Image de couverture de livre

Estimating a distribution function for discrete data subject to random truncation with an application to structured finance

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lautier, Jackson P., Pozdnyakov, Vladimir, Yan, Jun
Format:	Preprint
Publié:	2021
Sujets:	Statistics Theory Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On the Convergence of Credit Risk in Current Consumer Automobile Loans
par: Lautier, Jackson P., et autres
Publié: (2022)

Some bivariate distributions on a discrete torus with application to wind direction datasets
par: Dhakad, Brajesh Kumar, et autres
Publié: (2026)

Debiased machine learning for counterfactual survival functionals based on left-truncated right-censored data
par: Morenz, Eric R., et autres
Publié: (2024)

Testing distributional equality for functional random variables
par: Banerjee, Bilol
Publié: (2023)

Estimation for multistate models subject to reporting delays and incomplete event adjudication with application to disability insurance
par: Buchardt, K., et autres
Publié: (2023)

An easily verifiable dispersion order for discrete distributions
par: Eberl, Andreas, et autres
Publié: (2025)

Optimal estimation in private distributed functional data analysis
par: Xue, Gengyu, et autres
Publié: (2024)

Multiple change point detection in functional data with applications to biomechanical fatigue data
par: Bastian, Patrick, et autres
Publié: (2023)

Generalized projection tests for function-valued parameters with applications to testing structural causal assumptions
par: Wang, Rui, et autres
Publié: (2026)

Exact distribution-free tests of spherical symmetry applicable to high dimensional data
par: Banerjee, Bilol, et autres
Publié: (2024)

Functional knockoffs selection with applications to functional data analysis in high dimensions
par: Qiao, Xinghao, et autres
Publié: (2024)

Asymptotic theory for nonparametric testing of $k$-monotonicity in discrete distributions
par: Balabdaoui, Fadoua, et autres
Publié: (2024)

Estimation of causal dose-response functions under data fusion
par: Lim, Jaewon, et autres
Publié: (2025)

Optimal inference for the mean of random functions
par: Kassi, Omar, et autres
Publié: (2025)

Exchangeable random permutations with an application to Bayesian graph matching
par: Gaffi, Francesco, et autres
Publié: (2026)

Asymptotic distribution of the global clustering coefficient in a random annulus graph
par: Yuan, Mingao
Publié: (2025)

Statistical inference of random graphs with a surrogate likelihood function
par: Wu, Dingbo, et autres
Publié: (2022)

Non-asymptotic two-sample kernel testing with the spectrally truncated normalized MMD
par: Lacroix, Perrine, et autres
Publié: (2026)

Asymptotic properties of the MLE in distributional regression under random censoring
par: Kremling, Gitte, et autres
Publié: (2025)

Doubly robust estimation with functional outcomes missing at random
par: Liu, Xijia, et autres
Publié: (2024)

Prior distributions for structured semi-orthogonal matrices
par: Jauch, Michael, et autres
Publié: (2025)

Profile monitoring of random functions with Gaussian process basis expansions
par: Iguchi, Takayuki, et autres
Publié: (2025)

Maximum-likelihood estimation of the Matérn covariance structure of isotropic spatial random fields on finite, sampled grids
par: Simons, Frederik J., et autres
Publié: (2025)

Estimation and convergence rates in the distributional single index model
par: Balabdaoui, Fadoua, et autres
Publié: (2023)

On unbiased estimators for functions of the rate parameter of the exponential distribution
par: Vila, Roberto, et autres
Publié: (2025)

Testing for changes in the error distribution in functional linear models
par: Neumeyer, Natalie, et autres
Publié: (2024)

Bayesian shrinkage priors subject to linear constraints
par: Ling, Zhi, et autres
Publié: (2025)

On new tests for the Poisson distribution based on empirical weight functions
par: Kirui, Winnie, et autres
Publié: (2024)

With random regressors, least squares inference is robust to correlated errors with unknown correlation structure
par: Zhang, Zifeng, et autres
Publié: (2024)

Censored and extreme losses: functional convergence and applications to tail goodness-of-fit
par: Bladt, Martin, et autres
Publié: (2024)

The projected isotropic normal distribution with applications in neuroscience
par: Mardia, Kanti V., et autres
Publié: (2026)

Consistent Empirical Bayes estimation of the mean of a mixing distribution without identifiability assumption. With applications to treatment of non-response
par: Greenshtein, Eitan
Publié: (2024)

The empirical discrete copula process
par: Geenens, Gery, et autres
Publié: (2025)

Likelihood ratio tests in random graph models with increasing dimensions
par: Yan, Ting, et autres
Publié: (2023)

Short-time expansion of characteristic functions in a rough volatility setting with applications
par: Chong, Carsten H., et autres
Publié: (2022)

Estimation and inference for minimizer and minimum of convex functions: optimality, adaptivity and uncertainty principles
par: Cai, T. Tony, et autres
Publié: (2023)

Fusion regression methods with repeated functional data
par: Moindjié, Issam-Ali, et autres
Publié: (2023)

Two-sample inference for sparse functional data
par: Zhang, Chi, et autres
Publié: (2023)

On a new PGDUS transformed model using Inverse Weibull distribution
par: Gauthami, P, et autres
Publié: (2025)

A nonparametric test of spherical symmetry applicable to high dimensional data
par: Banerjee, Bilol, et autres
Publié: (2024)