The following pages link to Bayesian data analysis. (Q2873072):
Displaying 50 items.
- Integration of multiple genomic data sources in a Bayesian Cox model for variable selection and prediction (Q1664505) (← links)
- A new kernel-based approach to system identification with quantized output data (Q1679846) (← links)
- Bayesian inference for multistate `step and turn' animal movement in continuous time (Q1680360) (← links)
- A Bayesian interpretation of the confusion matrix (Q1688723) (← links)
- Comparative study and sensitivity analysis of skewed spatial processes (Q1695505) (← links)
- Bayesian estimation of generalized gamma shared frailty model (Q1695521) (← links)
- Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction (Q1698858) (← links)
- An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions (Q1702013) (← links)
- Using perturbed underdamped Langevin dynamics to efficiently sample from probability distributions (Q1703077) (← links)
- Unbiased Bayesian inference for population Markov jump processes via random truncations (Q1703815) (← links)
- Approximate Bayesian inference in semi-mechanistic models (Q1703816) (← links)
- Modified Cholesky Riemann manifold Hamiltonian Monte Carlo: exploiting sparsity for fast sampling of high-dimensional targets (Q1704017) (← links)
- False positive and false negative effects on network attacks (Q1706315) (← links)
- Regularizing portfolio risk analysis: a Bayesian approach (Q1707049) (← links)
- Bayesian classification of multiclass functional data (Q1711597) (← links)
- Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics (Q1727860) (← links)
- Prediction with a flexible finite mixture-of-regressions (Q1727867) (← links)
- How often does the best team win? A unified approach to understanding randomness in North American sport (Q1728667) (← links)
- Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data (Q1741291) (← links)
- Bayesian spectral modeling for multivariate spatial distributions of elemental concentrations in soil (Q1752000) (← links)
- Dirichlet process mixture models for modeling and generating synthetic versions of nested categorical data (Q1752012) (← links)
- Linearized forms of individual-level models for large-scale spatial infectious disease systems (Q1758103) (← links)
- The interplay of Bayesian and frequentist analysis (Q1766315) (← links)
- Analysis of variance -- why it is more important than ever. (With discussions and rejoinder) (Q1781151) (← links)
- Assessment of uncertainties in hot-wire anemometry and oil-film interferometry measurements for wall-bounded turbulent flows (Q1784584) (← links)
- Simulated method for reliability evaluation of multi-state coherent system (Q1787795) (← links)
- On Russian roulette estimates for Bayesian inference with doubly-intractable likelihoods (Q1790298) (← links)
- Mitigating bias in generalized linear mixed models: the case for Bayesian nonparametrics (Q1790317) (← links)
- Penalising model component complexity: a principled, practical approach to constructing priors (Q1790379) (← links)
- How principled and practical are penalised complexity priors? (Q1790382) (← links)
- Multiple imputation: a review of practical and theoretical findings (Q1799338) (← links)
- Causal inference: a missing data perspective (Q1799347) (← links)
- A comparative study of pricing approaches for longevity instruments (Q1799642) (← links)
- Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods. (Q1848769) (← links)
- Spatial-temporal nonlinear filtering based on hierarchical statistical models (Q1874750) (← links)
- Variable selection in linear mixed effects models (Q1940766) (← links)
- Efficient algorithms for generating truncated multivariate normal distributions (Q1942149) (← links)
- A survey of Bayesian predictive methods for model assessment, selection and comparison (Q1951655) (← links)
- A Metropolis-Hastings based method for sampling from the \(G\)-Wishart distribution in Gaussian graphical models (Q1952170) (← links)
- Bayesian ordinal and binary regression models with a parametric family of mixture links (Q1960472) (← links)
- Approximate Bayesian computational methods for the inference of unknown parameters (Q2001254) (← links)
- Markov chain Monte Carlo sampling using a reservoir method (Q2002718) (← links)
- Bayesian inference for the negative binomial-Sushila linear model (Q2003101) (← 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)
- The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions (Q2022037) (← 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)
- Development of a tissue augmented Bayesian model for expression quantitative trait loci analysis (Q2045662) (← links)
