Pages that link to "Item:Q123703"
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The following pages link to The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo (Q123703):
Displaying 50 items.
- A spatial mixed-effects regression model for electoral data (Q2059109) (← links)
- Emulation-accelerated Hamiltonian Monte Carlo algorithms for parameter estimation and uncertainty quantification in differential equation models (Q2066738) (← links)
- Korali: efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization (Q2072427) (← links)
- A Bayesian generalized explanatory item response model to account for learning during the test (Q2073745) (← links)
- Bayesian inference for zero-and/or-one augmented beta rectangular regression models (Q2077432) (← links)
- Spatial voting models in circular spaces: a case study of the U.S. House of Representatives (Q2078307) (← links)
- Full Bayesian inference in hidden Markov models of plant growth (Q2080750) (← links)
- Solution of physics-based Bayesian inverse problems with deep generative priors (Q2083099) (← links)
- On outliers detection and prior distribution sensitivity in standard skew-probit regression models (Q2083419) (← links)
- Split Hamiltonian Monte Carlo revisited (Q2084320) (← links)
- Profitability of momentum strategies: empirical evidence from Vietnam (Q2086251) (← links)
- Robust sparse Bayesian infinite factor models (Q2095775) (← links)
- Automatic zig-zag sampling in practice (Q2103992) (← links)
- Estimation methods for stationary Gegenbauer processes (Q2110339) (← links)
- Rank-normalization, folding, and localization: an improved \(\widehat{R}\) for assessing convergence of MCMC (with Discussion) (Q2111117) (← links)
- Fundamental tools for developing likelihood functions within ACT-R (Q2116079) (← links)
- HMC: reducing the number of rejections by not using leapfrog and some results on the acceptance rate (Q2124354) (← links)
- Fast Bayesian inversion for high dimensional inverse problems (Q2128074) (← links)
- Cauchy Markov random field priors for Bayesian inversion (Q2128078) (← links)
- Learning functional priors and posteriors from data and physics (Q2135824) (← links)
- A Bayesian algorithm based on auxiliary variables for estimating GRM with non-ignorable missing data (Q2135926) (← links)
- Robust beta regression modeling with errors-in-variables: a Bayesian approach and numerical applications (Q2151693) (← links)
- Bayesian inverse reinforcement learning for collective animal movement (Q2154196) (← links)
- Couplings for Andersen dynamics (Q2155520) (← links)
- Variational inference with NoFAS: normalizing flow with adaptive surrogate for computationally expensive models (Q2162034) (← links)
- Bayesian nonparametric quantile mixed-effects models via regularization using Gaussian process priors (Q2166038) (← links)
- Bayesian functional registration of fMRI activation maps (Q2170423) (← links)
- Structured hierarchical models for probabilistic inference from perturbation screening data (Q2170453) (← links)
- Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models (Q2179219) (← links)
- Estimating and forecasting the smoking-attributable mortality fraction for both genders jointly in over 60 countries (Q2179973) (← links)
- Non-linear failure rate: a Bayes study using Hamiltonian Monte Carlo simulation (Q2191253) (← links)
- Applying kriging proxies for Markov chain Monte Carlo in reservoir simulation (Q2192848) (← links)
- Correctness of automatic differentiation via diffeologies and categorical gluing (Q2200831) (← links)
- Markov chain Monte Carlo algorithms with sequential proposals (Q2209708) (← links)
- A dyadic IRT model (Q2220551) (← links)
- The reproduction number of COVID-19 and its correlation with public health interventions (Q2221723) (← links)
- Is it safe to lift COVID-19 travel bans? The Newfoundland story (Q2221733) (← links)
- Approximate Bayesian model inversion for PDEs with heterogeneous and state-dependent coefficients (Q2222341) (← links)
- Large-scale inference of correlation among mixed-type biological traits with phylogenetic multivariate probit models (Q2233162) (← links)
- Informed reversible jump algorithms (Q2233560) (← links)
- COVID-19 dynamics across the US: a deep learning study of human mobility and social behavior (Q2237292) (← links)
- Efficient Bayesian inference of general Gaussian models on large phylogenetic trees (Q2245176) (← links)
- Versatile sequential sampling algorithm using kernel density estimation (Q2301957) (← links)
- Modified Hamiltonian Monte Carlo for Bayesian inference (Q2302498) (← links)
- Extending Bayesian back-calculation to estimate age and time specific HIV incidence (Q2305800) (← links)
- Multi-stage splitting integrators for sampling with modified Hamiltonian Monte Carlo methods (Q2311667) (← links)
- Subsampling MCMC -- an introduction for the survey statistician (Q2316968) (← links)
- Approximate large-scale Bayesian spatial modeling with application to quantitative magnetic resonance imaging (Q2324328) (← links)
- On the geometric ergodicity of Hamiltonian Monte Carlo (Q2325354) (← links)
- GPU-accelerated Gibbs sampling: a case study of the horseshoe probit model (Q2329768) (← links)
