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[KNJIGA][B] Interval-censored time-to-event data: methods and applications
Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent
techniques, models, and computational tools for interval-censored time-to-event data. Top …
techniques, models, and computational tools for interval-censored time-to-event data. Top …
Likelihood ratio tests for monotone functions
We study the problem of testing for equality at a fixed point in the setting of nonparametric
estimation of a monotone function. The likelihood ratio test for this hypothesis is derived in …
estimation of a monotone function. The likelihood ratio test for this hypothesis is derived in …
Confidence intervals for current status data
The likelihood ratio statistic for testing pointwise hypotheses about the survival time
distribution in the current status model can be inverted to yield confidence intervals (CIs) …
distribution in the current status model can be inverted to yield confidence intervals (CIs) …
Likelihood based inference for monotone response models
M Banerjee - 2007 - projecteuclid.org
The behavior of maximum likelihood estimates (MLEs) and the likelihood ratio statistic in a
family of problems involving pointwise nonparametric estimation of a monotone function is …
family of problems involving pointwise nonparametric estimation of a monotone function is …
Coverage of credible intervals in nonparametric monotone regression
M Chakraborty, S Ghosal - The Annals of Statistics, 2021 - JSTOR
For nonparametric univariate regression under a monotonicity constraint on the regression
function f, we study the coverage of a Bayesian credible interval for f (x 0), where x0 is an …
function f, we study the coverage of a Bayesian credible interval for f (x 0), where x0 is an …
Rates and coverage for monotone densities using projection-posterior
M Chakraborty, S Ghosal - Bernoulli, 2022 - projecteuclid.org
We consider Bayesian inference for a monotone density on the unit interval and study the
resulting asymptotic properties. We consider a “projection-posterior” approach, where we …
resulting asymptotic properties. We consider a “projection-posterior” approach, where we …
Gaussian white noise models: some results for monotone functions
JA Wellner - Lecture Notes-Monograph Series, 2003 - JSTOR
Gaussian white noise models have become increasingly popular as a canonical type of
model in which to address certain statistical problems. We briefly review some statistical …
model in which to address certain statistical problems. We briefly review some statistical …
A pseudolikelihood method for analyzing interval censored data
We introduce a method based on a pseudolikelihood ratio for estimating the distribution
function of the survival time in a mixed-case interval censoring model. In a mixed-case …
function of the survival time in a mixed-case interval censoring model. In a mixed-case …
Likelihood ratio tests under local alternatives in regular semiparametric models
M Banerjee - Statistica Sinica, 2005 - JSTOR
We consider the behavior of likelihood ratio statistics for testing a finite dimensional
parameter, or functional of interest, under local alternative hypotheses in regular …
parameter, or functional of interest, under local alternative hypotheses in regular …
Semiparametric binary regression models under shape constraints with an application to Indian schooling data
We consider estimation of the regression function in a semiparametric binary regression
model defined through an appropriate link function (with emphasis on the logistic link) using …
model defined through an appropriate link function (with emphasis on the logistic link) using …