The following pages link to MASS (R) (Q16653):
Displaying 50 items.
- Nonparametric estimation of the conditional tail index and extreme quantiles under random censoring (Q1623653) (← links)
- Adjusted regularization of cortical covariance (Q1628355) (← links)
- A general method for robust Bayesian modeling (Q1631602) (← links)
- Functional data analysis in shape analysis (Q1658331) (← links)
- Classification trees for poverty mapping (Q1658373) (← links)
- Simultaneous confidence intervals for comparisons of several multinomial samples (Q1658504) (← links)
- Data-driven algorithms for dimension reduction in causal inference (Q1658547) (← links)
- Bayesian estimation of the tail index of a heavy tailed distribution under random censoring (Q1658734) (← links)
- Robust regression estimation and inference in the presence of cellwise and casewise contamination (Q1659174) (← links)
- A triplot for multiclass classification visualisation (Q1660130) (← links)
- Mixtures of spatial spline regressions for clustering and classification (Q1660190) (← links)
- A globally convergent algorithm for Lasso-penalized mixture of linear regression models (Q1662084) (← links)
- Probabilistic slope stability analysis by a copula-based sampling method (Q1663445) (← links)
- Independent component analysis for tensor-valued data (Q1679572) (← links)
- A regression model for overdispersed data without too many zeros (Q1685216) (← links)
- A flexible distribution class for count data (Q1690087) (← links)
- Modeling threshold interaction effects through the logistic classification trunk (Q1695093) (← links)
- Modelling the role of variables in model-based cluster analysis (Q1702292) (← links)
- Instance spaces for machine learning classification (Q1707470) (← links)
- Linear regression with sparsely permuted data (Q1711600) (← links)
- Environmental monitoring and peat assessment using multivariate analysis of regional-scale geochemical data (Q1719871) (← links)
- Default priors for the intercept parameter in logistic regressions (Q1727911) (← links)
- Initial robust estimation in generalized linear models (Q1727928) (← links)
- Using Fisher scoring to fit extended Poisson process models (Q1775972) (← links)
- Evolutionarily distinctive species often capture more phylogenetic diversity than expected (Q1794355) (← links)
- Generalized linear models with clustered data: fixed and random effects models (Q1942893) (← links)
- Small area estimation via M-quantile geographically weighted regression (Q1944364) (← links)
- Generalised linear mixed model analysis via sequential Monte Carlo sampling (Q1951779) (← links)
- Semiparametric regression during 2003--2007 (Q1952023) (← links)
- Spatial logistic regression and change-of-support in Poisson point processes (Q1952095) (← links)
- New distance measures for classifying X-ray astronomy data into stellar classes (Q1999459) (← links)
- M-based simultaneous inference for the mean function of functional data (Q2000741) (← links)
- Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions (Q2009044) (← links)
- Discriminant analysis for compositional data incorporating cell-wise uncertainties (Q2022098) (← links)
- Local robust estimation of Pareto-type tails with random right censoring (Q2023827) (← links)
- On the use of saddlepoint approximations in high dimensional inference (Q2023843) (← links)
- Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains (Q2028883) (← links)
- The cognitive ability and working memory framework: interpreting cognitive reflection test results in the domain of the cognitive experiential theory (Q2033322) (← links)
- Isotonic boosting classification rules (Q2036157) (← links)
- A variational approximations-DIC rubric for parameter estimation and mixture model selection within a family setting (Q2038212) (← links)
- Seasonal adjustment of daily time series (Q2046063) (← links)
- A Dirichlet process mixture model for non-ignorable dropout (Q2057350) (← links)
- Transition models for count data: a flexible alternative to fixed distribution models (Q2066708) (← links)
- An explicit split point procedure in model-based trees allowing for a quick fitting of GLM trees and GLM forests (Q2066746) (← links)
- A survey of statistical learning techniques as applied to inexpensive pediatric obstructive sleep apnea data (Q2072600) (← links)
- Large-sample properties of unsupervised estimation of the linear discriminant using projection pursuit (Q2074341) (← links)
- Adaptive log-density estimation (Q2131904) (← links)
- A statistical model of neural network learning via the Cramer-Rao lower bound (Q2132021) (← links)
- Reduced multidimensional scaling (Q2135844) (← links)
- A new algorithm for fitting semi-parametric variance regression models (Q2135905) (← links)
