The following pages link to DOI (P27):
Displaying 50 items.
- Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates (Q104768) (← links)
- Feature screening for time-varying coefficient models with ultrahigh-dimensional longitudinal data (Q104771) (← links)
- Models for asymmetric proximities (Q104778) (← links)
- Analysis of asymmetry by a slide-vector (Q104779) (← links)
- A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation (Q104791) (← links)
- Fuzzy ART K-Means Clustering Technique: a hybrid neural network approach to cellularmanufacturing systems (Q104800) (← links)
- Identifying Feature Sequences from Process Data in Problem-Solving Items with N-Grams (Q104826) (← links)
- Hands-On Machine Learning with R (Q104829) (← links)
- A method for simulating non-normal distributions (Q104833) (← links)
- Profile-Likelihood Approach for Estimating Generalized Linear Mixed Models With Factor Structures (Q104850) (← links)
- Estimating Complex Measurement and Growth Models Using the R Package PLmixed (Q104851) (← links)
- Influence function and robust variant of kernel canonical correlation analysis (Q104863) (← links)
- Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics (Q104865) (← links)
- Regression in Tensor Product Spaces by the Method of Sieves (Q104871) (← links)
- BANOVA: An R Package for Hierarchical Bayesian ANOVA (Q104881) (← links)
- BANOVA: Bayesian Analysis of Experiments in Consumer Psychology (Q104883) (← links)
- A semi-supervised Bayesian mixture modelling approach for joint batch correction and classification (Q104891) (← links)
- Nonparametric Inference Using Randomization and Permutation Reference Distribution and Their Monte-Carlo Approximation (Q104896) (← links)
- HUM calculator and HUM package for R: easy-to-use software tools for multicategory receiver operating characteristic analysis (Q104931) (← links)
- Assessing methods for multiple imputation of systematic missing data in marine fisheries time series with a new validation algorithm (Q104946) (← links)
- An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing (Q104961) (← links)
- Unsupervised Learning With Random Forest Predictors (Q104984) (← links)
- BiasCorrector : Fast and accurate correction of all types of experimental biases in quantitative DNA methylation data derived by different technologies (Q105002) (← links)
- PARAFAC: Parallel factor analysis (Q105010) (← links)
- Extant timetrees are consistent with a myriad of diversification histories (Q105017) (← links)
- Multivariate elliptically contoured stable distributions: theory and estimation (Q105039) (← links)
- Correction of PCR-bias in quantitative DNA methylation studies by means of cubic polynomial regression (Q105055) (← links)
- mlr3: A modern object-oriented machine learning framework in R (Q105100) (← links)
- Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments (Q105103) (← links)
- A Unifying Bayesian Approach for Sample Size Determination Using Design and Analysis Priors (Q105116) (← links)
- Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics (Q105156) (← links)
- Geographically weighted principal components analysis (Q105164) (← links)
- Geographically Weighted Discriminant Analysis (Q105166) (← links)
- Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (Q105168) (← links)
- Linear Mixed-Effects Models: Basic Concepts and Examples (Q105193) (← links)
- additive: Bindings for Additive TidyModels (Q105370) (← links)
- bayesian: Bindings for Bayesian TidyModels (Q105390) (← links)
- Algorithm AS 136: A K-Means Clustering Algorithm (Q105416) (← links)
- Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions (Q105419) (← links)
- Multivariate Reduced-Rank Regression (Q105422) (← links)
- Reduced rank regression via adaptive nuclear norm penalization (Q105426) (← links)
- ‘On the degrees of freedom of reduced-rank estimators in multivariate regression’ (Q105431) (← links)
- Robust reduced-rank regression (Q105433) (← links)
- Leveraging mixed and incomplete outcomes via reduced-rank modeling (Q105484) (← links)
- Sparse Reduced-Rank Regression for Simultaneous Dimension Reduction and Variable Selection (Q105487) (← links)
- Reduced Rank Stochastic Regression with a Sparse Singular value Decomposition (Q105490) (← links)
- SOFAR: Large-Scale Association Network Learning (Q105495) (← links)
- Eigenvectors from Eigenvalues Sparse Principal Component Analysis (Q105511) (← links)
- Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression (Q105517) (← links)
- Developing methods for identifying the inflection point of a convex/concave curve (Q105520) (← links)
