Pages that link to "Item:Q3995193"

The following pages link to Fundamentals of statistical exponential families with applications in statistical decision theory (Q3995193):

Displaying 50 items.

• Exponential-family random graph models for valued networks (Q107263) (← links)
• Skewness-kurtosis adjusted confidence estimators and significance tests (Q268391) (← links)
• Natural gradient flow in the mixture geometry of a discrete exponential family (Q296335) (← links)
• Information geometry formalism for the spatially homogeneous Boltzmann equation (Q296337) (← links)
• On the Fisher metric of conditional probability polytopes (Q296470) (← links)
• Multivariate normal \(\alpha\)-stable exponential families (Q327378) (← links)
• Asymptotics of score test in the generalized \(\beta\)-model for networks (Q334024) (← links)
• Expectation propagation for nonlinear inverse problems -- with an application to electrical impedance tomography (Q348728) (← links)
• Consistency under sampling of exponential random graph models (Q355086) (← links)
• Maximum likelihood estimation in the \(\beta\)-model (Q366958) (← links)
• Likelihood decision functions (Q391837) (← links)
• A unified minimax result for restricted parameter spaces (Q418243) (← links)
• A model of prior ignorance for inferences in the one-parameter exponential family (Q419320) (← links)
• Stochastic global optimization as a filtering problem (Q423021) (← links)
• Decomposition of Kullback-Leibler risk and unbiasedness for parameter-free estimators (Q434565) (← links)
• The log-linear group-lasso estimator and its asymptotic properties (Q442085) (← links)
• Kullback-Leibler aggregation and misspecified generalized linear models (Q447818) (← links)
• Maximum likelihood estimation in log-linear models (Q447845) (← links)
• Geometry of maximum likelihood estimation in Gaussian graphical models (Q450030) (← links)
• Efficient distributed sensing using adaptive censoring-based inference (Q458853) (← links)
• Hunting for significance: Bayesian classifiers under a mixture loss function (Q460651) (← links)
• Asymptotic normality in the maximum entropy models on graphs with an increasing number of parameters (Q476218) (← links)
• Circular unitary ensembles: parametric models and their asymptotic maximum likelihood estimates (Q503997) (← links)
• The polytope of \(k\)-star densities (Q510308) (← links)
• On the number of non-zero elements of joint degree vectors (Q521382) (← links)
• An autoregressive approach to house price modeling (Q542458) (← links)
• Asymptotically optimal tests for parametric functions against ordered functional alternatives (Q558053) (← links)
• Consistency of Bayes estimators without the assumption that the model is correct (Q607191) (← links)
• A decision-theoretical view of default priors (Q618897) (← links)
• Bayesian hybrid generative discriminative learning based on finite Liouville mixture models (Q632614) (← links)
• Probability distributions with summary graph structure (Q638759) (← links)
• Random graphs with a given degree sequence (Q640061) (← links)
• A sequential Monte Carlo approach to computing tail probabilities in stochastic models (Q657700) (← links)
• Unbiased Bayes estimates and improper priors (Q688351) (← links)
• Using entropy distance measures for testing odds ratio parameters under logistic regression models based on case-control data (Q713777) (← links)
• Fourth order pseudo maximum likelihood methods (Q737907) (← links)
• Limits of Bayes estimators in convex, truncated parameter spaces (Q758021) (← links)
• A conversation with Larry Brown (Q819965) (← links)
• Confidence distribution for the ability parameter of the Rasch model (Q823863) (← links)
• Large-scale estimation of random graph models with local dependence (Q830532) (← links)
• Minimax estimation of a restricted mean for a one-parameter exponential family (Q830686) (← links)
• The Stein phenomenon for monotone incomplete multivariate normal data (Q847421) (← links)
• On the approximation of convex functions with cumulant generating functions (Q857103) (← links)
• Optimal adaptive estimation of a quadratic functional (Q869971) (← links)
• Stochastic complexities of general mixture models in variational Bayesian learning (Q872400) (← links)
• Maximum likelihood estimators uniformly minimize distribution variance among distribution unbiased estimators in exponential families (Q888476) (← links)
• Information space conditions for the first-order approach in agency problems (Q893411) (← links)
• Gibbs sampling, exponential families and orthogonal polynomials (Q900452) (← links)
• Weak convergence and the exponential rate of concentration for posterior density functions (Q916255) (← links)
• Admissible predictive density estimation (Q930650) (← links)