scientific article; zbMATH DE number 7625198
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Publication:5054652
Andrew B. Nobel, Kevin O'Connor, Kevin McGoff
Publication date: 29 November 2022
Full work available at URL: https://arxiv.org/abs/2006.07998
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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- On the Monge-Kantorovich problem with additional linear constraints
- Model-independent bounds for option prices -- a mass transport approach
- Wasserstein distances in the analysis of time series and dynamical systems
- On Kamae's conjecture concerning the d-distance between two-state Markov processes
- Conditions for attaining d by a Markovian joining
- A generalization of Ornstein's \(\overline d\) distance with applications to information theory
- The \(\bar d\)-distance between two Markov processes cannot always be attained by a Markov joining
- Existence and application of optimal Markovian coupling with respect to non-negative lower semi-continuous functions
- Coupling polynomial Stratonovich integrals: the two-dimensional Brownian case
- An application of ergodic theory to probability theory
- Estimation of time-varying parameters in statistical models: An optimization approach
- Gibbs posterior convergence and the thermodynamic formalism
- Estimating processes in adapted Wasserstein distance
- Empirical risk minimization and complexity of dynamical models
- Rigidity for Markovian maximal couplings of elliptic diffusions
- A Bayesian Approach to Multistate Hidden Markov Models: Application to Dementia Progression
- Empirical risk minimization for dynamical systems and stationary processes
- On undiscounted markovian decision processes with compact action spaces
- Counter examples for compact action markov decision chains with average reward criteria
- Weak convergence of a sequence of Markov chains
- Distances between Two-State Markov Processes Attainable by Markov Joinings
- Counting Walks and Graph Homomorphisms via Markov Chains and Importance Sampling
- On the total variation distance of labelled Markov chains
- On Computing the Total Variation Distance of Hidden Markov Models.
- The Wasserstein-Fourier Distance for Stationary Time Series
- Coupling the Kolmogorov diffusion: maximality and efficiency considerations
- Dynamic Nonparametric Bayesian Models for Analysis of Music
- Hidden Markov processes in the context of symbolic dynamics
- Disjointness in ergodic theory, minimal sets, and a problem in diophantine approximation
- Diagonal Equivalence to Matrices with Prescribed Row and Column Sums
- Hidden Markov Models for Time Series
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