The following pages link to arXiv classification (P22):
Displaying 50 items.
- Generating Multidimensional Clusters With Support Lines (Q76426) (← links)
- A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors (Q76594) (← links)
- Confidence Intervals for Prevalence Estimates from Complex Surveys with Imperfect Assays (Q76811) (← links)
- Testing Rankings with Cross-Validation (Q76972) (← links)
- brolgar: An R package to BRowse Over Longitudinal Data Graphically and Analytically in R (Q77010) (← links)
- Policy Learning with the polle package (Q77123) (← links)
- Adversarial random forests for density estimation and generative modeling (Q77194) (← links)
- Multi-Task Learning for Sparsity Pattern Heterogeneity: A Discrete Optimization Approach (Q77349) (← links)
- Automated calibration for stability selection in penalised regression and graphical models (Q77590) (← links)
- PyTorch: An Imperative Style, High-Performance Deep Learning Library (Q77737) (← links)
- The Simulator: An Engine to Streamline Simulations (Q77803) (← links)
- Multivariate Distributional Stochastic Frontier Models (Q77856) (← links)
- Adaptive clinical trial designs with blinded selection of binary composite endpoints and sample size reassessment (Q77879) (← links)
- Covariate Selection Based on a Model-free Approach to Linear Regression with Exact Probabilities (Q78051) (← links)
- Linear Regression, Covariate Selection and the Failure of Modelling (Q78052) (← links)
- Inference for all variants of the multivariate coefficient of variation in factorial designs (Q78058) (← links)
- Modelling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data using FRK (Q78206) (← links)
- Estimating optimal treatment regimes in survival contexts using an instrumental variable (Q78382) (← links)
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction (Q78490) (← links)
- Uncertainty Quantification and the Marginal MDP Model (Q78531) (← links)
- Martingale posterior distributions (Q78534) (← links)
- FNETS: Factor-adjusted network estimation and forecasting for high-dimensional time series (Q78562) (← links)
- fnets: An R Package for Network Estimation and Forecasting via Factor-Adjusted VAR Modelling (Q78563) (← links)
- OSQP: An Operator Splitting Solver for Quadratic Programs (Q78613) (← links)
- A Data Driven Bayesian Graphical Ridge Estimator (Q78756) (← links)
- The CDF penalty:sparse and quasi unbiased estimation in regression models (Q78939) (← links)
- Generalized Linear Model for Gamma Distributed Variables via Elastic Net Regularization (Q79055) (← links)
- Multivariate Bayesian structured variable selection for pharmacogenomic studies (Q79090) (← links)
- Equivariant Passing-Bablok regression in quasilinear time (Q79381) (← links)
- Generalized Stability Approach for Regularized Graphical Models (Q79393) (← links)
- Two-directional simultaneous inference for high-dimensional models (Q79412) (← links)
- Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing (Q79505) (← links)
- Bayesian Hierarchical Models for High-Dimensional Mediation Analysis with Coordinated Selection of Correlated Mediators (Q79634) (← links)
- Comparison and Bayesian Estimation of Feature Allocations (Q79670) (← links)
- The hidden factor: accounting for covariate effects in power and sample size computation for a binary trait (Q79737) (← links)
- Improved inference for MCP-Mod approach for time-to-event endpoints with small sample sizes (Q79875) (← links)
- Multiscale Comparison of Nonparametric Trend Curves (Q79882) (← links)
- Cluster Regularization via a Hierarchical Feature Regression (Q80156) (← links)
- Parsing Gigabytes of JSON per Second (Q80185) (← links)
- recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms (Q80187) (← links)
- Unit-Weibull Autoregressive Moving Average Models (Q80222) (← links)
- Auditing Ranked Voting Elections with Dirichlet-Tree Models: First Steps (Q80282) (← links)
- Ballot-Polling Audits of Instant-Runoff Voting Elections with a Dirichlet-Tree Model (Q80283) (← links)
- Number Parsing at a Gigabyte per Second (Q80362) (← links)
- A Kernel Multiple Change-point Algorithm via Model Selection (Q80474) (← links)
- Quantile Fourier Transform, Quantile Series, and Nonparametric Estimation of Quantile Spectra (Q80707) (← links)
- Cluster-Specific Predictions with Multi-Task Gaussian Processes (Q80871) (← links)
- ProcessTransformer: Predictive Business Process Monitoring with Transformer Network (Q80916) (← links)
- Sparsity by Worst-Case Penalties (Q81122) (← links)
- Partially observed Markov processes with spatial structure via the R package spatPomp (Q81247) (← links)
