The following pages link to Statistical Modelling (Q61733):
Displaying 50 items.
- Non-parametric regression for compositional data (Q4971409) (← links)
- Bayesian-multiplicative treatment of count zeros in compositional data sets (Q4971410) (← links)
- Sparse principal balances (Q4971411) (← links)
- Tools for compositional data with a total (Q4971412) (← links)
- Regression with compositional response having unobserved components or below detection limit values (Q4971413) (← links)
- Guest Editorial (Q4971414) (← links)
- Dirichlet Lasso: A Bayesian approach to variable selection (Q4971415) (← links)
- Two Cholesky-log-GARCH models for multivariate volatilities (Q4971416) (← links)
- Cox regression models with functional covariates for survival data (Q4971417) (← links)
- The functional linear array model (Q4971418) (← links)
- Context-specific graphical models for discrete longitudinal data (Q4971419) (← links)
- Bayesian bivariate quantile regression (Q4971420) (← links)
- Eliciting prior distributions for extra parameters in some generalized linear models (Q4971421) (← links)
- Longitudinal mixed-effects models for latent cognitive function (Q4971422) (← links)
- Selection and Fusion of Categorical Predictors with L0-Type Penalties (Q4971423) (← links)
- Analyzing bivariate ordinal data with CUB margins (Q4971424) (← links)
- Expectile and quantile regression—David and Goliath? (Q4971425) (← links)
- Modelling volatility using a non-homogeneous martingale model for processes with constant mean on count data (Q4971426) (← links)
- The Altham–Poisson distribution (Q4971428) (← links)
- Emulating global climate change impacts on crop yields (Q4971433) (← links)
- Subject-specific Bradley–Terry–Luce models with implicit variable selection (Q4971434) (← links)
- Managing nonignorable missing data with clustered multinomial responses (Q4971436) (← links)
- Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood (Q4971437) (← links)
- Thinning-based models in the analysis of integer-valued time series: a review (Q4971438) (← links)
- Validating predictors of therapeutic success: A causal inference approach (Q4971439) (← links)
- Robust regression for highly corrupted response by shifting outliers (Q4971442) (← links)
- Sparse Bayesian modelling of underreported count data (Q4971444) (← links)
- Statistical modelling of gained university credits to evaluate the role of pre-enrolment assessment tests: An approach based on quantile regression for counts (Q4971445) (← links)
- Functional linear mixed models for irregularly or sparsely sampled data (Q4971448) (← links)
- Editorial (Q4971449) (← links)
- Using a latent variable model with non-constant factor loadings to examine PM<sub>2.5</sub> constituents related to secondary inorganic aerosols (Q4971451) (← links)
- Longitudinal functional models with structured penalties (Q4971453) (← links)
- Generalized multiple indicators, multiple causes measurement error models (Q4971454) (← links)
- Random scaling factors in Bayesian distributional regression models with an application to real estate data (Q4971511) (← links)
- A penalized approach to covariate selection through quantile regression coefficient models (Q4971512) (← links)
- Spatio-temporal expectile regression models (Q4971513) (← links)
- Generalizing rate heterogeneity across sites in statistical phylogenetics (Q4971515) (← links)
- A general framework for prediction in penalized regression (Q5006011) (← links)
- Bayesian joint analysis using a semiparametric latent variable model with non-ignorable missing covariates for CHNS data (Q5006012) (← links)
- Multiple scaled contaminated normal distribution and its application in clustering (Q5006013) (← links)
- Vertex Exchange Method for non-parametric estimation of mixing distributions in logistic mixed models (Q5006015) (← links)
- Corrigendum to Bayesian modelling of nonlinear negative binomial integer-valued GARCHX models (Q5006016) (← links)
- Boosting functional response models for location, scale and shape with an application to bacterial competition (Q5070481) (← links)
- Bayesian analysis of Turkish Income and Living Conditions data, using clustered longitudinal ordinal modelling with Bridge distributed random effects (Q5070482) (← links)
- Multiple smoothing parameters selection in additive regression quantiles (Q5070484) (← links)
- Predicting match outcomes in association football using team ratings and player ratings (Q5070485) (← links)
- Corrigendum to Poisson–Tweedie mixed-effects model: A flexible approach for the analysis of longitudinal RNA-seq data (Q5070487) (← links)
- Streamlined variational inference for higher level group-specific curve models (Q5070488) (← links)
- Poisson–Tweedie mixed-effects model: A flexible approach for the analysis of longitudinal RNA-seq data (Q5070489) (← links)
- Quantile foliation for modelling performance across body mass and age in Olympic weightlifting (Q5070490) (← links)
