The following pages link to published in (P200):
Displaying 50 items.
- Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risk Data: With Applications to Massive Biobank Data (Q61500) (← links)
- Globally intensity-reweighted estimators for $K$- and pair correlation functions (Q61516) (← links)
- HTRX: an R package for learning non-contiguous haplotypes associated with a phenotype (Q61520) (← links)
- A topological system for delineation and codification of the Earth’s river basins (Q61526) (← links)
- mirt: A Multidimensional Item Response Theory Package for theREnvironment (Q61531) (← links)
- Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Tone Learning in Adults (Q61545) (← links)
- A New Scalable Bayesian Network Learning Algorithm with Applications to Economics (Q61562) (← links)
- The FEDHC Bayesian Network Learning Algorithm (Q61564) (← links)
- Phenotype risk scores identify patients with unrecognized Mendelian disease patterns (Q61630) (← links)
- Estimating regression models with unknown break-points (Q61729) (← links)
- Testing with a nuisance parameter present only under the alternative: a score-based approach with application to segmented modelling (Q61731) (← links)
- Interval estimation for the breakpoint in segmented regression: a smoothed score-based approach (Q61732) (← links)
- Segmented mixed models with random changepoints: a maximum likelihood approach with application to treatment for depression study (Q61738) (← links)
- Source Partitioning Using Stable Isotopes: Coping with Too Much Variation (Q61749) (← links)
- Bayesian stable isotope mixing models (Q61757) (← links)
- Interpretable sparse SIR for functional data (Q61772) (← links)
- Semiparametric estimation of INAR models using roughness penalization (Q61785) (← links)
- Efficient Estimation of Auto-Regression Parameters and Innovation Distributions for Semiparametric Integer-Valued AR(p) Models (Q61789) (← links)
- Bootstrapping INAR models (Q61791) (← links)
- Shape-Restricted Regression Splines with R Package splines2 (Q61796) (← links)
- Improving an old way to measure moderation effect in standardized units. (Q61817) (← links)
- Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package (Q61831) (← links)
- Bayesian Quantile Regression for Ordinal Models (Q61840) (← links)
- Regression Quantiles (Q61847) (← links)
- Marginal Likelihood from the Gibbs Output (Q61849) (← links)
- Marginal Likelihood From the Metropolis–Hastings Output (Q61851) (← links)
- Parameter Estimation and Model Selection for Neyman-Scott Point Processes (Q61887) (← links)
- NScluster: An R Package for Maximum Palm Likelihood Estimation for Cluster Point Process Models Using OpenMP (Q61888) (← links)
- Multiple smoothing parameters selection in additive regression quantiles (Q61897) (← links)
- Estimating growth charts via nonparametric quantile regression: a practical framework with application in ecology (Q61901) (← links)
- Robust Mediation Analysis: The R Package robmed (Q61917) (← links)
- Contrasting assignment of migratory organisms to geographic origins using long-term versus year-specific precipitation isotope maps (Q61958) (← links)
- assignR : An r package for isotope‐based geographic assignment (Q61962) (← links)
- Counterfactual Probabilities: Computational Methods, Bounds and Applications (Q61979) (← links)
- A General Method for Deriving Tight Symbolic Bounds on Causal Effects (Q61989) (← links)
- The Chromosome Counts Database ( CCDB ) – a community resource of plant chromosome numbers (Q62003) (← links)
- Profile and Non-Profile MM Modeling of Cluster Failure Time and Analysis of ADNI Data (Q62027) (← links)
- Efficient algorithms for survival data with multiple outcomes using the frailty model (Q62029) (← links)
- A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits (Q62047) (← links)
- MissForest--non-parametric missing value imputation for mixed-type data (Q62089) (← links)
- A generalized additive model approach to time-to-event analysis (Q62108) (← links)
- SUNDIALS (Q62127) (← links)
- A general trimming approach to robust cluster Analysis (Q62161) (← links)
- tclust: An R Package for a Trimming Approach to Cluster Analysis (Q62164) (← links)
- Exploring the number of groups in robust model-based clustering (Q62169) (← links)
- Automatic Time Series Forecasting with GRNN: A Comparison with Other Models (Q62180) (← links)
- Strategies for time series forecasting with generalized regression neural networks (Q62183) (← links)
- Circulating tumor DNA methylation profiles enable early diagnosis, prognosis prediction, and screening for colorectal cancer (Q62232) (← links)
- Semiparametric two-component mixture model with a known component: An asymptotically normal estimator (Q62241) (← links)
- Estimation of a Two-component Mixture Model with Applications to Multiple Testing (Q62244) (← links)
