The following pages link to arXiv classification (P22):
Displaying 50 items.
- betaclust: a family of mixture models for beta valued DNA methylation data (Q86080) (← links)
- Semi-Supervised Classification with Graph Convolutional Networks (Q86584) (← links)
- Post-clustering difference testing: valid inference and practical considerations (Q86782) (← links)
- Explainable AI without Interpretable Model (Q86919) (← links)
- Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data (Q86963) (← links)
- One-step estimator paths for concave regularization (Q87161) (← links)
- Learning Important Features Through Propagating Activation Differences (Q87182) (← links)
- SmoothGrad: removing noise by adding noise (Q87188) (← links)
- How to Explain Individual Classification Decisions (Q87195) (← links)
- SPLICE: A Synthetic Paid Loss and Incurred Cost Experience Simulator (Q87216) (← links)
- SynthETIC: an individual insurance claim simulator with feature control (Q87223) (← links)
- Convex Clustering through MM: An Efficient Algorithm to Perform Hierarchical Clustering (Q87283) (← links)
- vtreat: a data.frame Processor for Predictive Modeling (Q87294) (← links)
- Entity Embeddings of Categorical Variables (Q87297) (← links)
- Inference of Mixed Graphical Models for Dichotomous Phenotypes using Markov Random Field Model (Q87313) (← links)
- Rank and Factor Loadings Estimation in Time Series Tensor Factor Model by Pre-averaging (Q87476) (← links)
- SMOTE: Synthetic Minority Over-sampling Technique (Q87487) (← links)
- Sparse arrays in R: the spray package (Q87587) (← links)
- Safe Testing (Q87824) (← links)
- The Safe Logrank Test: Error Control under Continuous Monitoring with Unlimited Horizon (Q87829) (← links)
- Generic E-Variables for Exact Sequential k-Sample Tests that allow for Optional Stopping (Q87830) (← links)
- Coarsened mixtures of hierarchical skew normal kernels for flow cytometry analyses (Q87868) (← links)
- Permutation inference in factorial survival designs with the CASANOVA (Q87895) (← links)
- Transfer learning for tensor Gaussian graphical models (Q87995) (← links)
- Species richness estimation with high diversity but spurious singletons (Q88016) (← links)
- Probabilistic Time Series Forecasts with Autoregressive Transformation Models (Q88049) (← links)
- Deep interpretable ensembles (Q88051) (← links)
- Data-Driven Diverse Logistic Regression Ensembles (Q88205) (← links)
- Motif-Based Spectral Clustering of Weighted Directed Networks (Q88769) (← links)
- Remiod: Reference-based Controlled Multiple Imputation of Longitudinal Binary and Ordinal Outcomes with non-ignorable missingness (Q88853) (← links)
- Nearly Random Designs with Greatly Improved Balance (Q88999) (← links)
- Better Experimental Design by Hybridizing Binary Matching with Imbalance Optimization (Q89000) (← links)
- Sample size calculations for the experimental comparison of multiple algorithms on multiple problem instances (Q89115) (← links)
- Custom-made Gauss quadrature for statisticians (Q89153) (← links)
- GET: Global envelopes in R (Q89205) (← links)
- False discovery rate envelopes (Q89206) (← links)
- K-Sample Test for Equality of Copulas (Q89269) (← links)
- Non-parametric Clustering of Multivariate Populations with Arbitrary Sizes (Q89270) (← links)
- An adaptive kernel estimator for the intensity function of spatio-temporal point processes (Q89443) (← links)
- A penalized criterion for selecting the number of clusters for K-medians (Q89462) (← links)
- MM-PCA: Integrative Analysis of Multi-group and Multi-view Data (Q89496) (← links)
- R package SamplingStrata: new developments and extension to Spatial Sampling (Q89517) (← links)
- Graph Sparsification by Effective Resistances (Q89551) (← links)
- Faster spectral sparsification and numerical algorithms for SDD matrices (Q89555) (← links)
- A Bayesian group sequential schema for ordinal endpoints (Q89591) (← links)
- Lattice-based designs with quasi-uniform projections (Q89649) (← links)
- BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear Models (Q89683) (← links)
- Blind Source Separation over Space (Q89834) (← links)
- Cauchy robust principal component analysis with applications to high-deimensional data sets (Q89970) (← links)
- Likelihood-based model selection for stochastic block models (Q90065) (← links)
