The following pages link to BayesDA (Q22960):
Displaying 50 items.
- Cointegration analysis of hazard rates and CDSs: applications to pairs trading strategy (Q2685101) (← links)
- Model selection for maternal hypertensive disorders with symmetric hierarchical Dirichlet processes (Q2686034) (← links)
- Bayesian non-homogeneous hidden Markov model with variable selection for investigating drivers of seizure risk cycling (Q2686035) (← links)
- Statistical inference via conditional Bayesian posteriors in high-dimensional linear regression (Q2689601) (← links)
- Bayesian estimation of Gegenbauer long memory processes with stochastic volatility: methods and applications (Q2691760) (← links)
- Parameter estimation with maximal updated densities (Q2693387) (← links)
- An integration by parts formula for functionals of the Dirichlet-ferguson measure, and applications (Q2697420) (← links)
- Improved marginal likelihood estimation via power posteriors and importance sampling (Q2697973) (← links)
- Bayesian multivariate Beveridge-Nelson decomposition of I(1) and I(2) series with cointegration (Q2700549) (← links)
- Randomize-then-optimize for sampling and uncertainty quantification in electrical impedance tomography (Q2801319) (← links)
- Statistical Inference on Three-Dimensional Structure of Genome by Truncated Poisson Architecture Model (Q2806340) (← links)
- On the brittleness of Bayesian inference (Q2808261) (← links)
- Bayesian Abel inversion in quantitative X-ray radiography (Q2810323) (← links)
- Statistical Challenges in BioSurveillance (Q2820314) (← links)
- Uncertainty Quantification in Chromatography Process Identification Based on Markov Chain Monte Carlo (Q2822760) (← links)
- Objective Bayesian analysis of spatial data with uncertain nugget and range parameters (Q2856543) (← links)
- Latent factor regression models for grouped outcomes (Q2861975) (← links)
- Bayesian data analysis. (Q2873072) (← links)
- AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models (Q2885472) (← links)
- A Bayes comparison of two different cancer therapies under the assumption of Weibull survival model or its subfamily (Q2917458) (← links)
- Bayesian Calibration of the Community Land Model Using Surrogates (Q2945145) (← links)
- Optimal Learning in Experimental Design Using the Knowledge Gradient Policy with Application to Characterizing Nanoemulsion Stability (Q2945155) (← links)
- (Q2958598) (← links)
- (Q3009407) (← links)
- (Q3009624) (← links)
- Double generalized linear model for tissue culture proportion data: a Bayesian perspective (Q3019504) (← links)
- Binomial Regression with Misclassification (Q3079168) (← links)
- (Q3098832) (← links)
- On the reliability of N-mixture models for count data (Q3119849) (← links)
- Moment Conditions and Bayesian Non-Parametrics (Q3120099) (← links)
- Polynomial Accelerated Solutions to a Large Gaussian Model for Imaging Biofilms: In Theory and Finite Precision (Q3121163) (← links)
- Tracking the Impact of Media on Voter Choice in Real Time: A Bayesian Dynamic Joint Model (Q3121169) (← links)
- Transport Map Accelerated Markov Chain Monte Carlo (Q3176240) (← links)
- Comparison of Statistical and Deterministic Frameworks of Uncertainty Quantification (Q3179311) (← links)
- A Framework for Multi-Model Ensembling (Q3179312) (← links)
- A Multiscale Strategy for Bayesian Inference Using Transport Maps (Q3179325) (← links)
- A Recursive Local Polynomial Approximation Method Using Dirichlet Clouds and Radial Basis Functions (Q3186111) (← links)
- A hierarchical Bayesian-MAP approach to inverse problems in imaging (Q3188783) (← links)
- A TV-Gaussian prior for infinite-dimensional Bayesian inverse problems and its numerical implementations (Q3188786) (← links)
- Multiple comparisons in genetic association studies: a hierarchical modeling approach (Q3191808) (← links)
- The Post-Disaster Debris Clearance Problem Under Incomplete Information (Q3195231) (← links)
- Official Statistics: an estimation strategy for the IT-era (Q3297919) (← links)
- Computing Robust Statistics via an EM Algorithm (Q3298048) (← links)
- Choosing the Summary Statistics and the Acceptance Rate in Approximate Bayesian Computation (Q3298445) (← links)
- Contributions to Bayesian Structural Equation Modeling (Q3298501) (← links)
- Identifying excessively rounded or truncated data (Q3298618) (← links)
- Estimating von Bertalanffy parameters with individual and environmental variations in growth (Q3304517) (← links)
- A Bayesian transition model for missing longitudinal binary outcomes and an application to a smoking cessation study (Q3386472) (← links)
- A Bayesian approach for some zero-modified Poisson mixture models (Q3386477) (← links)
- Estimating the Probability that a Function Observed with Noise Is Convex (Q3386772) (← links)
