The following pages link to BayesDA (Q22960):
Displaying 50 items.
- Bayesian design of experiments for intractable likelihood models using coupled auxiliary models and multivariate emulation (Q2297233) (← links)
- Adaptive Bayesian nonparametric regression using a kernel mixture of polynomials with application to partial linear models (Q2297237) (← links)
- Nonlocal TV-Gaussian prior for Bayesian inverse problems with applications to limited CT reconstruction (Q2297903) (← links)
- A current perspective on wound healing and tumour-induced angiogenesis (Q2299339) (← links)
- Sampling from manifold-restricted distributions using tangent bundle projections (Q2302511) (← links)
- False confidence, non-additive beliefs, and valid statistical inference (Q2302767) (← links)
- Vertex nomination: the canonical sampling and the extended spectral nomination schemes (Q2305315) (← links)
- Bayesian detection of clusters in efficiency score maps: an application to Brazilian energy regulation (Q2307256) (← links)
- Quantile regression-based Bayesian joint modeling analysis of longitudinal-survival data, with application to an AIDS cohort study (Q2308441) (← links)
- Bayesian identification of the tendon fascicle's structural composition using finite element models for helical geometries (Q2308773) (← links)
- Bayesian system identification based on hierarchical sparse Bayesian learning and Gibbs sampling with application to structural damage assessment (Q2309095) (← links)
- Bayesian updating with subset simulation using artificial neural networks (Q2309810) (← links)
- Asynchronous space-time domain decomposition method with localized uncertainty quantification (Q2310024) (← links)
- A two-stage ensemble Kalman filter based on multiscale model reduction for inverse problems in time fractional diffusion-wave equations (Q2312116) (← links)
- Dating and localizing an invasion from post-introduction data and a coupled reaction-diffusion-absorption model (Q2313967) (← links)
- Particle diffusion Monte Carlo (PDMC) (Q2315352) (← links)
- Detecting edges from non-uniform Fourier data via sparse Bayesian learning (Q2316239) (← links)
- Assessment of vague and noninformative priors for Bayesian estimation of the realized random effects in random-effects meta-analysis (Q2316715) (← links)
- Varying levels of anomie in Europe: a multilevel analysis based on multidimensional IRT models (Q2316751) (← links)
- Low information omnibus (LIO) priors for Dirichlet process mixture models (Q2316979) (← links)
- Model criticism in latent space (Q2316980) (← links)
- High-dimensional confounding adjustment using continuous Spike and Slab priors (Q2316985) (← links)
- Bayesian linear size-and-shape regression with applications to face data (Q2316995) (← links)
- A nonparametric Bayesian methodology for regression discontinuity designs (Q2317304) (← links)
- A probabilistic evaluation framework for preference aggregation reflecting group homogeneity (Q2317999) (← links)
- Hamiltonian Monte Carlo based on evidence framework for Bayesian learning to neural network (Q2318269) (← links)
- L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications (Q2318624) (← links)
- Phylogeny-based tumor subclone identification using a Bayesian feature allocation model (Q2318681) (← links)
- Automatic Bayes factors for testing equality- and inequality-constrained hypotheses on variances (Q2318818) (← links)
- Bayesian model-based clustering for longitudinal ordinal data (Q2319476) (← links)
- Robust Bayesian seemingly unrelated regression model (Q2319484) (← links)
- Simulation of daily rainfall scenarios with interannual and multidecadal climate cycles for South Florida (Q2319549) (← links)
- A Bayesian approach to bandwidth selection in univariate associate kernel estimation (Q2320807) (← links)
- Bayesian multiple imputation for assay data subject to measurement error (Q2320832) (← links)
- On the use of Bayesian model averaging for covariate selection in epidemiological modeling (Q2320835) (← links)
- Out-of-sample fusion in risk prediction (Q2320921) (← links)
- Unsupervised human activity analysis for intelligent mobile robots (Q2321282) (← links)
- Optimizing group learning: an evolutionary computing approach (Q2321327) (← links)
- Bayesian approach to bandwidth selection for multivariate count regression function estimation by associated discrete kernel (Q2321797) (← links)
- A new straightforward defective distribution for survival analysis in the presence of a cure fraction (Q2321834) (← links)
- Bayesian estimation of intensity-duration-frequency curves and of the return period associated to a given rainfall event (Q2323550) (← links)
- A free boundary model of epithelial dynamics (Q2328232) (← links)
- A Bayesian conjugate gradient method (with discussion) (Q2329364) (← links)
- Bayesian nonparametric spectral density estimation using B-spline priors (Q2329750) (← links)
- Model selection via marginal likelihood estimation by combining thermodynamic integration and gradient matching (Q2329805) (← links)
- Inference for ETAS models with non-Poissonian mainshock arrival times (Q2329808) (← links)
- On confidence interval estimation of normal percentiles (Q2329864) (← links)
- Item response and response time model for personality assessment via linear ballistic accumulation (Q2329884) (← links)
- Bayesian inference on power Lindley distribution based on different loss functions (Q2330493) (← links)
- A simple method for comparing complex models: Bayesian model comparison for hierarchical multinomial processing tree models using Warp-III bridge sampling (Q2331157) (← links)
