Pages that link to "Item:Q3842836"
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The following pages link to Markov chain Monte Carlo for dynamic generalised linear models (Q3842836):
Displaying 50 items.
- Local partial-likelihood estimation for lifetime data (Q123405) (← links)
- On dynamic generalized linear models with applications (Q352906) (← links)
- A statistical approach to the inverse problem in magnetoencephalography (Q400666) (← links)
- Direct fitting of dynamic models using integrated nested Laplace approximations -- INLA (Q434960) (← links)
- A spatio-temporal dynamic regression model for extreme wind speeds (Q488093) (← links)
- The HESSIAN method: highly efficient simulation smoothing, in a nutshell (Q527930) (← links)
- A general science-based framework for dynamical spatio-temporal models (Q619127) (← links)
- On computational aspects of Bayesian spatial models: influence of the neighboring structure in the efficiency of MCMC algorithms (Q638046) (← links)
- A Bayesian approach for inferring neuronal connectivity from calcium fluorescent imaging data (Q641075) (← links)
- Time dependent origin-destination estimation from traffic count without prior information (Q836008) (← links)
- State space mixed models for longitudinal observations with binary and binomial responses (Q840936) (← links)
- Covariance matrix and transfer function of dynamic generalized linear models (Q898983) (← links)
- Generalized spatial dynamic factor models (Q901501) (← links)
- Time series of count data: Modeling, estimation and diagnostics (Q1010577) (← links)
- Auxiliary mixture sampling with applications to logistic models (Q1019983) (← links)
- Bayesian analysis of multivariate nominal measures using multivariate multinomial probit models (Q1023707) (← links)
- Hyperparameter estimation in forecast models. (Q1285504) (← links)
- Bayesian dynamic probit models for the analysis of longitudinal data (Q1615165) (← links)
- Sequential Monte Carlo smoothing with parameter estimation (Q1631601) (← links)
- Extended dynamic generalized linear models: the two-parameter exponential family (Q1662186) (← links)
- Efficient particle smoothing for Bayesian inference in dynamic survival models (Q2135903) (← links)
- Modeling intensive polytomous time-series eye-tracking data: a dynamic tree-based item response model (Q2195817) (← links)
- Assessing dynamic effects on a Bayesian matrix-variate dynamic linear model: an application to task-based fMRI data analysis (Q2242164) (← links)
- An efficient sampling scheme for dynamic generalized models (Q2259221) (← links)
- Spatiotemporal point processes: regression, model specifications and future directions (Q2330482) (← links)
- An application of a two-level non-Gaussian state-space model in the analysis of longitudinal papilloma count data (Q2489572) (← links)
- A class of parametric dynamic survival models (Q2576819) (← links)
- Following a moving target -- Monte Carlo inference for dynamic Bayesian models (Q2729278) (← links)
- Approximate Bayesian Estimation for Multivariate Count Time Series Models (Q2806333) (← links)
- A semiparametrically efficient estimator of the time-varying effects for survival data with time-dependent treatment (Q2821471) (← links)
- Parallel tempering for dynamic generalized linear models (Q2832630) (← links)
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations (with discussion) (Q2920273) (← links)
- Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains (Q3070781) (← links)
- Practical Filtering with Sequential Parameter Learning (Q3541271) (← links)
- (Q4259411) (← links)
- BAYESIAN ANALYSIS OF ECONOMETRIC TIME SERIES MODELS USING HYBRID INTEGRATION RULES (Q4540704) (← links)
- Exact Bayesian Inference in Spatiotemporal Cox Processes Driven by Multivariate Gaussian Processes (Q4603818) (← links)
- Multi‐stage multivariate modeling of temporal patterns in prescription counts for competing drugs in a therapeutic category (Q4620239) (← links)
- Assessing the Impact of a Movement Network on the Spatiotemporal Spread of Infectious Diseases (Q4649048) (← links)
- Approximating Hidden Gaussian Markov Random Fields (Q4670799) (← links)
- Transfer functions in dynamic generalized linear models (Q4970563) (← links)
- Modelling zero-inflated spatio-temporal processes (Q4970902) (← links)
- An additive Cox model for coronary heart disease study (Q5035743) (← links)
- A scalable quasi-Newton estimation algorithm for dynamic generalised linear models (Q5051332) (← links)
- Dynamic Bayesian adjustment of anticipatory covariates in retrospective data: application to the effect of education on divorce risk (Q5073405) (← links)
- Ensemble Kalman Methods for High-Dimensional Hierarchical Dynamic Space-Time Models (Q5130628) (← links)
- Bayesian Dynamic Dirichlet Models (Q5252867) (← links)
- A NON‐GAUSSIAN FAMILY OF STATE‐SPACE MODELS WITH EXACT MARGINAL LIKELIHOOD (Q5408111) (← links)
- Non-linear Markov Chain Monte Carlo (Q5427540) (← links)
- Bayesian Modelling of Outstanding Liabilities Incorporating Claim Count Uncertainty (Q5715848) (← links)
