Statistics Lab

The members of the lab conduct research in Statistics & its applications in the Environmental Sciences. The current fields of activity are: sampling theory, small area estimation, nonparametric curve estimation and modeling & analysis of spatial and temporal data. Main application areas are statistical issues in forestry, forest inventory, forest econometrics, ecology, large scale monitoring and climate change research.

For students: If you would like to start a Master's thesis, please get in touch with us to discuss possible topics.

Members

Rita Ghosh

Dirk Karger (Project: DeforScen)

Adrian Lanz

Alexander Francis Massey (visiting scientist)

Gabrielle Moser (visiting scientist)

Minna Riitta Pulkkinen

Statistics Lab Seminars

Informal presentations (min. 1 hour) on statistical methods & their applications, with focus on fundamentals & technical issues.

If you'd like to attend one of these sessions, let Minna know, and she will send you the necessary information. Typical meeting dates fall on Thursday afternoons.

Further information

Teaching

Smoothing & Nonparametric Regression <<ETH Course Catalog>>, ETH, Zurich (Rita Ghosh)

Waldinventur, SHL Zollikofen (Adrian Lanz)

Students, Postdocs, Guests

Guests

Moser, Gabrielle: <<personal homepage of Gabi>> (WSL project contact: Rita Ghosh)

Massey, Alexander Francis: <<personal homepage Alex>> (WSL project contact: Marco Ferretti)

Postdoctoral fellows

Massey, Alexander Francis (2019): <<personal homepage Alex>> (WSL project contact: Marco Ferretti)

Pulkkinen, Minna Riitta (2016 - 2019): <<personal homepage of Minna >> (WSL project contact: Adrian Lanz)

Ene, Liviu Theodor (2016 - 2018): currently at Skogforsk, Uppsala. <<personal homepage of Liviu>> (WSL project contact: Adrian Lanz)

Master & PhD students

Ayadi, Karim (2018) Semesterarbeit/Term paper: On nonparametric change point estimation and edge detection techniques. ETH Zurich (Rita Ghosh)

Wu, Fan (2016) Master thesis: On optimal surface estimation under local stationarity - An application to Swiss National Forest Inventory data. ETH Zurich (Rita Ghosh)

Carlos Ricardo Ochoa Pereira (2015) Master Thesis: Novel semiparametric estimation method for the analysis of zero-inflated data: an application to the young forest records of the Swiss NFI 3. University of Zurich. (Rita Ghosh). Currently, PhD candidate at the University of Geneva. <<personal homepage>>

Massey, Alexander F. (2015) PhD Thesis: Multiphase estimation procedures for forest inventories under the design-based Monte Carlo approach. ETH Zurich. (Adrian Lanz)

Moser, Gabrielle (2014) Master thesis: Spatial aspects of forest monitoring data and surface estimation: An analysis of the Swiss NFI. University of Zurich. (Rita Ghosh)

Montazeri, Hesam (2011) Master Thesis: Nonparametric density and mode estimation for bounded data. ETH Zurich (Rita Ghosh). Currently, Assistant Professor of Bioinformatics at the University of Tehran.

Montazeri, Hesam (2010) Semesterarbeit (Term paper): Nonparametric mode estimation in probability density functions. ETH Zurich (Rita Ghosh)

Menendez, Patricia (2009) PhD Thesis: Statistical tools for palaeo data. ETH Zurich (Rita Ghosh)

Bierer, Daniel. (2008) PhD Thesis: Composite Estimation of Stand Tables. Georg-August-Universität Göttingen. (Adrian Lanz). Currently at the Statistical Office of the Canton of Zurich. <<Contact>>

Draghicescu, Dana. (2002) PhD Thesis: Nonparametric Quantile Estimation for Dependent Data. EPF Lausanne (Rita Ghosh). Currently, Professor at CUNY, Hunter College, New York.

Committees & Editorial Boards

Committees

Steering Group of the European National Forest Inventory Network ENFIN (Adrian Lanz)

Expert extérieur de la section spécialisée "Inventaire des ressources forestières" du conseil scientifique et technique de l’institut national de l’information géographique et forestière (Adrian Lanz)

Editorial Boards

Associate Editor, Journal of Statistical Planning & Inference, Elsevier (Rita Ghosh)