ASYMPTOTIC NORMALITY OF A KERNEL-TYPE ESTIMATOR FOR THE INTENSITY OF A PERIODIC POISSON PROCESS [PDF]
In this paper we prove asymptotic normality of a kernel type estimator for the intensity of a periodic Poisson process. This paper is a continuation of [10].
MANGKU, I W.
core +1 more source
Estimating Extreme Bivariate Quantile Regions [PDF]
AMS 2000 subject classifications. Primary 62G32, 62G05; secondary 60G70, 60F05.
Krajina, A. +2 more
core
A class of asymptotically unbiased semi-parametric estimators of the tail index
Statistical theory of extremes, semi-parametric estimation, Primary 62G05, 62E25, 62E20, Secondary 62F35,
Frederico Caeiro, M. Ivette Gomes
core +1 more source
Weak and Strong Convergence of a Kernel-type Estimator for the Intensity of a Periodic Poisson Processs [PDF]
In this paper we survey some results on weak and strong convergence of kernel type estimators for the intensity of a periodic Poisson process. We consider the situation when the period is known in order to be able to present simple proofs of the results.
MANGKU, I W., MANGKU, I. W. (I)
core +1 more source
Conservative inference for counterfactuals
In causal inference, the joint law of a set of counterfactual random variables is generally not identified. But many interesting quantities are functions of the joint distribution.
Balakrishnan Sivaraman +2 more
doaj +1 more source
Kernel type smoothed quantile estimation under long memory
Asymptotic normality, Long memory time series, Quantile estimation, Strong consistency, 62M10, 62G05, 62G20,
Lihong Wang
core +1 more source
Discrete Periodic Sampling with Jitter and Almost Periodically Correlated Processes
Continuous time process, Almost periodic covariance, Spectral covariance, Discrete time sampling, Jitter, Consistent estimator, 62G05, 62G20,
Dominique Dehay +3 more
core +1 more source
Nonparametric estimation of survival functions by means of partial exchangeability structures
Beta processes, hierarchical partition models, posterior probabilities, survival analysis, 62G05,
Paolo Giudici, Maura Mezzetti
core +1 more source
Asymptotic normality of the Parzen–Rosenblatt density estimator for strongly mixing random fields
Central limit theorem, Kernel density estimator, Strongly mixing random fields, Spatial processes, 62G05, 62G07, 60G60,
El Machkouri, Mohamed +1 more
core +1 more source
On the subsample bootstrap variance estimation
Jackknife, bootstrap, variance estimation, infinite order U-statistics, 62G05, 60F99,
Dragan Radulović
core +1 more source

