Copertina

Nonstationary Distribution Estimation via Wasserstein Probability Flows

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Anderson, Edward J., Keehan, Dominic S. T.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Optimization and Control 62G05, 90C35 (Primary) 62M20, 62M10 (Secondary)
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Don't Look Back in Anger: Wasserstein Distributionally Robust Optimization with Nonstationary Data
di: Keehan, Dominic S. T., et al.
Pubblicazione: (2025)

Frequentist forecasting in regime-switching models with extended Hamilton filter
di: Okuyama, Kento, et al.
Pubblicazione: (2025)

A Sequential Testing Problem with Signal Control
di: Campbell, Steven, et al.
Pubblicazione: (2025)

Probability Density Estimation via Optimal Control
di: Hegland, Markus, et al.
Pubblicazione: (2025)

Direct Estimation of Schrödinger Bridge Time-Series Drifts: Finite-Sample, Asymptotic, and Adaptive Guarantees
di: Mazhar, Othmane, et al.
Pubblicazione: (2026)

Minimax estimation of the structure factor of spatial point processes
di: Mastrilli, Gabriel
Pubblicazione: (2025)

On the optimal prediction of extreme events in heavy-tailed time series with applications to solar flare forecasting
di: Verma, Victor, et al.
Pubblicazione: (2024)

Spatio-temporal patterns of diurnal temperature: a random matrix approach I-case of India
di: Bhattacharjee, Madhuchhanda, et al.
Pubblicazione: (2024)

Eliciting core spatial association from spatial time series: a random matrix approach
di: Bhattacharjee, Madhuchhanda, et al.
Pubblicazione: (2026)

Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression
di: Das, Abhinav, et al.
Pubblicazione: (2024)

Exclusivity Classes and Partitions of Loss Functions
di: Halkiewicz, Stanisław M. S.
Pubblicazione: (2025)

On the Necessity of Two-Stage Estimation for Learning Dynamical Systems under Both Noise and Node-Wise Attacks
di: Kim, Jihun, et al.
Pubblicazione: (2026)

Conditional distributions for the nested Dirichlet process via sequential imputation
di: Donald, Evan, et al.
Pubblicazione: (2025)

A Statistical Framework for Learning Preferences from the Past
di: Sadhukhan, Tamojit, et al.
Pubblicazione: (2026)

Nonparametric Bayesian inference for stochastic processes with piecewise constant priors
di: Belomestny, Denis, et al.
Pubblicazione: (2023)

Emperical Study on Various Symmetric Distributions for Modeling Time Series
di: Kitagawa, Genshiro
Pubblicazione: (2024)

Enhancing Computational Efficiency in State-Space Models Using Rao-Blackwellization and 2-Step Approximation
di: Kitagawa, Genshiro
Pubblicazione: (2024)

Backward Smoothing versus Fixed-Lag Smoothing in Particle Filters
di: Kitagawa, Genshiro
Pubblicazione: (2026)

Asymptotic uniqueness in long-term prediction
di: Vovk, Vladimir
Pubblicazione: (2023)

The Local to Unity Dynamic Tobit Model
di: Bykhovskaya, Anna, et al.
Pubblicazione: (2022)

Huber-based Robust System Identification with Near-Optimal Guarantees Across Independent and Adversarial Regimes
di: Kim, Jihun, et al.
Pubblicazione: (2026)

Subsample-Based Estimation under Dynamic Contamination
di: Yang, Yukai, et al.
Pubblicazione: (2026)

Optimal Transport Based Testing in Factorial Design
di: Groppe, Michel, et al.
Pubblicazione: (2025)

Mixed orthogonality graphs for continuous-time state space models and orthogonal projections
di: Fasen-Hartmann, Vicky, et al.
Pubblicazione: (2023)

Measuring General Associations in Time Series: An Adaptation and Empirical Evaluation of the CODEC Coefficient in Determining Autoregressive Dynamics
di: Montaño, Juan Pablo, et al.
Pubblicazione: (2025)

Online Spectral Density Estimation
di: Kazi, Shahriar Hasnat, et al.
Pubblicazione: (2025)

Mixed orthogonality graphs for continuous-time stationary processes
di: Fasen-Hartmann, Vicky, et al.
Pubblicazione: (2023)

Model-based Bootstrap of Controlled Markov Chains
di: Su, Ziwei, et al.
Pubblicazione: (2026)

Multiscale Autoregression on Adaptively Detected Timescales
di: Baranowski, Rafal, et al.
Pubblicazione: (2024)

Optimal Control of a Battery Storage On the Energy Market
di: Schlüter, Stephan, et al.
Pubblicazione: (2024)

Subordinated Wright-Fisher Priors
di: Judd, Nathan A., et al.
Pubblicazione: (2026)

Flow Matching for Efficient and Scalable Data Assimilation
di: Transue, Taos, et al.
Pubblicazione: (2025)

Optimal Inference of the Mean Outcome under Optimal Treatment Regime
di: Xu, Shuoxun, et al.
Pubblicazione: (2025)

Partial correlation graphs for continuous-parameter time series
di: Fasen-Hartmann, Vicky, et al.
Pubblicazione: (2024)

Seasonal and Periodic Patterns in US COVID-19 Mortality using the Variable Bandpass Periodic Block Bootstrap
di: Valachovic, Edward, et al.
Pubblicazione: (2024)

Periodicity in New York State COVID-19 Hospitalizations Leveraged from the Variable Bandpass Periodic Block Bootstrap
di: Ahmad, Asmaa, et al.
Pubblicazione: (2024)

Revisiting Madigan and Mosurski: Collapsibility via Minimal Separators
di: Heng, Pei, et al.
Pubblicazione: (2025)

Robust Estimation in Finite Mixture Models
di: Lecestre, Alexandre
Pubblicazione: (2021)

Martingale Posterior Distributions for Log-concave Density Functions
di: Cui, Fuheng, et al.
Pubblicazione: (2024)

Quantifying and testing dependence to categorical variables
di: Hörmann, Siegfried, et al.
Pubblicazione: (2025)