The following pages link to (Q4807438):
Displaying 50 items.
- Likelihood analysis of the multivariate ordinal probit regression model for repeated ordinal responses (Q1023685) (← links)
- On Bayesian estimation and model comparison of an integrated structural equation model (Q1023842) (← links)
- A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data (Q1036139) (← links)
- Analysis of multivariate skew normal models with incomplete data (Q1036799) (← links)
- Variational Bayesian identification and prediction of stochastic nonlinear dynamic causal models (Q1038446) (← links)
- A Bayesian analysis of human decision-making on bandit problems (Q1042313) (← links)
- A naïve sticky information model of households' inflation expectations (Q1042358) (← links)
- A truncated probit item response model for estimating psychophysical thresholds (Q1048647) (← links)
- Contaminated variance-mean mixing model (Q1615117) (← links)
- Multivariate zero-inflated modeling with latent predictors: modeling feedback behavior (Q1615161) (← links)
- A cluster analysis of vote transitions (Q1615244) (← links)
- Bayesian space-time modeling of malaria incidence in Sucre state, Venezuela: spatial special issue (Q1621233) (← links)
- Simulation-based Bayesian inference for epidemic models (Q1621323) (← links)
- Bayesian variable selection for correlated covariates via colored cliques (Q1621667) (← links)
- Adjusted regularization of cortical covariance (Q1628355) (← links)
- Parameter estimation and sensitivity analysis in an agent-based model of \textit{Leishmania major} infection (Q1629043) (← links)
- Multiple imputation in practice -- a case study using a complex German establishment survey (Q1633218) (← links)
- Bayesian estimation of ordinary differential equation models when the likelihood has multiple local modes (Q1637514) (← links)
- RT-MPTs: process models for response-time distributions based on multinomial processing trees with applications to recognition memory (Q1645047) (← links)
- Monte Carlo methods (Q1655965) (← links)
- Functional regression approximate Bayesian computation for Gaussian process density estimation (Q1658999) (← links)
- Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models (Q1659480) (← links)
- A Bayesian hierarchical model for estimating and partitioning Bernstein polynomial density functions (Q1663310) (← links)
- Bayesian inference of a multivariate regression model (Q1667376) (← links)
- A hierarchical Bayes ensemble Kalman filter (Q1686738) (← links)
- Is there variation across individuals in processing? Bayesian analysis for systems factorial technology (Q1690598) (← links)
- Itô-SDE MCMC method for Bayesian characterization of errors associated with data limitations in stochastic expansion methods for uncertainty quantification (Q1695336) (← links)
- Dealing with reflection invariance in Bayesian factor analysis (Q1695626) (← links)
- Bayesian Plackett-Luce mixture models for partially ranked data (Q1695638) (← links)
- Fast state-space methods for inferring dendritic synaptic connectivity (Q1704795) (← links)
- A hidden Markov model for decoding and the analysis of replay in spike trains (Q1705043) (← links)
- Asymmetrical over-infection as a process of plant virus emergence (Q1720087) (← links)
- Quantification of the impact of priors in Bayesian statistics via Stein's method (Q1726875) (← links)
- A locally adaptive process-convolution model for estimating the health impact of air pollution (Q1728671) (← links)
- A default prior distribution for contingency tables with dependent factor levels (Q1731163) (← links)
- Partially linear censored regression models using heavy-tailed distributions: a Bayesian approach (Q1731194) (← links)
- Complex-valued Bayesian parameter estimation via Markov chain Monte Carlo (Q1750426) (← links)
- Computational discovery of gene regulatory binding motifs: a Bayesian perspective (Q1766324) (← links)
- Refined knowledge-gradient policy for learning probabilities (Q1785627) (← links)
- Classical and Bayesian estimation of reliability in a multicomponent stress-strength model based on a general class of inverse exponentiated distributions (Q1785822) (← links)
- A tutorial on joint models of neural and behavioral measures of cognition (Q1795307) (← links)
- A Bayesian approach to the spatial representation of market structure from consumer choice data (Q1806808) (← links)
- Smoothing and mixed models (Q1887218) (← links)
- Estimating discrete Markov models from various incomplete data schemes (Q1927036) (← links)
- Truth and memory: linking instantaneous and retrospective self-reported cigarette consumption (Q1940014) (← links)
- A hyperparameter consensus method for agreement under uncertainty (Q1941262) (← links)
- Sensitivity analysis of predictive modeling for responses from the three-parameter Weibull model with a follow-up doubly censored sample of cancer patients (Q1942889) (← links)
- Identifiability of causal effects on a binary outcome within principal strata (Q1946960) (← links)
- Incorporating external information in analyses of clinical trials with binary outcomes (Q1951537) (← links)
- Optimal properties of some Bayesian inferences (Q1951800) (← links)
