Latest Research in Statistical Distribution Estimation and Applications

Top Research Topics in Statistical Distribution Estimation and Applications

• Statistical Distribution Estimation and Applications — 20 papers
• Methodology — 17 papers
• Statistics Theory — 7 papers
• Optimization and Control — 4 papers
• Machine Learning — 3 papers
• Bayesian Methods and Mixture Models — 3 papers
• Machine Learning — 3 papers
• Computation — 2 papers
• Econometrics — 1 papers
• Gaussian Processes and Bayesian Inference — 1 papers

Highest-Cited Papers

1. On a gamma–beta prime mixture model for heterogeneous positive data: properties and inference
2. A New Quantile Differential Family with an Explicit Quadratic Distribution: Theory, Statistical Properties, and Applications
3. On the parametric and semiparametric Fisher information matrix for non-zero mean stationary spherical invariant random processes
4. Exponential Smoothing for Time Series of Random Objects
5. Gaussian Boundary Inference in a Hypergeometric Heavy-Tailed Family
6. Tensor-BEKK: Conditional Covariance Modeling and Inference for Tensor-Valued Time Series
7. A new tractable Archimedean copula for full-range tail dependence
8. CP-factorization for high dimensional tensor time series and double projection iterations
9. The Geometric–Natural Discrete Lindley Distribution: A One-Parameter Mixture Model with Stochastic Representation for Overdispersed Count Data
10. Spectral-Residual Continuous Greedy for Tensor Sampling
11. Heterogeneous Mixture Distributions for Modeling Skewed Data in Engineering Applications: A Theoretical Approach
12. Recursive Adaptive Importance Sampling with Optimal Replenishment
13. Information-Computation Inversion in Pseudo-Marginal MCMC
14. Bayesian quadrature
15. Parsimonious Compactly Supported Covariance Models in the Gauss Hypergeometric Class: Identifiability, Reparameterizations, and Asymptotic Properties
16. CyclOT: Learning Quadratic Optimal Transport Maps via Synchronized Forward-Backward Interpolants
17. New modified light tail Weibull distribution with application to automobile collision data and PORT-VaR analysis
18. Temporal Fourier Likelihoods with Spatial Hilbert-Space Gaussian Process Approximations
19. Local increment inference for time-inhomogeneous drift in Gaussian processes
20. A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian Likelihoods