The following pages link to Mike West (Q239820):
Displaying 50 items.
- Sequential Monte Carlo with adaptive weights for approximate Bayesian computation (Q273582) (← links)
- (Q449860) (redirect page) (← links)
- The use of unlabeled data in predictive modeling (Q449861) (← links)
- Spatially varying SAR models and Bayesian inference for high-resolution lattice data (Q457258) (← links)
- (Q516443) (redirect page) (← links)
- GPU-accelerated Bayesian learning and forecasting in simultaneous graphical dynamic linear models (Q516444) (← links)
- (Q589301) (redirect page) (← links)
- Bayesian forecasting and dynamic models. (Q676677) (← links)
- Bayesian Weibull tree models for survival analysis of clinico-genomic data (Q713835) (← links)
- An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling (Q965136) (← links)
- Of mice and men: sparse statistical modeling in cardiovascular genomics (Q995738) (← links)
- Inference in successive sampling discovery models (Q1126473) (← links)
- Bayesian forecasting and dynamic models (Q1188579) (← links)
- Dynamics \& sparsity in latent threshold factor models: a study in multivariate EEG signal processing (Q1705542) (← links)
- Dynamic Bayesian predictive synthesis in time series forecasting (Q1740347) (← links)
- Bayesian emulation for multi-step optimization in decision problems (Q1757667) (← links)
- Sparse graphical models for exploring gene expression data (Q1877000) (← links)
- Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions (Q2304234) (← links)
- Reply to discussion of ``Bayesian forecasting of multivariate time series: scalability, structure uncertainty and decisions'' (Q2304236) (← links)
- Variable prioritization in nonlinear black box methods: a genetic association case study (Q2318669) (← links)
- Experiments in stochastic computation for high-dimensional graphical models (Q2381758) (← links)
- Data augmentation in multi-way contingency tables with fixed marginal totals (Q2581887) (← links)
- Selection sampling from large data sets for targeted inference in mixture modeling (Q2635209) (← links)
- Rejoinder: ``Selection sampling from large data sets for targeted inference in mixture modeling'' (Q2635211) (← links)
- Bayesian inference on periodicities and component spectral structure in time series (Q2703242) (← links)
- (Q2753033) (← links)
- Bayesian time-varying autoregressions: Theory, methods and applications. (Q2766503) (← links)
- A Bayesian analysis strategy for cross-study translation of gene expression biomarkers (Q2864051) (← links)
- Bayesian learning in sparse graphical factor models via variational mean-field annealing (Q2896103) (← links)
- Models of Random Sparse Eigenmatrices and Bayesian Analysis of Multivariate Structure (Q2956746) (← links)
- (Q3084272) (← links)
- Bayesian Inference in Cyclical Component Dynamic Linear Models (Q3128746) (← links)
- Kernel density estimation and marginalization consistency (Q3359584) (← links)
- (Q3484159) (← links)
- Covariance decomposition in undirected Gaussian graphical models (Q3545403) (← links)
- (Q3558525) (← links)
- Bayesian analysis of matrix normal graphical models (Q3653100) (← links)
- (Q3683340) (← links)
- Dynamic Generalized Linear Models and Bayesian Forecasting (Q3684997) (← links)
- Bayesian Aggregation (Q3703089) (← links)
- (Q3723526) (← links)
- On scale mixtures of normal distributions (Q3793503) (← links)
- Monitoring and Adaptation in Bayesian Forecasting Models (Q3793585) (← links)
- (Q3823636) (← links)
- REFERENCE ANALYSIS OF THE DYNAMIC LINEAR MODEL (Q3823700) (← links)
- Bayesian curve fitting using multivariate normal mixtures (Q3837338) (← links)
- Dynamic linear model diagnostics (Q4020619) (← links)
- A Bayesian method for classification and discrimination (Q4036394) (← links)
- (Q4203560) (← links)
- Bayesian Inference on Network Traffic Using Link Count Data (Q4216950) (← links)
