activity
20192026
most citedNonparametric Cointegrating Regression Functions with Endogeneity and Semi-Long Memory

1 citations · 2 across the 10 of their papers we have counts for

collaborators

11 papers

stat.ME2026

Bayesian Estimation of Variance under Fine Stratification via Mean-Variance Smoothing

Sepideh Mosaferi, Shonosuke Sugasawa

Fine stratification survey is useful in many applications as its point estimator is unbiased, but the variance estimator under the design cannot be easily obtained, particularly wh…

stat.ME2025

Optimal Change Point Detection and Inference in the Spectral Density of General Time Series Models

Sepideh Mosaferi, Abolfazl Safikhani, Peiliang Bai

This paper addresses the problem of detecting change points in the spectral density of time series, motivated by EEG analysis of seizure patients. Seizures disrupt coherence and fu…

stat.ME2023

Properties of Test Statistics for Nonparametric Cointegrating Regression Functions Based on Subsamples

Sepideh Mosaferi, Mark S. Kaiser, Daniel J. Nordman

Nonparametric cointegrating regression models have been extensively used in financial markets, stock prices, heavy traffic, climate data sets, and energy markets. Models with param…

stat.ME2023

An Unbiased Predictor for Skewed Response Variable with Measurement Error in Covariate

Sepideh Mosaferi, Malay Ghosh, Shonosuke Sugasawa

We introduce a new small area predictor when the Fay-Herriot normal error model is fitted to a logarithmically transformed response variable, and the covariate is measured with err…

econ.EM2021★ 1 cited

Nonparametric Cointegrating Regression Functions with Endogeneity and Semi-Long Memory

Sepideh Mosaferi, Mark S. Kaiser

This article develops nonparametric cointegrating regression models with endogeneity and semi-long memory. We assume that semi-long memory is produced in the regressor process by t…

stat.ME2021

A Bayesian Approach for the Variance of Fine Stratification

Sepideh Mosaferi

Fine stratification is a popular design as it permits the stratification to be carried out to the fullest possible extent. Some examples include the Current Population Survey and N…

stat.AP2021

An application of a small area procedure with correlation between measurement error and sampling error to the Conservation Effects Assessment Project

Emily Berg, Sepideh Mosaferi

County level estimates of mean sheet and rill erosion from the Conservation Effects Assessment Project (CEAP) are useful for program development and evaluation. Since county sample…

stat.ME2021

Transformed Fay-Herriot Model with Measurement Error in Covariates

Sepideh Mosaferi, Malay Ghosh, Rebecca C. Steorts

Statistical agencies are often asked to produce small area estimates (SAEs) for positively skewed variables. When domain sample sizes are too small to support direct estimators, ef…

stat.ME2019★ 1 cited

Empirical and Constrained Empirical Bayes Variance Estimation Under A One Unit Per Stratum Sample Design

Sepideh Mosaferi

A single primary sampling unit (PSU) per stratum design is a popular design for estimating the parameter of interest. Although, the point estimator of the design is unbiased and ef…

stat.ME2019

A Recommendation for Net Undercount Estimation in Iran Population and Dwelling Censuses

Sepideh Mosaferi, Hamidreza Navvabpour

Census counts are subject to different types of nonsampling errors. One of these main errors is coverage error. Undercount and overcount are two types of coverage error. Undercount…

stat.AP2019

Spatio-Temporal Mixed Models to Predict Coverage Error Rates at Local Areas

Sepideh Mosaferi

Despite of the great efforts during the censuses, occurrence of some nonsampling errors such as coverage error is inevitable. Coverage error which can be classified into two types…