The following pages link to arXiv ID (P21):
Displaying 50 items.
- Vecchia-approximated Deep Gaussian Processes for Computer Experiments (Q84900) (← links)
- Triangulation candidates for Bayesian optimization (Q84902) (← links)
- The robusTest package: two-sample tests revisited (Q85067) (← links)
- Robust Distributional Regression with Automatic Variable Selection (Q85095) (← links)
- Variable Selection Using a Smooth Information Criterion for Distributional Regression Models (Q85096) (← links)
- The free group in R (Q85275) (← links)
- Cross-entropy clustering (Q85407) (← links)
- A wavelet-based tool for studying non-periodicity (Q85553) (← links)
- The Cellwise Minimum Covariance Determinant Estimator (Q85573) (← links)
- Analyzing cellwise weighted data (Q85574) (← links)
- Hypothesis testing near singularities and boundaries (Q85619) (← links)
- Measuring and testing dependence by correlation of distances (Q85647) (← links)
- Equivalence of distance-based and RKHS-based statistics in hypothesis testing (Q85652) (← links)
- The distance standard deviation (Q85655) (← links)
- On complex Gaussian random fields, Gaussian quadratic forms and sample distance multivariance (Q85661) (← links)
- Elastic analysis of irregularly or sparsely sampled curves (Q85670) (← links)
- Adaptive gPCA: A method for structured dimensionality reduction (Q85772) (← links)
- binspp: An R Package for Bayesian Inference for Neyman-Scott Point Processes with Complex Inhomogeneity Structure (Q85785) (← links)
- betaclust: a family of mixture models for beta valued DNA methylation data (Q86080) (← links)
- Modeling microbial abundances and dysbiosis with beta-binomial regression (Q86089) (← links)
- Approximating distribution functions by iterated function systems (Q86288) (← links)
- Sparsity information and regularization in the horseshoe and other shrinkage priors (Q86320) (← links)
- A flexible regression model for count data (Q86465) (← links)
- Semi-Supervised Classification with Graph Convolutional Networks (Q86584) (← links)
- Post-clustering difference testing: valid inference and practical considerations (Q86782) (← links)
- The Degrees of Freedom of Partial Least Squares Regression (Q86894) (← links)
- Explainable AI without Interpretable Model (Q86919) (← links)
- Swarm intelligence for self-organized clustering (Q86925) (← 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)
- The local partial autocorrelation function and some applications (Q87410) (← 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)
- Estimating diversity via frequency ratios (Q88012) (← links)
