This work was supported by the Natural Science Foundation of China(71771089);the Shanghai Philosophy and Social Sci-ence Foundation(2015BGL001);the National Social Science Foundation Key Program of China(17ZDA091);China Scholarship Council(201906140045)。
For stochastic loss reserving,we propose an individual information model(IIM)which accom-modates not only individual/micro data consisting of incurring times,reporting developments,settlement developments as well as p...
Supported by the National Natural Science Foundation of China(No.11471068)
The generalized estimating equations(GEE) approach is perhaps one of the most widely used methods for longitudinal data analysis. While the GEE method guarantees the consistency of its estimators under working correla...
supported by Major Programm of Natural Science Foundation of China under Grant No.71690242;the Natural Science Foundation of China under Grant No.11471252;the National Social Science Fund of China under Grant No.18BTJ040
In this paper, for the generalized linear models (GLMs) with diverging number of covariates, the asymptotic properties of maximum quasi-likelihood estimators (MQLEs) under some regular conditions are developed. Th...
Asymptotic results are obtained using an approach based on limit theorem results obtained for α-mixing sequences for the class of general spacings (GSP) methods which include the maximum spacings (MSP) method. The MS...
Maximum entropy likelihood (MEEL) methods also known as exponential tilted empirical likelihood methods using constraints from model Laplace transforms (LT) are introduced in this paper. An estimate of overall loss of...
Various models have been proposed in the literature to study non-negative integer-valued time series. In this paper, we study estimators for the generalized Poisson autoregressive process of order 1, a model developed...
Group testing is a method of pooling a number of units together and performing a single test on the resulting group. It is an appealing option when few individual units are thought to be infected leading to reduced co...
There has been a considerable recent attention in modeling over dispersed binomial data occurring in toxicology, biology, clinical medicine, epidemiology and other similar fields using a class of Binomial mixture dist...
supported by National Natural Science Foundation of China (Grant Nos. 10901162 and 10926073);China Postdoctoral Science Foundation and Foundation of the Key Laboratory of Random Complex Structures and Data Science, Chinese Academy of Sciences;supported by National Natural Science Foundation of China (Grant Nos. 10971007 and 11101015);the fund from the government of Beijing (Grant No. 2011D005015000007);supported by National Science Foundation of US (Grant Nos. DMS0806097 and DMS1007167)
We consider the statistical inference for right-censored data when censoring indicators are missing but nonignorable, and propose an adjusted imputation product-limit estimator. The proposed estimator is shown to be c...
This work was produced by the US National Institute of Health/Fogarty International Center under SR01TW008508.
The standard methods for regression analyses of clustered riverine larval habitat data of Simulium damnosum s.l.a major black-fly vector of onchoceriasis,postulate models relating observational ecological-sampled para...