The following pages link to Bayesian Analysis (Q61838):
Displaying 50 items.
- Semi-parametric Bayesian inference for multi-season baseball data (Q2634520) (← links)
- Bayesian dynamic density estimation (Q2634521) (← links)
- Bayesian nonparametrics for heavy tailed distribution. Application to food risk assessment (Q2634522) (← links)
- Bayesian forecasting of prepayment rates for individual pools of mortgages (Q2634523) (← links)
- On some difficulties with a posterior probability approximation technique (Q2634524) (← links)
- Objections to Bayesian statistics (Q2634525) (← links)
- Comment on article by Gelman (Q2634526) (← links)
- Rejoinder: ``Objections to Bayesian statistics'' (Q2634527) (← links)
- Model-based analysis of concept maps (Q2634529) (← links)
- Bayesian inference for shape mixtures of skewed distributions, with application to regression analysis (Q2634530) (← links)
- Bayesian methods for categorical data under informative censoring (Q2634531) (← links)
- Application of Girsanov theorem to particle filtering of discretely observed continuous-time non-linear systems (Q2634532) (← links)
- Bayesian variable selection and computation for generalized linear models with conjugate priors (Q2634533) (← links)
- Exact distribution theory for belief net responses (Q2634534) (← links)
- Combining multiple maps of line features to infer true position (Q2634537) (← links)
- EM versus Markov chain Monte Carlo for estimation of hidden Markov models: a computational perspective (Q2634538) (← links)
- Comment on article by Rydén (Q2634539) (← links)
- Rejoinder: ``EM versus Markov chain Monte Carlo for estimation of hidden Markov models: a computational perspective'' (Q2634540) (← links)
- Model-based inferences from adaptive cluster sampling (Q2634542) (← links)
- Bayesian estimation of the basic reproduction number in stochastic epidemic models (Q2634543) (← links)
- Spatial dynamic factor analysis (Q2634544) (← links)
- Compressing parameters in Bayesian high-order models with application to logistic sequence models (Q2634545) (← links)
- Computational methods for parameter estimation in climate models (Q2634548) (← links)
- Bayesian inference for the MAPK/ERK pathway by considering the dependency of the kinetic parameters (Q2634549) (← links)
- Error analysis for small angle neutron scattering datasets using Bayesian inference (Q2635189) (← links)
- Comment on article by Hogg et al. (Q2635190) (← links)
- Rejoinder: ``Error analysis for small angle neutron scattering datasets using Bayesian inference'' (Q2635191) (← links)
- Default priors for density estimation with mixture models (Q2635192) (← links)
- Hierarchical Bayesian analysis of the seemingly unrelated regression and simultaneous equations models using a combination of direct Monte Carlo and importance sampling techniques (Q2635193) (← links)
- Analyzing spatial point patterns subject to measurement error (Q2635194) (← links)
- Bayesian functional ANOVA modeling using Gaussian process prior distributions (Q2635195) (← links)
- The Bayesian elastic net (Q2635196) (← links)
- Inference with normal-gamma prior distributions in regression problems (Q2635197) (← links)
- A Bayesian image analysis of radiation induced changes in tumor vascular permeability (Q2635198) (← links)
- \textit{The search for certainty}: a critical assessment. Book review of: K. Burdzy, The search for certainty (Q2635199) (← links)
- Comment on article by Robert (Q2635200) (← links)
- A general purpose sampling algorithm for continuous distributions (the t-walk) (Q2635203) (← links)
- Desiderata for a predictive theory of statistics (Q2635204) (← links)
- Bayesian density regression with logistic Gaussian process and subspace projection (Q2635205) (← links)
- Penalized regression, standard errors, and Bayesian Lassos (Q2635207) (← links)
- Measuring statistical significance for full Bayesian methods in microarray analyses (Q2635208) (← links)
- Selection sampling from large data sets for targeted inference in mixture modeling (Q2635209) (← links)
- Comment on article by Manolopoulou et al. (Q2635210) (← links)
- Rejoinder: ``Selection sampling from large data sets for targeted inference in mixture modeling'' (Q2635211) (← links)
- Model selection and adaptive Markov chain Monte Carlo for Bayesian cointegrated VAR models (Q2635212) (← links)
- Sensitivity analysis and model selection for a generalized convolution model for spatial processes (Q2635213) (← links)
- Correspondence analysis with incomplete paired data using Bayesian imputation (Q2635215) (← links)
- Bayesian regularized quantile regression (Q2635216) (← links)
- Predicting vertical connectivity within an aquifer system (Q2635218) (← links)
- Evolutionary stochastic search for Bayesian model exploration (Q2635220) (← links)
