Above are papers related to the following paper: [Paper_ID] Paper #421481. 	[Title] Bootstrapping Z Estimators [Abstract] We prove a general bootstrap theorem for possibly infinite-dimensional Zestimators which builds on the recent infinite-dimensional Ztheorem due to Van der Vaart (1995). Our result extends finite-dimensional results of this type for the bootstrap due to Arcones and Gine (1992), Lele (1991), and Newton and Raftery (1994). We sketch three examples of models with infinite-dimensional parameter spaces fi as applicatons of our general theorem. Please summarise all the given information.

Above are papers related to the following paper: [Paper_ID] Paper #375825. 	[Title] Double Censoring: Characterization and Computation of the Nonparametric Maximum Likelihood Estimator [Abstract]  Please summarise all the given information.

Above are papers related to the following paper: [Paper_ID] Paper #1119623. 	[Title] Interval Censored Survival Data: A Review of Recent Progress [Abstract] We review estimation in interval censoring models, including nonparametric estimation of a distribution function and estimation of regression models. In the non-parametric setting, we describe computational procedures and asymptotic properties of the nonparametric maximum likelihood estimators. In the regression setting, we focus on the proportional hazards, the proportional odds and the accelerated failure time semiparametric regression models. Particular emphasis is given to calculation of the Fisher information for the regression parameters. We also discuss computation of the regression parameter estimators via profile likelihood or maximization of the semi-parametric likelihood, distributional results for the maximum likelihood estimators, and estimation of (asymptotic) variances. Some further problems and open questions are also reviewed. Please summarise all the given information.

Paper #421481 has the title `Bootstrapping Z Estimators  
` and the abstract `We prove a general bootstrap theorem for possibly infinite-dimensional Zestimators which builds on the recent infinite-dimensional Ztheorem due to Van der Vaart (1995). Our result extends finite-dimensional results of this type for the bootstrap due to Arcones and Gine (1992), Lele (1991), and Newton and Raftery (1994). We sketch three examples of models with infinite-dimensional parameter spaces fi as applicatons of our general theorem. 
`.
Question: Which category should Paper #421481 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].


Paper #421481 has the title `Bootstrapping Z Estimators  
` and the abstract `We prove a general bootstrap theorem for possibly infinite-dimensional Zestimators which builds on the recent infinite-dimensional Ztheorem due to Van der Vaart (1995). Our result extends finite-dimensional results of this type for the bootstrap due to Arcones and Gine (1992), Lele (1991), and Newton and Raftery (1994). We sketch three examples of models with infinite-dimensional parameter spaces fi as applicatons of our general theorem. 
`.
Question: Which category should Paper #421481 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].

This paper should be classified into: Probabilistic_Methods