Pages that link to "Item:Q4731973"

The following pages link to Fully Exponential Laplace Approximations to Expectations and Variances of Nonpositive Functions (Q4731973):

Displaying 50 items.

• Computation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effects (Q82357) (← links)
• Consistency of Bayes factors under hyper \(g\)-priors with growing model size (Q254923) (← links)
• The value of information for correlated GLMs (Q338400) (← links)
• Asymptotic properties of adaptive maximum likelihood estimators in latent variable models (Q396017) (← links)
• Bayesian estimation of a covariance matrix with flexible prior specification (Q421411) (← links)
• Estimation of generalized linear latent variable models via fully exponential Laplace approximation (Q450873) (← links)
• Inference for size demography from point pattern data using integral projection models (Q484721) (← links)
• Two noniterative algorithms for computing posteriors (Q626222) (← links)
• Nonlinear logistic discrimination via regularized radial basis functions for classifying high-dimensional data (Q730756) (← links)
• Comparison of MCMC methods for estimating stochastic volatility models (Q816059) (← links)
• Bayesian decoding of neural spike trains (Q904063) (← links)
• Laplace approximations to means and variances with asymptotic modes (Q1039475) (← links)
• A Bayesian approach to Weibull survival models -- application to a cancer clinical trial (Q1125992) (← links)
• Approximation of Bayesian posterior densities in the heteroskedastic error regression model (Q1192999) (← links)
• Geometric ergodicity of Gibbs and block Gibbs samplers for a hierarchical random effects model (Q1275427) (← links)
• Bayesian analysis of duration models: An application to Chapter 11 bankruptcy (Q1292340) (← links)
• On basicity of exponentials in \(L^ p(d\mu)\) and general prediction problems (Q1314902) (← links)
• Boundary-mode approximations for posterior expectations (Q1361755) (← links)
• Empirical Bayes estimation of several population means and variances under random sampling variances model (Q1600690) (← links)
• Inference on finite population categorical response: nonparametric regression-based predictive approach (Q1633228) (← links)
• Bayesian estimation of differential transcript usage from RNA-seq data (Q1670291) (← links)
• Forecasting seasonal time series data: a Bayesian model averaging approach (Q1729308) (← links)
• Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation (Q1790387) (← links)
• A Laplace method for under-determined Bayesian optimal experimental designs (Q1798603) (← links)
• Bootstrap estimation of uncertainty in prediction for generalized linear mixed models (Q1799868) (← links)
• Some new formulae for posterior expectations and Bartlett corrections (Q1875705) (← links)
• Notes on a recursive procedure for point estimation (Q1919729) (← links)
• Cox regression with missing covariate data using a modified partial likelihood method (Q2013305) (← links)
• Bayesian model inversion using stochastic spectral embedding (Q2131057) (← links)
• Multimodal information gain in Bayesian design of experiments (Q2135895) (← links)
• Objective Bayesian edge screening and structure selection for Ising networks (Q2141635) (← links)
• On the validity of the formal Edgeworth expansion for posterior densities (Q2215719) (← links)
• Estimation and prediction for spatial generalized linear mixed models using high order Laplace approximation (Q2276187) (← links)
• Fast Bayesian experimental design: Laplace-based importance sampling for the expected information gain (Q2310927) (← links)
• Approximations of the information matrix for a panel mixed logit model (Q2324029) (← links)
• Laplace approximation and natural gradient for Gaussian process regression with heteroscedastic Student-\(t\) model (Q2329797) (← links)
• Asymptotic expansion of the posterior based on pairwise likelihood (Q2364050) (← links)
• Convergence rate of MLE in generalized linear and nonlinear mixed-effects models: Theory and applications (Q2370461) (← links)
• Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference (Q2388330) (← links)
• Bounds for Bayesian order identification with application to mixtures (Q2426629) (← links)
• Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations (Q2449911) (← links)
• Prediction interval for disease mapping using hierarchical likelihood (Q2513337) (← links)
• Model selection in the presence of incidental parameters (Q2516318) (← links)
• Inferences for the Birnbaum-Saunders fatigue life model using Bayesian methods (Q2563658) (← links)
• Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty (Q2674073) (← links)
• Mixed effects models for recurrent events data with partially observed time-varying covariates: ecological momentary assessment of smoking (Q2805177) (← links)
• Fully exponential Laplace approximations for the joint modelling of survival and longitudinal data (Q2920260) (← links)
• Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations (with discussion) (Q2920273) (← links)
• Mixtures of<i><i>g</i></i>-Priors in Generalized Linear Models (Q3121572) (← links)
• Approximate marginal densities of independent parameters (Q3143482) (← links)