The following pages link to BayesDA (Q22960):
Displaying 50 items.
- Bayesian ordinal and binary regression models with a parametric family of mixture links (Q1960472) (← links)
- Signal confidence limits from a neural network data analysis (Q1967215) (← links)
- Bayesian sensitivity analysis in elliptical linear regression models (Q1973324) (← links)
- Bayesian model selection and model averaging (Q1977906) (← links)
- Bayesian model selection in the \(\mathcal{M}\)-open setting -- approximate posterior inference and subsampling for efficient large-scale leave-one-out cross-validation via the difference estimator (Q1981162) (← links)
- A Bayesian inference for the penalized spline joint models of longitudinal and time-to-event data: a prior sensitivity analysis (Q1985373) (← links)
- Bayesian modeling of inconsistent plastic response due to material variability (Q1988100) (← links)
- Machine learning in cardiovascular flows modeling: predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks (Q1989082) (← links)
- Behavioral modeling in weight loss interventions (Q1991236) (← links)
- Considering sample means in Rinott's procedure with a Bayesian approach (Q1991285) (← links)
- Approximate Bayesian computational methods for the inference of unknown parameters (Q2001254) (← links)
- A full Bayesian approach to generalized maximum likelihood estimation of generalized extreme value distribution (Q2002033) (← links)
- Markov chain Monte Carlo sampling using a reservoir method (Q2002718) (← links)
- Bayesian inference for the negative binomial-Sushila linear model (Q2003101) (← links)
- Estimation of generalized Gompertz distribution parameters under ranked-set sampling (Q2004268) (← links)
- The general theory of the quasi-reproducible experiments: how to describe the measured data of complex systems? (Q2004814) (← links)
- A dynamic hierarchical Bayesian model for the estimation of day-to-day origin-destination flows in transportation networks (Q2005933) (← links)
- Comparing coefficients across subpopulations in Gaussian mixture regression models (Q2009127) (← links)
- A mixture model approach for compositional data: inferring land-use influence on point-referenced water quality measurements (Q2009146) (← links)
- Early screening of ovarian cancer (Q2013046) (← links)
- Bayesian estimation of the functional spatial lag model (Q2019878) (← links)
- What do we hear from a drum? A data-consistent approach to quantifying irreducible uncertainty on model inputs by extracting information from correlated model output data (Q2020254) (← links)
- Optimal Bayesian experimental design for electrical impedance tomography in medical imaging (Q2020795) (← links)
- The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions (Q2022037) (← links)
- A Bayesian robust chi-squared test for testing simple hypotheses (Q2024459) (← links)
- Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation (Q2030733) (← links)
- A variational approximations-DIC rubric for parameter estimation and mixture model selection within a family setting (Q2038212) (← links)
- Size estimation of key populations in the HIV epidemic in eSwatini using incomplete and misaligned capture-recapture data (Q2044248) (← links)
- Fully Bayesian analysis of allele-specific RNA-seq data (Q2045566) (← links)
- Development of a tissue augmented Bayesian model for expression quantitative trait loci analysis (Q2045662) (← links)
- A review of uncertainty quantification for density estimation (Q2048457) (← links)
- Adaptive covariate acquisition for minimizing total cost of classification (Q2051306) (← links)
- Max-and-smooth: a two-step approach for approximate Bayesian inference in latent Gaussian models (Q2057335) (← links)
- Recycling intermediate steps to improve Hamiltonian Monte Carlo (Q2057341) (← links)
- Intuitive joint priors for variance parameters (Q2057345) (← links)
- Calibrating expert assessments using hierarchical Gaussian process models (Q2057359) (← links)
- Bayesian random projection-based signal detection for Gaussian scale space random fields (Q2058557) (← links)
- Joint Bayesian estimation of voxel activation and inter-regional connectivity in fMRI experiments (Q2065243) (← links)
- Variational Bayes inference algorithm for the saturated diagnostic classification model (Q2065256) (← links)
- Zero-and-one-inflated Poisson regression model (Q2066530) (← links)
- Updating variational Bayes: fast sequential posterior inference (Q2066743) (← links)
- A data-driven model of the role of energy in sepsis (Q2068719) (← links)
- An attention-based diffusion model for psychometric analyses (Q2073741) (← links)
- A Bayesian generalized explanatory item response model to account for learning during the test (Q2073745) (← links)
- Inverse parameter estimation to predict material parameters of the Cowper-Symonds constitutive equation in electrohydraulic forming process (Q2074241) (← links)
- Truncated simulation and inference in edge-exchangeable networks (Q2074285) (← links)
- Revisiting the Gelman-Rubin diagnostic (Q2075706) (← links)
- A latent space model for multilayer network data (Q2076127) (← links)
- Correcting for sample selection bias in Bayesian distributional regression models (Q2076142) (← links)
- A Bayesian hierarchical score for structure learning from related data sets (Q2076986) (← links)
