The following pages link to describes a project that uses (P1463):
Displaying 50 items.
- Global identifiability of linear structural equation models (Q116503) (← links)
- Half-trek criterion for generic identifiability of linear structural equation models (Q116505) (← links)
- New EM-type algorithms for the Heckman selection model (Q116653) (← links)
- Estimating sufficient reductions of the predictors in abundant high-dimensional regressions (Q116954) (← links)
- Integrative sparse principal component analysis (Q117095) (← links)
- A unified approach to model selection and sparse recovery using regularized least squares (Q117370) (← links)
- Nearly unbiased variable selection under minimax concave penalty (Q117379) (← links)
- Confidence intervals for high-dimensional inverse covariance estimation (Q117382) (← links)
- Estimating absolute and relative case fatality ratios from infectious disease surveillance data (Q117635) (← links)
- Sparse Bayesian time-varying covariance estimation in many dimensions (Q117775) (← links)
- Weighted logrank permutation tests for randomly right censored life science data (Q118074) (← links)
- Parsimonious Hidden Markov Models for Matrix-Variate Longitudinal Data (Q118176) (← links)
- The Hardness of Conditional Independence Testing and the Generalised Covariance Measure (Q118262) (← links)
- Bayes factors for testing order-constrained hypotheses on correlations (Q118335) (← links)
- High-dimensional regression and variable selection using CAR scores (Q118588) (← links)
- Bayesian exploratory factor analysis (Q118626) (← links)
- Bayesian variable selection with shrinking and diffusing priors (Q118687) (← links)
- Eigenanalysis of SNP data with an identity by descent interpretation (Q118951) (← links)
- Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses (Q119531) (← links)
- An Exact Trend Test for Correlated Binary Data (Q119547) (← links)
- Multi-class AdaBoost (Q119640) (← links)
- Smoothing population size estimates for time-stratified mark-recapture experiments using Bayesian P-splines (Q119719) (← links)
- Psychometric network models from time-series and panel data (Q119757) (← links)
- Real Time Anomaly Detection And Categorisation (Q119893) (← links)
- A heuristic for nonlinear global optimization (Q120012) (← links)
- A unification of models for meta-analysis of diagnostic accuracy studies (Q120089) (← links)
- Classification trees with soft splits optimized for ranking (Q120445) (← links)
- An approximation to the convolution of gamma distributions (Q120483) (← links)
- Density and distribution evaluation for convolution of independent gamma variables (Q120486) (← links)
- Multivariate mixture modeling using skew-normal independent distributions (Q120592) (← links)
- Robust mixture modeling based on scale mixtures of skew-normal distributions (Q120596) (← links)
- Estimating the effectiveness of permanent price reductions for competing products using multivariate Bayesian structural time series models (Q120642) (← links)
- On three-term conjugate gradient algorithms for unconstrained optimization (Q120733) (← links)
- A simple three-term conjugate gradient algorithm for unconstrained optimization (Q120734) (← links)
- A new three-term conjugate gradient algorithm for unconstrained optimization (Q120735) (← links)
- Imputation of missing values for compositional data using classical and robust methods (Q121344) (← links)
- Simplicial principal component analysis for density functions in Bayes spaces (Q121360) (← links)
- Explicit Sensor Network Localization using Semidefinite Representations and Facial Reductions (Q121877) (← links)
- A nearest-neighbor based nonparametric test for viral remodeling in heterogeneous single-cell proteomic data (Q122052) (← links)
- Inference using shape-restricted regression splines (Q122083) (← links)
- New FDR bounds for discrete and heterogeneous tests (Q122244) (← links)
- Radiocarbon Dating with Temporal Order Constraints (Q122437) (← links)
- Langevin diffusions on the torus: estimation and applications (Q122538) (← links)
- The time-rescaling theorem and its application to neural spike train data analysis (Q122872) (← links)
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers (Q122993) (← links)
- A Bayesian model for longitudinal circular data based on the projected normal distribution (Q123019) (← links)
- Local polynomial expectile regression (Q123172) (← links)
- Detecting changes in cross-sectional dependence in multivariate time series (Q123369) (← links)
- Penalized methods for bi-level variable selection (Q123387) (← links)
- The group exponential Lasso for bi-level variable selection (Q123390) (← links)
