The following pages link to BayesDA (Q22960):
Displaying 50 items.
- Modified Cholesky Riemann manifold Hamiltonian Monte Carlo: exploiting sparsity for fast sampling of high-dimensional targets (Q1704017) (← links)
- Risk stratification in compartmental epidemic models: where to draw the line? (Q1704216) (← links)
- Fast inference in generalized linear models via expected log-likelihoods (Q1704759) (← links)
- Fast state-space methods for inferring dendritic synaptic connectivity (Q1704795) (← links)
- A hidden Markov model for decoding and the analysis of replay in spike trains (Q1705043) (← links)
- False positive and false negative effects on network attacks (Q1706315) (← links)
- Estimation of reliability in a multicomponent stress-strength model based on a bivariate Kumaraswamy distribution (Q1706475) (← links)
- Regularizing portfolio risk analysis: a Bayesian approach (Q1707049) (← links)
- Small population bias and sampling effects in stochastic mortality modelling (Q1707555) (← links)
- Bayesian classification of multiclass functional data (Q1711597) (← links)
- A Bayesian statistical analysis of stochastic phenotypic plasticity model of cancer cells (Q1714152) (← links)
- Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics (Q1714421) (← links)
- Estimation of parameters in mean-reverting stochastic systems (Q1718116) (← links)
- Asymmetrical over-infection as a process of plant virus emergence (Q1720087) (← links)
- Efficient belief propagation in second-order Bayesian networks for singly-connected graphs (Q1726384) (← links)
- Quantification of the impact of priors in Bayesian statistics via Stein's method (Q1726875) (← 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)
- A locally adaptive process-convolution model for estimating the health impact of air pollution (Q1728671) (← links)
- A default prior distribution for contingency tables with dependent factor levels (Q1731163) (← links)
- Partially linear censored regression models using heavy-tailed distributions: a Bayesian approach (Q1731194) (← links)
- Synthesizing categorical datasets to enhance inference (Q1731264) (← links)
- Estimating across-trial variability parameters of the diffusion decision model: expert advice and recommendations (Q1736012) (← links)
- Accounting for estimation uncertainty and shrinkage in Bayesian within-subject intervals: a comment on Nathoo, Kilshaw, and Masson (2018) (Q1736022) (← links)
- Some new results for the transmuted generalized gamma distribution (Q1736363) (← links)
- Bayesian inference and prediction of a multiple-change-point panel model with nonparametric priors (Q1740349) (← links)
- Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data (Q1741291) (← links)
- Complex-valued Bayesian parameter estimation via Markov chain Monte Carlo (Q1750426) (← links)
- On the Bayesian interpretation of Black-Litterman (Q1751675) (← 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)
- Computational discovery of gene regulatory binding motifs: a Bayesian perspective (Q1766324) (← links)
- Significance tests for multi-component estimands from multiply imputed, synthetic microdata (Q1772679) (← links)
- Automated rejection sampling from product of distributions (Q1775961) (← links)
- Analysis of variance -- why it is more important than ever. (With discussions and rejoinder) (Q1781151) (← links)
- The exchangeable multinomial model as an approach to testing deterministic axioms of choice and measurement (Q1781606) (← links)
- Bayesian non-parametric approaches to reconstructing oscillatory systems and the Nyquist limit (Q1782875) (← links)
- Of bits and wows: a Bayesian theory of surprise with applications to attention (Q1784575) (← links)
- Assessment of uncertainties in hot-wire anemometry and oil-film interferometry measurements for wall-bounded turbulent flows (Q1784584) (← links)
- Refined knowledge-gradient policy for learning probabilities (Q1785627) (← links)
- Classical and Bayesian estimation of reliability in a multicomponent stress-strength model based on a general class of inverse exponentiated distributions (Q1785822) (← links)
- Bayesian inference for health inequality and welfare using qualitative data (Q1787237) (← links)
- Simulated method for reliability evaluation of multi-state coherent system (Q1787795) (← links)
- Likelihood robust optimization for data-driven problems (Q1789597) (← links)
- A tutorial on joint models of neural and behavioral measures of cognition (Q1795307) (← links)
- Grain-size based additivity models for scaling multi-rate uranyl surface complexation in subsurface sediments (Q1798701) (← links)
- Multiple imputation: a review of practical and theoretical findings (Q1799338) (← links)
