Search
Search Results
-
Bounds on generalized family-wise error rates for normal distributions
The Bonferroni procedure has been one of the foremost frequentist approaches for controlling the family-wise error rate (FWER) in simultaneous...
-
High-order asymptotic approximations for improved inference under exceptionally low false positive error rates
A methodology for obtaining accurate approximations to p -values of likelihood-based test statistics for a scalar parameter is proposed. The procedure...
-
Right-censored nonparametric regression with measurement error
This study focuses on estimating a nonparametric regression model with right-censored data when the covariate is subject to measurement error. To...
-
Inference for Quasi-reaction Models with Covariate-Dependent Rates
Statistical models of quasi-reaction systems are typically described by constant reaction rates. This assumption is too restrictive in many...
-
Modelling of Overdispersed Count Rates
This paper revisits the common problem of analysing counts recorded over time through the modelling of the underlying rate, motivated by the analysis...
-
Digression on Multiple Testing: False Discovery Rates
A classical single hypothesis test proceeds by specifying...
-
Inference for logistic regression with covariates subject to limit of detection and measurement error
In clinical studies, often values of a covariate or biomarker are left-censored due to the limit of detection (LOD). An ordinary regression approach...
-
Functional regression with dependent error and missing observation in reproducing kernel Hilbert spaces
In this paper, we focus on the partial functional linear model with missing observation, which allows the responses or part of the covariates or...
-
Validation Data-Located Modification for the Multilevel Analysis of Miscategorized Nominal Response with Covariates Subject to Measurement Error
AbstractIn many longitudinal and hierarchical epidemiological frameworks, observations regarding to each individual are recorded repeatedly over...
-
Variable selection for nonparametric quantile regression via measurement error model
This paper proposes a variable selection procedure for the nonparametric quantile regression based on the measurement error model (MEM). The “false”...
-
High-dimensional properties for empirical priors in linear regression with unknown error variance
We study full Bayesian procedures for high-dimensional linear regression. We adopt data-dependent empirical priors introduced in Martin et al....
-
Strong convergence of a nonparametric relative error regression estimator under missing data with functional predictors
In this paper, we develop a nonparametric estimator of the regression function for a functional explanatory variable and a scalar response variable...
-
A Class of Logarithmic Type Estimator Under Non-Response and Measurement Error Using ORRT Models
To analyse the finite population mean of the sensitive variable(s) more efficiently, a novel extended logarithmic type estimator is suggested in the...
-
Impact of the Error Structure on the Design and Analysis of Enzyme Kinetic Models
The statistical analysis of enzyme kinetic reactions usually involves models of the response functions which are well defined on the basis of...
-
Exponential Bounds and Convergence Rates of Sieve Estimators for Functional Autoregressive Processes
In the following study, we deal with the exponential bounds and rates for a class of sieve estimators of Grenander for Functional Autoregressive...
-
Stochastic Simulation of Continuous Time Random Walks: Minimizing Error in Time-Dependent Rate Coefficients for Diffusion-Limited Reactions
A reaction limited by standard diffusion is simulated stochastically to illustrate how the continuous time random walk (CTRW) formalism can be...
-
Strong uniform consistency of the local linear relative error regression estimator under left truncation
This paper is concerned with a nonparametric estimator of the regression function based on the local linear method when the loss function is the mean...
-
On Some Consequences of COVID-19 in EUR/USD Exchange Rates and Economy
Here we analyze several economical variables which have been affected by the period of COVID-19. In particular, EUR/US exchange rates are addressed....
-
Analysis of type I and II error rates of Bayesian and frequentist parametric and nonparametric two-sample hypothesis tests under preliminary assessment of normality
Testing for differences between two groups is among the most frequently carried out statistical methods in empirical research. The traditional...
-
Improved Breitung and Roling estimator for mixed-frequency models with application to forecasting inflation rates
Instead of applying the commonly used parametric Almon or Beta lag distribution of MIDAS, Breitung and Roling (J Forecast 34:588–603, 2015) suggested...
