activity
20092026
most citedEstimators for Long Range Dependence: An Empirical Study

37 citations · 39 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2026

Inferential applications of the moments of the logit-normal distribution

John Holmes, Ness Arps, Marco Reale

Despite the implicit appearance of logit-normal random variables in many inferential problems, the logit-normal distribution is poorly studied. Most frustratingly, no default metho…

q-fin.GN2023

Changes in Risk Appreciation, and Short Memory of House Buyers When the Market is Hot, a Case Study of Christchurch, New Zealand

Emil Mendoza, Fabian Dunker, Marco Reale

In this paper house prices in Christchurch are analyzed over three distinct periods of time: post-2011 earthquake, pre-COVID-19 lockdown, and post-COVID-19 lockdown using the well-…

stat.CO2021

Nonparametric Estimation of the Random Coefficients Model in Python

Emil Mendoza, Fabian Dunker, Marco Reale

We present , a Python module that implements Regularized Maximum Likelihood Estimation for the analysis of Random Coefficient models. is simple t…

stat.ME2021★ 1 cited

Regularized Maximum Likelihood Estimation for the Random Coefficients Model

Fabian Dunker, Emil Mendoza, Marco Reale

The random coefficients model , with , , i.i.d, and independent of…

stat.ML2015★ 1 cited

HHCART: An Oblique Decision Tree

D. C. Wickramarachchi, B. L. Robertson, M. Reale +2

Decision trees are a popular technique in statistical data classification. They recursively partition the feature space into disjoint sub-regions until each sub-region becomes homo…

stat.ME2009★ 37 cited

Estimators for Long Range Dependence: An Empirical Study

William Rea, Les Oxley, Marco Reale +1

We present the results of a simulation study into the properties of 12 different estimators of the Hurst parameter, , or the fractional integration parameter, , in long memor…