The following pages link to describes a project that uses (P1463):
Displaying 50 items.
- A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic Programming (Q89288) (← links)
- Metrics and barycenters for point pattern data (Q89375) (← links)
- Sequential estimation of Spearman rank correlation using Hermite series estimators (Q89438) (← links)
- Efficient and fast estimation of the geometric median in Hilbert spaces with an averaged stochastic gradient algorithm (Q89452) (← links)
- Fast estimation of the median covariation matrix with application to online robust principal components analysis (Q89458) (← links)
- Achieving shrinkage in a time-varying parameter model framework (Q89526) (← links)
- Bayesian Design of Noninferiority Trials for Medical Devices Using Historical Data (Q89674) (← links)
- A generative model for rank data based on insertion sort algorithm (Q89742) (← links)
- BAMLSS: Bayesian Additive Models for Location, Scale, and Shape (and Beyond) (Q89961) (← links)
- Inferring causal impact using Bayesian structural time-series models (Q89980) (← links)
- Estimation of the global minimum variance portfolio in high dimensions (Q90168) (← links)
- Multivariate Real-Time Signal Extraction by a Robust Adaptive Regression Filter (Q90652) (← links)
- Testing for constant variance in a linear model (Q90697) (← links)
- Simulation-based finite-sample tests for heteroskedasticity and ARCH effects (Q90702) (← links)
- An improved test for heteroskedasticity using adjusted modified profile likelihood inference (Q90741) (← links)
- Asymptotic inference under heteroskedasticity of unknown form (Q90759) (← links)
- A new heteroskedasticity-consistent covariance matrix estimator for the linear regression model (Q90764) (← links)
- Testing the simplifying assumption in high-dimensional vine copulas (Q90995) (← links)
- Bayesian Synthetic Likelihood (Q91055) (← links)
- Accelerating Bayesian Synthetic Likelihood With the Graphical Lasso (Q91057) (← links)
- Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach (Q91059) (← links)
- Statistical analyses for round robin interaction data (Q91154) (← links)
- Bayesian fractional polynomials (Q91296) (← links)
- Tensor Decompositions and Applications (Q91405) (← links)
- Matrix Completion, Counterfactuals, and Factor Analysis of Missing Data (Q91408) (← links)
- Inference for the autocovariance of a functional time series under conditional heteroscedasticity (Q91428) (← links)
- Portmanteau Test of Independence for Functional Observations (Q91432) (← links)
- Fast regularized canonical correlation analysis (Q91610) (← links)
- Hilbert space methods for reduced-rank Gaussian process regression (Q91877) (← links)
- Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming (Q91882) (← links)
- Enhanced cube implementation for highly stratified population (Q92041) (← links)
- Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs (Q92130) (← links)
- Constructing Sobol Sequences with Better Two-Dimensional Projections (Q92176) (← links)
- Characterizing the generalized lambda distribution by L-moments (Q92223) (← links)
- Numerical maximum log likelihood estimation for generalized lambda distributions (Q92229) (← links)
- Confidence intervals for quantiles using generalized lambda distributions (Q92231) (← links)
- Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity (Q92247) (← links)
- Generation Of Time Series Models With Given Spectral Properties (Q92277) (← links)
- Robust tools for the imperfect world (Q92459) (← links)
- Robust statistic for the one-way MANOVA (Q92460) (← links)
- The minimum regularized covariance determinant estimator (Q92466) (← links)
- Two-stage data segmentation permitting multiscale change points, heavy tails and dependence (Q92617) (← links)
- Bootstrap confidence intervals for multiple change points based on moving sum procedures (Q92618) (← links)
- (Leveled) fully homomorphic encryption without bootstrapping (Q92720) (← links)
- Multi-companion matrices (Q92814) (← links)
- Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas (Q93079) (← links)
- Propensity score weighting for causal inference with multiple treatments (Q93141) (← links)
- Dose Finding for Continuous and Ordinal Outcomes with a Monotone Objective Function: A Unified Approach (Q93669) (← links)
- Model selection in the space of Gaussian models invariant by symmetry (Q93776) (← links)
- A sample selection model with skew-normal distribution (Q94631) (← links)
