Prof. Dr. Fadoua Balabdaoui

Seminar für Statistik, ETH Zürich
Office: HGG24.1
Phone: +41 44 632 7584
email: fadoua.balabdaoui@stat.math.ethz.ch

Education and previous appointements

1999 Diplôme d'Ingénieur Civil, Ècole des Mines de Paris, France
2004 PhD in Statistics, University of Washington, Seattle, USA
20042006 Postdoc, University of Göttingen, Germany
20062015 Assistant Professor at Université Paris DauphinePSL
2012 Habilitation à Diriger la Recherche, Université Paris DauphinePLS

Teaching

On Hypothesis Testing (BS/MS, ETH, Spring 2024)
Probability and Statistics (BS, ETH, Spring 2023)
Wahrscheinlichkeitstheorie und Statistik (BS, ETH, Spring 2022) Skript für den ersten Teil der Vorlesung , Script for the second part of the lecture
On Hypothesis Testing (MS, ETH, Spring 2021)
Time Series Analysis (MS, ETH, Fall 2020)
Inference in NonClassical Regression Models (BS & MS, ETH, Spring 2020)
Mathematical Tools in Machine Learning (MS, ETH, Fall 2019) script typed by S. Gaudlitz
Probability and Statistics (BS, ETH, Spring 2019)
On Hypothesis Testing (BS & MS, ETH, Fall 2017 & 2018) script typed by D. Markwalder
Statistical Inference under Shape Restriction (BS & MS, ETH, Spring 2017)
Fundamentals of Mathematical Statistics (BS & MS, ETH, Fall 2016)
Likelihood inference (Master, University of Zurich, Fall 2015)
Introduction à la Théorie de la Mesure (L3  MIDO, ParisDauphine)
Statistiques mathématiques (L3  MIDO, ParisDauphine)
Tests statistiques (Master 2  ISF, ParisDauphine)
Statistiques (L2  MIDO, ParisDauphine)

Research Interests

Nonparametric estimation under shape constraints
Mixture models and their applications
Unlinked regression models
Approximation theory  Splines
Empirical processes
Testing problems
Machine Learning
AI in poetry and music

Service to the scientific community

2009  present: Associate Editor for the Electronic Journal of Statistics
2020 : Associate Editor for Statistics and Probability Letters
2024 : Associate Editor for Statistical Methods and Applications
2024 : Associate Editor for Statistical Science

Students supervised or to be

Gabriella de FournasLabrosse (Master, 09/2017  01/2018)
Christopher Fragneau (PhD, 09/2017  06/2020 : cosupervised with Prof. C. Durot)
Yulia Kulagina (Master, 09/2017  01/2018 and PhD, 08/2018  06/2021)
Isaia Albisetti (Master, 11/2018  04/2019)
Maxime Lavech du Bos (Master, 11/2018  04/2019)
Lilian Mueller (Master, 09/2019  01/2020) (Winner of the ETHmedal for outstanding Master's thesis)
Anja L. Wiegel (Master, 03/2020  08/2020)
Harald Besdziek (PhD, 12/2020  06/2024)
Andrei Kolar (Master, 02/2021  06/2021)
Skander Stephan (Master, 10/2021  03/2022)
Maria Fuellemann (Master 10/2021  03/2022)
Zihao Zhang (Master, 02/2022  07/2022)
Francesco Brivio (Master, 03/2022  08/2022)
Romain Therezien (Master, 09/2022  02/2023)
Hanchen Gu (Master, 03/2023  08/2023)
Lukas Looser (Master, 03/2023  08/2023)
Afroditi Iliadis (Master, 03/2023  08/2023)
Paul Regnier (Master, 03/2023  08/2023)
Antonio Di Noia (PhD, 09/2023  : cosupervised with Prof. A. Mira)

Working Papers

Calibration of the multisite sceptical pvalue.
(with L. Held and S. Pawel)
Merging unmatched and matched regression samples: Inference with optimal weights.
(with M. Azadkia and A. Bouabda)
Asymptotic tests for kmonotonicity of a probability mass function.
(with A. Di Noia)
Maximum Likelihood estimation in unlinked linear regression models.
(with M. Slawski and J. Steffani)
Generative adversial models applied to unlinked regression.


Publications and Accepted Papers 
F. Balabdaoui, N. DittmannDomenichini, H. Grosse, C. Schlienger and G. Kortemeyer (2024)
A survey on student's use of AI at a technical university, Discov Educ 3, 51.
M. Azadkia and F. Balabdaoui (2024) Unlinked linear regression models: a deconvolution perspective, accepted for publication in Journal of Machine Learning Research (JMLR).
F. Balabdaoui, T. Wiezrbicki and E. Bao (2024) Reconstruction of the real 3D shape of the SARSCoV2 virus, acceptd for publica]tion in Biophysical Journal.
F. Balabdaoui, A. Henzi and L. Looser (2024)
Estimation and convergence rates in the distributional single index models, acceptd for publica]tion in Statistica Neerlandica.
C. Christopher, F. Balabdaoui, C. Durot and S. Stephan (2024)
Rates of convergence of the constrained least squares estimator in highdimensional single index models, accepted for publication in Communications in Statistics: Theory and Methods.
F. Balabdaoui and H. Besdziek (2023)
Maximum likelihood estimation of the logconcave compoment in a semiparametric mixture with a standard normal density, accepted in Journal of Planning and Statistical Inference .
C. Micheloud, F. Balabdaoui and L. Held (2023)
Assessing replicability with the sceptical pvalue: TypeI error control and sample size planning, Statistica Neerlandica , DOI:10.1111/stan.12312
T. Brack, J. Fankhauser, B. Zybach, F. Balabdaoui, S. Blunier, S. Kaufmann, F. Palmegiano, D. Scheiwiller, J.C. Tomasina and J. Dual (2023)
Dynamic gravitational excitation of structural resonances in the hertz regime using two rotating bars, accepted in Communications Physics .
F. Balabdaoui and Y. Kulagina (2023)
Randomly generated lyrics using mixture models: The poem that Frank Sinatra never sang, Journal of Mathematics and the Arts , DOI: 10.1080/17513472.2023.2186727
F. Balabdaoui, C. Durot and H. K. Jankowski (2023)
Behavior of the monotone single index model under repeated measurements, The Indian Journal of Statistics 85, 324350.
F. Balabdaoui, A. Kolar, Y. Kulagina and L. Mueller (2022)
Estimation of the complexity of a finite mixture distribution: from well to less known methods, Journal of Statistical Theory and Practice 16, 60.
A. Weigel, F. Balabdaoui, Y. Kulagina, and L. Mueller (2022). mixComp: An R package for estimating complexity of a mixture, The Journal of Open Source Software 7(74), 4354.
T. Brack, B. Zybach, F. Balabdaoui, S. Kaufmann, F. Palmegiano, J.C. Tomasian, S. Blunier, D. Scheiwiller, J. Fankhauser and J. Dual (2022).
Measurement and theory of gravitational coupling between vibrating beams, Nature Physics 18, 952–957.
F. Balabdaoui and Y. Kulagina (2021).
The Enigma behind the GoodTuring's formula, Snapshots of Modern Mathematics from Oberwolfach.
F. Balabdaoui, C. Doss and C. Durot (2021).
Unlinked monotone regression, Journal of Machine Learning Research (JMLR) 22, 160.
F. Balabdaoui, C. Durot and C. Fragneau (2021).
On the population leastsquares criterion in the monotone single index model, Statistica Neerlandica 75, 408436.
F. Balabdaoui and P. Groeneboom (2021).
Profile least squares estimators in the monotone single index model, Advances in Contemporary Statistics and Econometrics 322.
F. Balabdaoui and D. Mohr (2020).
Agestratified discrete compartment model of the COVID19 epidemic with applications to Switzerland, NatureScientific Reports 10:21306.
I. Albisetti. F. Balabdaoui and H. Holzmann (2020). Testing for spherical and elliptical symmetry, Journal of Multivariate Analysis 180:104667.
F. Balabdaoui and Y. Kulagina (2020). Complete monotone distributions: mixing, approximation and estimation of number of species, Computational Statistics and Data Analysis 150:107014.
M. Lavech, F. Balabdaoui and J. Heidenreich (2020). Modeling strainstress curves with neural networks: a scalable alternative to the return mapping algorithm, Computational Materials Science. 178, 110.
F. Balabdaoui and G. de FournasLabrosse (2020). Least squares estimation of a completely monotone pmf: From Analysis to Statistics, Journal of Statistical Planning and Inference . 206, 5571.
F. Balabdaoui, G. de FournasLabrosse and J. Giguelay (2019). Multiple monotonicity of discrete distributions: The case of the Poisson model, Electronic Journal of Statistics . 13, 17441758.
F. Balabdaoui, P. Groeneboom and K. Hendrickx (2019). Score estimation in the monotone single index model, Scandinavian Journal of Statistics . 46, 517544.
F. Balabdaoui, C. Durot and H. Jankowski (2019). Least squares estimation in the monotone single index model, accepted in Journal of Bernoulli .
F. Balabdaoui and C. Doss (2018). Inference for a mixture of symmetric distributions under logconcavity, Journal of Bernoulli . 24, 10531071.
F. Balabdaoui, C. Durot and F. Koladjo (2018). Testing convexity of a discrete distribution, Statistics and Probability Letters . 137, 813.
F. Balabdaoui (2017). Revisiting the HodgesLehmann estimator in a location mixture model: is asymptotic normality good enough?, Electronic Journal of Statistics . 11, 45634595.
W. Wei, F.Balabdaoui and L. Held (2017). Calibration tests for multivariate Gaussian forecasts, Journal of multivariate analysis. 154, 216233.
F. Balabdaoui, C. Durot and F. Koladjo (2017). On asymptotics of the discrete convex LSE of a pmf, Journal of Bernoulli . 23, 14491480.
F. Balabdaoui and S. Basu (2016). Letter to the Editor. Comments on GroparuCojocaru and Doray (2013), Communications in Statistics  Simulation and Computation .46, 38333840.
F. Balabdaoui and H. K. Jankowski (2016). Maximum Likelihood estimation of a unimodal probability mass function, Statistica Sinica . 26, 10611086.
F. Balabdaoui and C. Durot (2015). Marshall lemma in discrete convex estimation, Statistics and Probability Letters 99, 143148.
F. Balabdaoui and C. Butucea (2014). On location mixtures with Polya frequency components, Statistics and Probability Letters 95, 144149.
F. Balabdaoui (2014). Global convergence of the logconcave MLE when the truth is geometric, Journal of Nonparametric Statistics 26, 2159.
F. Balabdaoui and J. A. Wellner (2014). Chernoff's density is logconcave, Journal of Bernoulli 20, 231244.
N. Akakpo, F. Balabdadoui and C. Durot (2014). Testing monotonicity via local least concave majorants, Journal of Bernoulli 20, 514544.
F. Balabdaoui (2013). Discussion on "How to find an appropriate clustering for mixed type variables with application to socioeconomic stratification" by Christian Henning and Tim Liao, JRSSC 62, 309369.
F. Balabdaoui, H. Jankowski, K. Rufibach and M. Pavlides (2013). Asymptotic distribution of the discrete logconcave MLE and related applications, JRSSB 75, 769790.
F. Balabdaoui and K. Filali (2012). Efficient computation of the cdf of the distribution of the maximal difference between a Brownian bridge and its concave majorant, Journal of Statistical Computation and Simulation 82, 405418.
F. Balabdaoui and J. Pitman (2011). The distribution of the maximal difference between Brownian bridge and its concave majorant, Bernoulli 17, 466483.
F. Balabdaoui, H. Jankowski, M. Pavlides, A.Seregin and J. A. Wellner (2011). On the Grenander estimator at zero, Statistica Sinica 21, 873899. L.Held, K. Rufibach and F. Balabadaoui (2010). A score regression approach to assess calibration of continuous probabilistic predictions, Biometrics 66, 1295\961305. F. Balabdaoui, K. Rufibach and F. Santambrogio (2010). Least Squares estimation of two ordered monotone regression curves, Journal of Nonparametric Statistics 22, 1019\961037.
Balabdaoui, F. and Wellner J. A. (2010). Estimation of a kmonotone density: characterizations, consistency and minimax lower bounds, Statistica Neerlandica 64, 4570.
Balabdaoui, F., Bissantz, K., Bissantz, N. and Holzmann, H. (2010). Demonstrating single and multiple currents through the E. coliSecYEGpore:Testing for the number of modes of noisy observations, JASA and Case Studies 105, 136\96146.
F. Balabdaoui, M. Mielke and A. Munk (2009). The likelihood ratio test for nonstandard hypotheses near the boundary on the nullwith application to the assessment of noninferiority, Statistics and Decisions 24, 7592.
Balabdaoui, F., Rufibach, K. and Wellner, J. A. (2009). Limit distribution theory for maximum likelihood estimation of a logconcave density, Annals of Statistics 37, 12991331.
Balabdaoui, F. and Rufibach, K. (2008). A second Marshall inequality in convex estimation, Statistics and Probability Letters 78(2), 118126.
Balabdaoui, F. and Wellner, J. A. (2007). Estimation of a kmonotone density: limit distribution theory and the Spline connection, Annals of Statistics 35, 25362564 .
Balabdaoui, F. and Wellner, J. A. (2007). A KieferWolfowitz theorem for convex densities, IMS LectureNotes 55, 131 .
Balabdaoui, F. (2007). Consistent estimation of a convex density at the origin, Mathematical Methods of Statistics 16, 7795 .
Tilmann Gneiting, Fadoua Balabdaoui and Adrian E. Raftery (2007). Probabilistic forecasts, calibration and sharpness, Journal of the Royal Statistical Society: Series B 69, 126 .
Raftery, A., Gneiting, T., Balabdaoui, F. and Polakowski, M. (2005). Using Bayesian Model Averaging to Calibrate Forecast Ensembles, Monthly Weather Review 133, 11551174 .
Balabdaoui,F., BocquetAppel, J.P., Lajaunie C. and Irudaya Rajan S. (2001). Spacetime evolution of the fertility transition in India, 19611991, International Journal of Population Geography 7, 129148.  