Asymptotic Analysis and Practical Evaluation of Jump Rate Estimators in Piecewise-Deterministic Markov Processes
Fuente:
arXiv
Saved in:
| Main Authors: | Azaïs, Romain, Denis, Solune |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Frontiers to the learning of nonparametric hidden Markov models
by: Abraham, Kweku, et al.
Published: (2023)
by: Abraham, Kweku, et al.
Published: (2023)
Statistical comparison of Hidden Markov Models via Fragment Analysis
by: Hernandez-Suarez, Carlos M., et al.
Published: (2025)
by: Hernandez-Suarez, Carlos M., et al.
Published: (2025)
Mean and Covariance Estimation for Discretely Observed High-Dimensional Functional Data: Rates of Convergence and Division of Observational Regimes
by: Petersen, Alexander
Published: (2024)
by: Petersen, Alexander
Published: (2024)
Harris recurrent Markov chains and nonlinear monotone cointegrated models
by: Bertail, Patrice, et al.
Published: (2024)
by: Bertail, Patrice, et al.
Published: (2024)
Discriminating Tail Behavior Using Halfspace Depths: Population and Empirical Perspectives
by: Singha, Sibsankar, et al.
Published: (2025)
by: Singha, Sibsankar, et al.
Published: (2025)
Optimal empirical Bayes estimation for the Poisson model via minimum-distance methods
by: Jana, Soham, et al.
Published: (2022)
by: Jana, Soham, et al.
Published: (2022)
Automatic and location-adaptive estimation in functional single-index regression
by: Novo, Silvia, et al.
Published: (2024)
by: Novo, Silvia, et al.
Published: (2024)
Discrete-time Markov chains with random observation times
by: Aurouet, Daphne, et al.
Published: (2025)
by: Aurouet, Daphne, et al.
Published: (2025)
On the Robustness of Mixture Models in the Presence of Hidden Markov Regimes with Covariate-Dependent Transition Probabilities
by: Pouzo, Demian, et al.
Published: (2025)
by: Pouzo, Demian, et al.
Published: (2025)
Vertex misalignment and changepoint localization in network time series
by: Chen, Tianyi, et al.
Published: (2026)
by: Chen, Tianyi, et al.
Published: (2026)
Maximum likelihood estimation for spinal-structured trees
by: Azaïs, Romain, et al.
Published: (2021)
by: Azaïs, Romain, et al.
Published: (2021)
Sparse semiparametric regression when predictors are mixture of functional and high-dimensional variables
by: Novo, Silvia, et al.
Published: (2024)
by: Novo, Silvia, et al.
Published: (2024)
Estimation of a Likelihood Ratio Ordered Family of Distributions
by: Mösching, Alexandre, et al.
Published: (2020)
by: Mösching, Alexandre, et al.
Published: (2020)
Bayesian joint quantile autoregression
by: Castillo-Mateo, Jorge, et al.
Published: (2023)
by: Castillo-Mateo, Jorge, et al.
Published: (2023)
Batched Single-Index Global Multi-Armed Bandits with Covariates
by: Arya, Sakshi, et al.
Published: (2025)
by: Arya, Sakshi, et al.
Published: (2025)
Deep Neural Networks for Doubly Robust Estimation with Nonprobability Survey Samples
by: Dai, Yufang, et al.
Published: (2026)
by: Dai, Yufang, et al.
Published: (2026)
Wasserstein Spatial Depth
by: Bachoc, François, et al.
Published: (2024)
by: Bachoc, François, et al.
Published: (2024)
Grouping predictors via network-wide metrics
by: Park, Brandon Woosuk, et al.
Published: (2024)
by: Park, Brandon Woosuk, et al.
Published: (2024)
On the Bernstein-smoothed lower-tail Spearman's rho estimator
by: Ouimet, Frédéric, et al.
Published: (2025)
by: Ouimet, Frédéric, et al.
Published: (2025)
Tweedie-based nonparametric estimation for semicontinuous mixed densities
by: Lyu, Guanjie, et al.
Published: (2026)
by: Lyu, Guanjie, et al.
Published: (2026)
Spatial Proportional Hazards Model with Differential Regularization
by: Tedesco, Lorenzo, et al.
Published: (2024)
by: Tedesco, Lorenzo, et al.
Published: (2024)
Nonparametric classification with missing data
by: Sell, Torben, et al.
Published: (2023)
by: Sell, Torben, et al.
Published: (2023)
On the choice of the two tuning parameters for nonparametric estimation of an elliptical distribution generator
by: Ryan, Victor, et al.
Published: (2024)
by: Ryan, Victor, et al.
Published: (2024)
Decompounding Under General Mixing Distributions
by: Belomestny, Denis, et al.
Published: (2024)
by: Belomestny, Denis, et al.
Published: (2024)
Prediction-based inference for integrated diffusions with high-frequency data
by: Jørgensen, Emil S., et al.
Published: (2026)
by: Jørgensen, Emil S., et al.
Published: (2026)
Copula-Based Estimation of Causal Effects in Multiple Linear and Path Analysis Models
by: Ali, Alam, et al.
Published: (2024)
by: Ali, Alam, et al.
Published: (2024)
Design-Based Inference under Random Potential Outcomes
by: Yang, Yukai
Published: (2025)
by: Yang, Yukai
Published: (2025)
Asymptotic properties of the multivariate Szász-Mirakyan estimator for cumulative distribution functions on the nonnegative orthant
by: Lyu, Guanjie, et al.
Published: (2026)
by: Lyu, Guanjie, et al.
Published: (2026)
Estimating Lagged (Cross-)Covariance Operators of $L^p$-$m$-approximable Processes in Cartesian Product Hilbert Spaces
by: Kühnert, Sebastian
Published: (2024)
by: Kühnert, Sebastian
Published: (2024)
Principles of Statistical Inference in Online Problems
by: Leung, Man Fung, et al.
Published: (2022)
by: Leung, Man Fung, et al.
Published: (2022)
A Bernstein polynomial approach for the estimation of cumulative distribution functions in the presence of missing data
by: Gharbi, Rihab, et al.
Published: (2025)
by: Gharbi, Rihab, et al.
Published: (2025)
"Sound and Fury": Nonlinear Functionals of Volatility Matrix in the Presence of Jump and Noise
by: Chen, Richard Y.
Published: (2024)
by: Chen, Richard Y.
Published: (2024)
On the Dirichlet-kernel Gasser--Müller estimator and its competitors for fixed design regression on the simplex
by: Daayeb, Hanen, et al.
Published: (2025)
by: Daayeb, Hanen, et al.
Published: (2025)
Location and scatter halfspace median under α-symmetric distributions
by: Bočinec, Filip, et al.
Published: (2025)
by: Bočinec, Filip, et al.
Published: (2025)
On Efficient Inference of Causal Effects with Multiple Mediators
by: Wei, Haoyu, et al.
Published: (2024)
by: Wei, Haoyu, et al.
Published: (2024)
Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels
by: Genest, Christian, et al.
Published: (2024)
by: Genest, Christian, et al.
Published: (2024)
Clustering risk in Non-parametric Hidden Markov and I.I.D. Models
by: Gassiat, Elisabeth, et al.
Published: (2023)
by: Gassiat, Elisabeth, et al.
Published: (2023)
On lead-lag estimation of non-synchronously observed point processes
by: Shiotani, Takaaki, et al.
Published: (2026)
by: Shiotani, Takaaki, et al.
Published: (2026)
Frame-constrained Total Variation Regularization for White Noise Regression
by: del Álamo, Miguel, et al.
Published: (2018)
by: del Álamo, Miguel, et al.
Published: (2018)
Efficient adjustment for complex covariates: Gaining efficiency with DOPE
by: Christgau, Alexander Mangulad, et al.
Published: (2024)
by: Christgau, Alexander Mangulad, et al.
Published: (2024)
Similar Items
-
Frontiers to the learning of nonparametric hidden Markov models
by: Abraham, Kweku, et al.
Published: (2023) -
Statistical comparison of Hidden Markov Models via Fragment Analysis
by: Hernandez-Suarez, Carlos M., et al.
Published: (2025) -
Mean and Covariance Estimation for Discretely Observed High-Dimensional Functional Data: Rates of Convergence and Division of Observational Regimes
by: Petersen, Alexander
Published: (2024) -
Harris recurrent Markov chains and nonlinear monotone cointegrated models
by: Bertail, Patrice, et al.
Published: (2024) -
Discriminating Tail Behavior Using Halfspace Depths: Population and Empirical Perspectives
by: Singha, Sibsankar, et al.
Published: (2025)