## Stat Me

- Apr 24 Data-adaptive statistics for multiple hypothesis testing in high-dimensional settings
- Apr 23 Overlapping Variable Clustering with Statistical Guarantees
- Apr 18 On the choice of the low-dimensional domain for global optimization via random embeddings
- Apr 18 Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection
- Apr 17 Statistical inference for high dimensional regression via Constrained Lasso
- Apr 17 Mixture modeling on related samples by $ψ$-stick breaking and kernel perturbation
- Apr 15 Metropolis Sampling
- Apr 13 Adaptive Neighboring Selection Algorithm Based on Curvature Prediction in Manifold Learning
- Apr 12 Beyond Uniform Priors in Bayesian Network Structure Learning
- Apr 12 Joint Semi-supervised RSS Dimensionality Reduction and Fingerprint Based Algorithm for Indoor Localization
- Apr 10 Group Importance Sampling for particle filtering and MCMC
- Apr 10 Integrating Additional Knowledge Into Estimation of Graphical Models
- Apr 9 An Outlyingness Matrix for Multivariate Functional Data Classification
- Apr 6 Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness
- Apr 5 The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
- Apr 4 Bayesian optimization with virtual derivative sign observations
- Apr 3 Local nearest neighbour classification with applications to semi-supervised learning
- Apr 3 Efficient acquisition rules for model-based approximate Bayesian computation
- Mar 30 The Informativeness of k-Means for Learning Gaussian Mixture Models
- Mar 24 Rejection-free Ensemble MCMC with applications to Factorial Hidden Markov Models
- Mar 21 Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration
- Mar 21 Overcoming model simplifications when quantifying predictive uncertainty
- Mar 21 A Deterministic Global Optimization Method for Variational Inference
- Mar 17 Inference via low-dimensional couplings
- Mar 16 Causal Inference through the Method of Direct Estimation
- Mar 15 Student-t Process Quadratures for Filtering of Non-Linear Systems with Heavy-Tailed Noise
- Mar 15 Student-t Process Quadratures for Filtering of Non-Linear Systems with Heavy-Tailed Noise