The following pages link to arXiv classification (P22):
Displaying 50 items.
- Towards Optimal Use of Surrogate Markers to Improve Power (Q94115) (← links)
- Efficient and feasible inference for high-dimensional normal copula regression models (Q94125) (← links)
- FastText.zip: Compressing text classification models (Q94187) (← links)
- How to generate random matrices from the classical compact groups (Q94262) (← links)
- Using a Surrogate with Heterogeneous Utility to Test for a Treatment Effect (Q94300) (← links)
- Revisiting the Gelman-Rubin Diagnostic (Q94327) (← links)
- A Kernel Measure of Dissimilarity between $M$ Distributions (Q94358) (← links)
- Evaluating undercounts in epidemics: response to Maruotti et al. 2022 (Q94396) (← links)
- Measuring Association on Topological Spaces Using Kernels and Geometric Graphs (Q94470) (← links)
- Methods for Large-scale Single Mediator Hypothesis Testing: Possible Choices and Comparisons (Q94495) (← links)
- LOCUS: A Novel Decomposition Method for Brain Network Connectivity Matrices using Low-rank Structure with Uniform Sparsity (Q94604) (← links)
- Computing Extremely Accurate Quantiles Using t-Digests (Q94659) (← links)
- Hierarchical clustering with discrete latent variable models and the integrated classification likelihood (Q94696) (← links)
- Covariate-Assisted Community Detection on Sparse Networks (Q94820) (← links)
- Estimating Transfer Entropy via Copula Entropy (Q94968) (← links)
- Multivariate Normality Test with Copula Entropy (Q94969) (← links)
- Using the bayesmeta R package for Bayesian random-effects meta-regression (Q95267) (← links)
- Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation (Q95280) (← links)
- Learning with Subset Stacking (Q95503) (← links)
- Lasso Inference for High-Dimensional Time Series (Q95760) (← links)
- Local Projection Inference in High Dimensions (Q95761) (← links)
- mpower: An R Package for Power Analysis via Simulation for Correlated Data (Q96034) (← links)
- Outliers Detection in Networks with Missing Links (Q96121) (← links)
- Grid-Parametrize-Split (GriPS) for Improved Scalable Inference in Spatial Big Data Analysis (Q96278) (← links)
- Spatial meshing for general Bayesian multivariate models (Q96279) (← links)
- Scaled Gaussian Stochastic Process for Computer Model Calibration and Prediction (Q96359) (← links)
- A theoretical framework of the scaled Gaussian stochastic process in prediction and calibration (Q96361) (← links)
- Calibration of imperfect geophysical models by multiple satellite interferograms with measurement bias (Q96364) (← links)
- Power Under Multiplicity Project (PUMP): Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes (Q96381) (← links)
- varycoef: An R Package for Gaussian Process-based Spatially Varying Coefficient Models (Q96402) (← links)
- Probit transformation for kernel density estimation on the unit interval (Q96446) (← links)
- Local-likelihood transformation kernel density estimation for positive random variables (Q96448) (← links)
- A generic approach to nonparametric function estimation with mixed data (Q96449) (← links)
- Asymptotic analysis of the jittering kernel density estimator (Q96450) (← links)
- Assessing and Visualizing Matrix Variate Normality (Q96456) (← links)
- Robust change point tests by bounded transformations (Q96506) (← links)
- Explicit non-asymptotic bounds for the distance to the first-order Edgeworth expansion (Q96848) (← links)
- Finite mixture of skewed sub-Gaussian stable distributions (Q96954) (← links)
- Objective Bayesian analysis for spatial Student-t regression models (Q96961) (← links)
- Matrix completion and low-rank SVD via fast alternating least squares (Q97013) (← links)
- From Louvain to Leiden: guaranteeing well-connected communities (Q97027) (← links)
- Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types (Q97034) (← links)
- Missing Value Imputation for Mixed Data via Gaussian Copula (Q97037) (← links)
- Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression (Q97113) (← links)
- All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously (Q97217) (← links)
- Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models (Q97220) (← links)
- "Why Should I Trust You?": Explaining the Predictions of Any Classifier (Q97230) (← links)
- Flexible domain prediction using mixed effects random forests (Q97412) (← links)
- Analysing Opportunity Cost of Care Work using Mixed Effects Random Forests under Aggregated Census Data (Q97414) (← links)
- Proximal Methods for Sparse Optimal Scoring and Discriminant Analysis (Q97534) (← links)
