activity
20182025
most citedSequential Spatially Balanced Sampling

6 citations · 10 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ME2025

Intelligent n-Means Spatial Sampling

Bardia Panahbehagh, Mehdi Mohebbi, Amir Mohammad HosseiniNasab

Well-spread samples are desirable in many disciplines because they improve estimation when target variables exhibit spatial structure. This paper introduces an integrated methodolo…

math.ST2023

Graphical Finite Population Sampling

Bardia Panahbehagh

This paper introduces an innovative and intuitive finite population sampling method that has been developed using a unique graphical framework. In this approach, first-order inclus…

stat.ME2021★ 6 cited

Sequential Spatially Balanced Sampling

Raphaël Jauslin, Bardia Panahbehagh, Yves Tillé

Sequential sampling occurs when the entire population is not known in advance and data are obtained one at a time or in groups of units. This manuscript proposes a new algorithm to…

cs.DS2021

Stream Sampling with Immediate Decision

Bardia Panahbehagh, Raphaël Jauslin, Yves Tillé

The manuscript introduces a method to select a random sample from a stream by deciding on each sampling unit immediately after observing it. The process could be applied to unequal…

stat.ME2021

Sequential Unequal Probability Sampling For Stream Population

Bardia Panahbehagh, Raphaël Jauslin, Yves Tillé

A new unequal probability sampling method is proposed. This method is sequential. The decision to select or not each unit is made based on the order in which the units appear. A va…

stat.ME2019★ 1 cited

Sampling of multiple variables based on partial order set theory

Bardia Panahbehagh, Rainer Bruggemann, Mohammad M. Salehi

This paper is going to introduce a new method for ranked set sampling with multiple criteria. The method is based on a version of ranked set sampling, introduced by Panahbehagh et…

cs.CL2018★ 3 cited

Creating a New Persian Poet Based on Machine Learning

Mehdi Hosseini Moghadam, Bardia Panahbehagh

In this article we describe an application of Machine Learning (ML) and Linguistic Modeling to generate persian poems. In fact we teach machine by reading and learning persian poem…

math.ST2018

Adaptive two-stage sequential double sampling

Bardia Panahbehagh, Afshin Parvardeh, Babak Mohammadi

In many surveys inexpensive auxiliary variables are available that can help us to make more precise estimation about the main variable. Using auxiliary variable has been extended b…