The following pages link to Jo Eidsvik (Q321471):
Displaying 24 items.
- A fused Lasso approach to nonstationary spatial covariance estimation (Q321472) (← links)
- The value of information for correlated GLMs (Q338400) (← links)
- Approximate Bayesian inference for large spatial datasets using predictive process models (Q434887) (← links)
- Efficient designs for Bayesian networks with sub-tree bounds (Q518229) (← links)
- A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration (Q765981) (← links)
- Iterative numerical methods for sampling from high dimensional Gaussian distributions (Q892432) (← links)
- Parameter estimation in high dimensional Gaussian distributions (Q892469) (← links)
- Approximate Bayesian inference in spatial GLMM with skew normal latent variables (Q901561) (← links)
- Kalman filter variants in the closed skew normal setting (Q1623467) (← links)
- Information gathering in Bayesian networks applied to petroleum prospecting (Q1789173) (← links)
- Value of information of time-lapse seismic data by simulation-regression: comparison with double-loop Monte Carlo (Q2009835) (← links)
- Batch seismic inversion using the iterative ensemble Kalman smoother (Q2027186) (← links)
- Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling (Q2245134) (← links)
- The value of information in spatial decision making (Q2268361) (← links)
- Dynamic decision making for graphical models applied to oil exploration (Q2356038) (← links)
- Simulation-regression approximations for value of information analysis of geophysical data (Q2399811) (← links)
- Estimation of geological attributes from a well log: an application of hidden Markov chains (Q2457853) (← links)
- A skewed unscented Kalman filter (Q2979577) (← links)
- (Q3552947) (← links)
- On the Use of Local Optimizations within Metropolis–Hastings Updates (Q4665855) (← links)
- The Value of Information in Portfolio Problems with Dependent Projects (Q4691972) (← links)
- Efficient spatial designs using Hausdorff distances and Bayesian optimization (Q5043792) (← links)
- Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models -- with an application to benthic habitat mapping (Q6111519) (← links)
- Using an autonomous underwater vehicle with onboard stochastic advection-diffusion models to map excursion sets of environmental variables (Q6626416) (← links)
