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.
- Dynamic response strategies: accounting for response process heterogeneity in irtree decision nodes (Q6198870) (← links)
- Adaptive tuning of Hamiltonian Monte Carlo within sequential Monte Carlo (Q6201421) (← links)
- Estimación bayesiana de un Modelo Garch-M Bivariado (Q6203167) (← links)
- The importance Markov chain (Q6204189) (← links)
- Adjoint Hamiltonian Monte Carlo algorithm for the estimation of elastic modulus through the inversion of elastic wave propagation data (Q6497705) (← links)
- Computing Bayes: from then `til now (Q6540226) (← links)
- Past, present and future of software for Bayesian inference (Q6540228) (← links)
- Emerging directions in Bayesian computation (Q6540230) (← links)
- Sampling algorithms in statistical physics: a guide for statistics and machine learning (Q6540237) (← links)
- Efficient inference of generalized spatial fusion models with flexible specification (Q6541490) (← links)
- A family of parsimonious mixtures of multivariate Poisson-lognormal distributions for clustering multivariate count data (Q6541610) (← links)
- Forecasting subnational COVID-19 mortality using a day-of-the-week adjusted Bayesian hierarchical model (Q6541722) (← links)
- A localized ensemble of approximate Gaussian processes for fast sequential emulation (Q6548820) (← links)
- Density regression and uncertainty quantification with Bayesian deep noise neural networks (Q6548857) (← links)
- On the dissipation of ideal Hamiltonian Monte Carlo sampler (Q6548889) (← links)
- A Hamiltonian Monte Carlo EM algorithm for generalized linear mixed models with spatial skew latent variables (Q6549174) (← links)
- Bayesian modelling of exponentiated Weibull generated family for interval-censored data with rstan (Q6549386) (← links)
- Bayesian analysis for single-server Markovian queues based on the No-U-Turn sampler (Q6552970) (← links)
- Identifiability and estimability of Bayesian linear and nonlinear crossed random effects models (Q6559934) (← links)
- Learning to solve Bayesian inverse problems: an amortized variational inference approach using Gaussian and flow guides (Q6560691) (← links)
- An information field theory approach to Bayesian state and parameter estimation in dynamical systems (Q6560717) (← links)
- Gibbs sampling the posterior of neural networks (Q6561781) (← links)
- On efficient posterior inference in normalized power prior Bayesian analysis (Q6563674) (← links)
- A multinomial generalized linear mixed model for clustered competing risks data (Q6567455) (← links)
- Variational Bayes for Fast and Accurate Empirical Likelihood Inference (Q6567904) (← links)
- Bayesian Conditional Transformation Models (Q6567930) (← links)
- Bayesian cross-validation by parallel Markov chain Monte Carlo (Q6570349) (← links)
- A monotone single index model for missing-at-random longitudinal proportion data (Q6571992) (← links)
- Certified coordinate selection for high-dimensional Bayesian inversion with Laplace prior (Q6581669) (← links)
- Predictability and Financial Sufficiency of Health Insurance in Colombia: An Actuarial Analysis With a Bayesian Approach (Q6583007) (← links)
- Solving Bayesian inverse problems with expensive likelihoods using constrained Gaussian processes and active learning (Q6594408) (← links)
- RT-MPTs: process models for response-time distributions with diffusion-model kernels (Q6595392) (← links)
- Bayesian regularization: from Tikhonov to horseshoe (Q6600373) (← links)
- Cauchy and other shrinkage priors for logistic regression in the presence of separation (Q6600380) (← links)
- hIPPYlib-MUQ: a Bayesian inference software framework for integration of data with complex predictive models under uncertainty (Q6601373) (← links)
- Bayesian and frequentist testing for differences between two groups with parametric and nonparametric two-sample tests (Q6602130) (← links)
- Accelerating MCMC algorithms (Q6602205) (← links)
- Learning variational autoencoders via MCMC speed measures (Q6606966) (← links)
- Probabilistic contrastive dimension reduction for case-control study data (Q6616363) (← links)
- Semiparametric modeling of SARS-CoV-2 transmission using tests, cases, deaths, and seroprevalence data (Q6616383) (← links)
- Bayesian sparse vector autoregressive switching models with application to human gesture phase segmentation (Q6616401) (← links)
- Bayesian inference using Hamiltonian Monte-Carlo algorithm for nonlinear joint modeling in the context of cancer immunotherapy (Q6617433) (← links)
- Multivariate functional mixed model with MRI data: an application to Alzheimer's disease (Q6617508) (← links)
- A Bayesian approach to study design and analysis with type I error rate control for response variables of mixed types (Q6617531) (← links)
- Revisiting fishery sustainability targets (Q6617652) (← links)
- Exploring Encouragement, Treatment, and Spillover Effects Using Principal Stratification, With Application to a Field Experiment on Teens’ Museum Attendance (Q6617750) (← links)
- Bayesian transition models for ordinal longitudinal outcomes (Q6618362) (← links)
- Inference under superspreading: determinants of SARS-CoV-2 transmission in Germany (Q6618486) (← links)
- A Bayesian approach for individual-level drug benefit-risk assessment (Q6624672) (← links)
- Bayesian functional emulation of CO\(_2\) emissions on future climate change scenarios (Q6626629) (← links)
