| Prof. Dr. Fadoua Balabdaoui
 
         
                        | 
 | Seminar für Statistik, ETH Zürich
 Office:  HG-G24.1
 Phone: +41 44 632 7584
 e-mail:   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
 2004-2006 Postdoc, University of Göttingen, Germany
 2006-2015 Assistant Professor at Université Paris Dauphine-PSL
 2012 Habilitation à Diriger la Recherche, Université Paris Dauphine-PLS
 
 |  Teaching
 
                               | 
 | Time Series Analysis (MS/PhD, ETH, Fall 2024)
 Data Analysis and Machine Learning (MS, Ashesi University, Ghana  from 22.04.24 to 26.04.24)
 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 Non-Classical 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, Paris-Dauphine)
 Statistiques mathématiques (L3 - MIDO, Paris-Dauphine)
 Tests statistiques (Master 2 - ISF, Paris-Dauphine)
 Statistiques (L2 - MIDO, Paris-Dauphine)
 
 |  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 Fournas-Labrosse (Master, 09/2017 - 01/2018)
 Christopher Fragneau (PhD, 09/2017 - 06/2020 : co-supervised 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 ETH-medal 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 - : co-supervised with Prof. A. Mira)
 Jonathan Steffani (Master, 10/2023 - 03/2024)
 Justine Leclerc (Master, 10/2024 - 03/2025)
 Joel Boronka (Master, 10/2024 - 03/2025)
 Jinyu Chen (Master, 03/2025 - 08/2025)
 Caterina Cappeller (Master, 10/2025 - 02/2026)
 
 |  Working Papers
 
                   
| 
 | The Unit-Information Index: Balancing evidentiary value and sample size of adaptive designs.
 (with L. Held  and S. Pawel)
 
 Semi-supervised learning with unmatched regression data: A pseudo-likelihood approach.
 (with J. Chen)
 
 A Functional Data Analysis approach to a combined diagnostic test and severity for Arrhythmogenic Right Venticular Cardiomyopathy.
 (with  F. Beltrami, D. Cener, T. Donati, J. Schilling and F. Tanner)
 
 |  | 
        | Publications and Accepted Papers
 
                               | 
 | F. Balabdaoui, H. Besdziek and Y. Wang (2025)
 Parametric convergence rate of a non-parametric estimator in multivariate mixtures  of a power series distribution under conditional independence, accepted in  Journal of multivariate analysis .
 
 M. Akveld, F. Balabdaoui, G. Ionita and L. Tschannen (2025)
 Effective learning through online quizzes, accepted in  Teaching Mathematics and its Applications .
 
 F. Balabdaoui and H. Besdziek (2025)
 Simple estimators for the mixing proportion in semi-parametric mixtures, accepted in  Sankhya A .
 
 F. Balabdaoui, H. Besdziek and Y. Wang (2025)
 Parametric convergence rate of some non-parametric estimators in mixtures of power series distributions,  Electronic Journal of Statistics  19(2), 3686-3722.
 
 F. Balabdaoui, N. Dittmann-Domenichini, 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)
 Linear regression with unmatched data: a deconvolution perspective,  Journal of Machine Learning Research (JMLR) 25(197), 1-55.
 
 F. Balabdaoui, T. Wiezrbicki and E. Bao (2024)
 Reconstruction of the real 3D shape of the SARS-CoV-2 virus,  Biophysical Journal  123(10), 1297-1310.
 
 F. Balabdaoui, A. Henzi and L. Looser (2024)
 Estimation and convergence rates in the distributional single index models,  Statistica Neerlandica   https://doi.org/10.1111/stan.12336
 
 C. Fragneau, F. Balabdaoui, C. Durot and S. Stephan (2024)
 Rates of convergence of the constrained least squares estimator in high-dimensional single index models,  Communications in Statistics: Theory and Methods 1-25.
 
 F. Balabdaoui and H. Besdziek (2023)
 Maximum likelihood estimation of the log-concave compoment in a semi-parametric mixture with a standard normal density,  Journal of Planning and Statistical Inference  230, 106113.
 
 C. Micheloud, F. Balabdaoui and L. Held (2023)
 Assessing replicability with the sceptical p-value: Type-I 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,  Communications Physics  6(1), 270.
 
 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, 324-350.
 
 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).
 Dynamic measurement of gravitational coupling between reasonating beams in the hertz regime, Nature Physics  18, 952–957.
 
 F. Balabdaoui and Y. Kulagina (2021)
 The Enigma behind the Good-Turing'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, 1-60.
 
 F. Balabdaoui, C. Durot and C. Fragneau (2021)
 On the population least-squares criterion in the monotone single index model,  Statistica Neerlandica  75, 408-436.
 
 F. Balabdaoui and P. Groeneboom (2021)
 Profile least squares estimators in the monotone single index model,  Advances in Contemporary Statistics and Econometrics  3-22.
 
 F. Balabdaoui and D. Mohr (2020)
 Age-stratified discrete compartment model of the COVID-19 epidemic with applications to Switzerland,  Nature-Scientific 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 strain-stress curves with neural networks: a scalable alternative to the return mapping algorithm,    Computational Materials Science.  178, 1-10.
 
 F. Balabdaoui and G. de Fournas-Labrosse (2020)
 Least squares estimation of a completely monotone pmf: From Analysis to Statistics, Journal of Statistical Planning and Inference  206, 55-71.
 
 F. Balabdaoui, G. de Fournas-Labrosse and J. Giguelay (2019)
 Multiple monotonicity of discrete distributions: The case of the Poisson model,  Electronic Journal of Statistics  13, 1744-1758.
 
 F. Balabdaoui, P. Groeneboom and K. Hendrickx (2019)
 Score estimation in the monotone single index model, Scandinavian Journal of Statistics  46, 517-544.
 
 F. Balabdaoui, C. Durot and H. Jankowski (2019)
 Least squares estimation in the monotone single index model,  Journal of Bernoulli  25, 3276-3310.
 
 F. Balabdaoui and C. Doss (2018)
 Inference for a mixture of symmetric distributions under log-concavity, Journal of Bernoulli  24, 1053-1071.
 
 F. Balabdaoui, C. Durot and F. Koladjo (2018)
 Testing convexity of a discrete distribution,  Statistics and Probability Letters  137, 8-13.
 
 F. Balabdaoui (2017)
 Revisiting the Hodges-Lehmann estimator in a location mixture model: is asymptotic normality good enough?  Electronic Journal of Statistics  11, 4563-4595.
 
 W. Wei, F.Balabdaoui and L. Held (2017)
 Calibration tests for multivariate Gaussian forecasts,   Journal of multivariate analysis 154, 216-233.
 
 F. Balabdaoui, C. Durot and F. Koladjo (2017)
 On asymptotics of the discrete convex LSE of a pmf,  Journal of Bernoulli  23, 1449-1480.
 
 F. Balabdaoui and S. Basu (2016)
 Letter to the Editor. Comments on Groparu-Cojocaru and Doray (2013),  Communications in Statistics - Simulation and Computation  46, 3833-3840.
 
 F. Balabdaoui and H. K. Jankowski (2016)
 Maximum Likelihood estimation of a unimodal probability mass function,   Statistica Sinica . 26, 1061-1086.
 
 F. Balabdaoui and C. Durot (2015)
 Marshall lemma in discrete convex estimation,  Statistics and Probability Letters  99, 143-148.
 
 F. Balabdaoui and C. Butucea (2014)
 On location mixtures with Polya frequency components,  Statistics and Probability Letters  95, 144-149.
 
 F. Balabdaoui (2014)
 Global convergence of the log-concave MLE when the truth is geometric,  Journal of Nonparametric Statistics  26, 21-59.
 
 F. Balabdaoui and J. A. Wellner (2014)
 Chernoff's density is log-concave,  Journal of Bernoulli  20, 231-244.
 
 N. Akakpo, F. Balabdadoui and C. Durot (2014)
 Testing monotonicity via local least concave majorants,  Journal of Bernoulli  20, 514-544.
 
 F. Balabdaoui (2013)
 Discussion on "How to find an appropriate clustering for mixed type variables with application to socio-economic stratification" by Christian Henning and Tim Liao,  JRSS-C  62, 309-369.
 
 F. Balabdaoui, H. Jankowski, K. Rufibach and M. Pavlides (2013)
 Asymptotic distribution of the discrete log-concave MLE and related applications,  JRSS-B  75, 769-790.
 
 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, 405-418.
 
 F. Balabdaoui and J. Pitman (2011)
 The distribution of the maximal difference between Brownian bridge and its concave majorant,  Bernoulli  17, 466-483.
 
 F. Balabdaoui, H. Jankowski, M. Pavlides, A.Seregin and J. A. Wellner (2011)
 On the Grenander estimator at zero,  Statistica Sinica  21, 873--899.
 
 L.Held, K. Rufibach and F. Balabadaoui (2010)
 A score regression approach to assess calibration of continuous probabilistic predictions, Biometrics 66, 1295-1305.
 
 F. Balabdaoui, K. Rufibach and F. Santambrogio (2010)
 Least Squares estimation of two ordered monotone regression curves, Journal of Nonparametric Statistics  22, 1019-1037.
 
 Balabdaoui, F. and Wellner J. A. (2010)
 Estimation of a k-monotone density: characterizations, consistency and minimax lower bounds, Statistica Neerlandica  64, 45-70.
 
 Balabdaoui, F., Bissantz, K., Bissantz, N. and Holzmann, H. (2010)
 Demonstrating single- and multiple currents through the E. coli-SecYEG-pore:Testing for the number of modes of noisy observations, JASA and Case Studies  105, 136-146.
 
 F. Balabdaoui, M. Mielke and A. Munk (2009)
 The likelihood ratio test for non-standard hypotheses near the boundary on the null-with application to the assessment of non-inferiority,  Statistics and Decisions  24, 75-92.
 
 Balabdaoui, F., Rufibach, K. and Wellner, J. A. (2009)
 Limit distribution theory for maximum likelihood estimation of a log-concave density, Annals of Statistics 37, 1299-1331
 
 Balabdaoui, F. and Rufibach, K. (2008)
 A second Marshall inequality in convex estimation, Statistics and Probability Letters  78(2), 118-126
 
 Balabdaoui, F. and Wellner, J. A. (2007)
 Estimation of a k-monotone density: limit distribution theory and the Spline connection,  Annals of Statistics  35, 2536-2564 .
 
 Balabdaoui, F. and Wellner, J. A. (2007)
 A Kiefer-Wolfowitz theorem for convex densities, IMS LectureNotes 55, 1-31.
 
 Balabdaoui, F. (2007)
 Consistent estimation of a convex density at the origin,  Mathematical Methods of Statistics  16, 77-95.
 
 Tilmann Gneiting, Fadoua Balabdaoui and Adrian E. Raftery (2007)
 Probabilistic forecasts, calibration and sharpness,  Journal of the Royal Statistical Society: Series B   69, 1-26.
 
 Raftery, A., Gneiting, T., Balabdaoui, F. and Polakowski, M. (2005)
 Using Bayesian Model Averaging to Calibrate Forecast Ensembles, Monthly Weather Review  133, 1155-1174.
 
 Balabdaoui,F., Bocquet-Appel, J.-P., Lajaunie C. and Irudaya Rajan S (2001).
 Space-time evolution of the fertility transition in India, 1961-1991,  International Journal of Population Geography  7, 129-148.
 
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