarray; Type-III error; FDR; Directional alternatives; Primary; 62C10; Secondary; 62F03; 62P10;
The multivariate Behrens–Fisher distribution
Keywords: 60E05; 62C10; 62F15; 65C05Multivariate Behrens–Fisher distribution; Convolution; Mixture; H.P.D. regions; Monte Carlo methods; Frequentist coverage
A class of neutral to the right priors induced by superposition of beta processes
Keywords: Bayesian nonparametrics; Beta process; Beta-Stacy process; Completely random measures; Neutral to the right priors; Survival analysis; 62C10; 62G57;
Second order minimax estimation of the mean
Keywords: Babel class; Exponential dispersion model; Euler's equation; Hinde-Demétrio class; Natural exponential family; Variance function; Variance functions regular at zero and infinity; Second order minimax estimator; Sturm-Liouville system; 62C10; 62F10; 6
Locally most powerful sequential tests of a simple hypothesis vs. one-sided alternatives
Keywords: Dependent observations; Discrete-time stochastic process; Optimal sequential test; Sequential analysis; Sequential hypothesis testing; Locally most powerful test62L10; 62L15; 60G40; 62C10
The net Bayes premium with dependence between the risk profiles
Keywords: 62C10; 62P05; Bayes; Collective risk model; Dependence; Net premium; Risk profile;
An admissibility proof using an adaptive sequence of smoother proper priors approaching the target improper prior
Keywords: 62C15; 62C10; Admissibility; Spherically symmetric distribution; Harmonic prior; Regularly varying function;
Asymptotically pointwise optimal allocation rules in Bayes sequential estimation
Keywords: primary; 62L12; secondary; 62C10;
Entropy bounds on Bayesian learning
Keywords: 62C10; 62B10; 91A26; Bayesian learning; Repeated decision problem; Value of information; Entropy;
Controlling Bayes directional false discovery rate in random effects model
Keywords: primary; 62J15; 62F03; secondary; 62F15; 62C10; 62C12; Multiple hypotheses testing; Directional decisions; Bayesian decision theory; False discovery rate;
Factor stochastic volatility with time varying loadings and Markov switching regimes
Keywords: 62C10; 62P20; 62F40; 91B70; 91B82Bayesian inference; Factor analysis; Variance decomposition; Dynamic models; Markov switching
Evaluation of multilevel decision trees
Keywords: 62C10; Decision analysis; Hierarchical Bayes; Nested computation;
Simulation-based sequential Bayesian design
Keywords: 62C10; 62K05; 62L05; 62L15Backward induction; Forward simulation; Monte Carlo simulation; Optimal design; Sequential decision
Uniform L1 posterior consistency in compact Gaussian shift experiments
Keywords: Primary; 62F15; 62F12; secondary; 62C25; 62C10; 60B10; Consistency; GC subset; Hyperprior; Isonormal process; Mixture; Prior; Product experiment; Posterior; Topological support; Weak convergence;
On estimation with weighted balanced-type loss function
Keywords: 62C10; 62C15; 62C20; 62F10; 62F30Balanced loss function; Admissibility; Bayes estimator; Minimax estimation; Constrained parameter space
Minimax estimation of a bounded parameter of a discrete distribution
Keywords: 62C10; 62F10; 62F30; 60E99Minimax estimation; Restricted parameter space; Discrete distributions; Squared error loss
Assessing post-data weight of evidence
Keywords: Primary 62F03; 62F35; Secondary 62F15; 62C10; p-Values; Bayes estimates; Conjugate priors; Robust Bayesian analysis; Bayes-classical conflict;
Exponential dispersion models: Second-order minimax estimation of the mean for unknown dispersion parameter
Keywords: 62C10; 62F10; 62F12; Exponential dispersion model; Generalized Bayes estimator; Natural exponential family; Second-order minimaxity; Variance function; Tweedie class;
Bayesian wavelet analysis of autoregressive fractionally integrated moving-average processes
Keywords: 62C10; 62F15; 42C40; 65T60; 60G18ARFIMA processes; Bayesian inference; Wavelets
The Wiener disorder problem with finite horizon
Keywords: primary; 60G40; 35R35; 45G10; secondary; 62C10; 62L15; 62M20Disorder problem; Wiener process; Optimal stopping; Finite horizon; Parabolic free-boundary problem; A nonlinear Volterra integral equation of the second kind; Curved boundary; A change-of-variab
Bayesian and frequentist estimation and prediction for exponential distributions
Keywords: Primary 62F15; Secondary 62A15; 62C10; 62F25Bayes estimate; Decision theory; Loss function; Maximum likelihood estimate; Predictive probability; Second-order asymptotics
Sequential testing of simple hypotheses about compound Poisson processes
Keywords: primary; 62L10; secondary; 62L15; 62C10; 60G40Sequential hypothesis testing; Sequential analysis; Compound Poisson processes; Optimal stopping
Bayesian model selection: a predictive approach with losses based on distances L1 and L2
Keywords: 62F15; 62C10; Posterior predictive density; Posterior expected loss; L1 distance; L2 distance; Bayesian model selection; Variable selection;
On improving on the minimum risk equivariant estimator of a scale parameter under a lower-bound constraint
Keywords: 62C10; 62C99; 62F10; 62F30; Lower-bounded parameter; Scale family; Constrained parameter space; Minimax estimation; Minimum risk equivariant estimator; Dominating estimators;
Adaptive paired comparison design
Keywords: 62C10; Bayesian optimal design; Bradley-Terry model; Competition; Swiss system; Tournament schedule;
Asymptotics in Bayesian decision theory with applications to global robustness
Keywords: 62F15; 62C10; Bayesian robustness; Class of loss functions; Class of priors; Asymptotic rate of convergence; Misspecified models;
Extensions of the conjugate prior through the Kullback-Leibler separators
Keywords: 62C10; 62H10; Duality; Estimation of a mean vector; Kullback-Leibler separator; Loss function; Reproductive exponential family;