Wasserstein statistics in one-dimensional location-scale models
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Publication:2117890
DOI10.1007/978-3-030-80209-7_54OpenAlexW3184377348MaRDI QIDQ2117890
Takeru Matsuda, Shun-ichi Amari
Publication date: 22 March 2022
Full work available at URL: https://doi.org/10.1007/978-3-030-80209-7_54
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- Computational Optimal Transport: With Applications to Data Science
- Information geometry and its applications
- Information geometry connecting Wasserstein distance and Kullback-Leibler divergence via the entropy-relaxed transportation problem
- Ricci curvature for parametric statistics via optimal transport
- Wasserstein statistics in one-dimensional location-scale models
- Predictive density estimation under the Wasserstein loss
- Optimal transport for applied mathematicians. Calculus of variations, PDEs, and modeling
- On minimum Kantorovich distance estimators
- Asymptotic Statistics
- Information Geometry for Regularized Optimal Transport and Barycenters of Patterns
- Approximate Bayesian Computation with the Wasserstein Distance
- Optimal Transport
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