activity
20142016
most citedStatistical Inference, Learning and Models in Big Data

44 citations · 67 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2016★ 1 cited

Estimation of multiple change points under a generalised Ornstein-Uhlenbeck framework

Fuqi Chen, Rogemar Mamon, Matt Davison

The use of an Ornstein-Uhlenbeck (OU) process is ubiquitous in business, economics and finance to capture various price processes and evolution of economic indicators exhibiting me…

math.ST2016

Determination of a structural break in a mean-reverting process

Fuqi Chen, Rogemar Mamon, Severien Nkurunziza

Determining accurately when regime and structural changes occur in various time-series data is critical in many social and natural sciences. We develop and show further the equival…

math.ST2015★ 22 cited

Optimal method in multiple regression with structural changes

Fuqi Chen, Sévérien Nkurunziza

In this paper, we consider an estimation problem of the regression coefficients in multiple regression models with several unknown change-points. Under some realistic assumptions,…

stat.ML2015★ 44 cited

Statistical Inference, Learning and Models in Big Data

Beate Franke, Jean-François Plante, Ribana Roscher +11

The need for new methods to deal with big data is a common theme in most scientific fields, although its definition tends to vary with the context. Statistical ideas are an essenti…

stat.ME2014

A short note on model selection by LASSO methods in a change-point model

Fuqi Chen, Sévérien Nkurunziza

In Ciuperca (2012) (Ciuperca. Model selection by LASSO methods in a change-point model, Stat. Papers, 2012; (in press)), the author considered a linear regression model with multip…