The following pages link to arXiv ID (P21):
Displaying 50 items.
- A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data (Q124494) (← links)
- Bayesian modelling and quantification of Raman spectroscopy (Q124504) (← links)
- Clustering inference in multiple groups (Q124713) (← links)
- mSHAP: SHAP Values for Two-Part Models (Q124783) (← links)
- Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data (Q124843) (← links)
- Mixtures of Contaminated Matrix Variate Normal Distributions (Q125081) (← links)
- Fiber direction estimation, smoothing and tracking in diffusion MRI (Q125183) (← links)
- Gaussian Process Learning via Fisher Scoring of Vecchia's Approximation (Q125192) (← links)
- A lava attack on the recovery of sums of dense and sparse signals (Q125382) (← links)
- A continuous updating weighted least squares estimator of tail dependence in high dimensions (Q125412) (← links)
- A Fast Algorithm for Computing High-dimensional Risk Parity Portfolios (Q125531) (← links)
- A Matching Procedure for Sequential Experiments that Iteratively Learns which Covariates Improve Power (Q125535) (← links)
- Extracting the signed backbone of intrinsically dense weighted networks (Q125539) (← links)
- Efficient Stepwise Selection in Decomposable Models (Q125563) (← links)
- Model-based regression clustering for high-dimensional data. Application to functional data (Q125589) (← links)
- Casting Multiple Shadows: High-Dimensional Interactive Data Visualisation with Tours and Embeddings (Q125679) (← links)
- Autocart -- spatially-aware regression trees for ecological and spatial modeling (Q125723) (← links)
- Empirical Bayes posterior concentration in sparse high-dimensional linear models (Q125752) (← links)
- Empirical priors for prediction in sparse high-dimensional linear regression (Q125753) (← links)
- Deciphering Interactions in Causal Networks without Parametric Assumptions (Q126025) (← links)
- Correlation between graphs with an application to brain network analysis (Q126082) (← links)
- Two-Sample Tests for Large Random Graphs Using Network Statistics (Q126110) (← links)
- Two-sample Hypothesis Testing for Inhomogeneous Random Graphs (Q126111) (← links)
- Completion of High Order Tensor Data with Missing Entries via Tensor-train Decomposition (Q126164) (← links)
- The Classical Complexity of Boson Sampling (Q126355) (← links)
- Good distribution modelling with the R package good (Q126643) (← links)
- Nonparametric Trace Regression in High Dimensions via Sign Series Representation (Q126671) (← links)
- On the Use of Random Forest for Two-Sample Testing (Q126728) (← links)
- Do Not Trust Additive Explanations (Q126735) (← links)
- Querying multiple sets of $p$-values through composed hypothesis testing (Q126752) (← links)
- Flexible generalized varying coefficient regression models (Q126898) (← links)
- Scrambled Linear Pseudorandom Number Generators (Q126971) (← links)
- Continuous counterparts of Poisson and binomial distributions and their properties (Q127135) (← links)
- Bayesian Bootstrap Spike-and-Slab LASSO (Q127195) (← links)
- An extended empirical saddlepoint approximation for intractable likelihoods (Q127258) (← links)
- A nonparametric method for producing isolines of bivariate exceedance probabilities (Q127498) (← links)
- Analyzing second order stochasticity of neural spiking under stimuli-bundle exposure (Q127507) (← links)
- Regularized estimation in sparse high-dimensional time series models (Q127754) (← links)
- Joint Latent Class Trees: A Tree-Based Approach to Modeling Time-to-event and Longitudinal Data (Q127862) (← links)
- Microsimulation Model Calibration using Incremental Mixture Approximate Bayesian Computation (Q128019) (← links)
- An external field prior for the hidden Potts model with application to cone-beam computed tomography (Q128047) (← links)
- An Introduction to Proximal Causal Learning (Q128095) (← links)
- Spectral estimation of Hawkes processes from count data (Q128141) (← links)
- Elliptical Symmetry Tests in \proglang{R} (Q128204) (← links)
- An Approach to Statistical Process Control that is New, Nonparametric, Simple, and Powerful (Q128220) (← links)
- Unit Testing for MCMC and other Monte Carlo Methods (Q128289) (← links)
- Sparse and Smooth Functional Data Clustering (Q128310) (← links)
- Maximum likelihood multiple imputation: Faster imputations and consistent standard errors without posterior draws (Q128322) (← links)
- Design of phase III trials with long-term survival outcomes based on short-term binary results (Q128355) (← links)
- High-Dimensional Bayesian Regularised Regression with the BayesReg Package (Q128392) (← links)
