ENSAE Paris - École d'ingénieurs pour l'économie, la data science, la finance et l'actuariat
ENSAE Paris - École d'ingénieurs pour l'économie, la data science, la finance et l'actuariat
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Cristina BUTUCEA

Specialties:
Nonparametric and high-dimensional mathematical statistics
Inverse problems
Quantum statistics Privacy of data
Machine Learning

Department:
ENSAE-CREST
Statistics

Personal website

Faculty Bio

Professor of statistics and machine learning at ENSAE, Institut Polytechnique de Paris. Nominated IMS Fellow in 2019 CO-organiser of the Seminar of Statistics CREST-CMAP and of several conferences of mathematical statistics and machine learning (Fréjus 2018, Luminy 2019, 2020, Oberwolfach 2021) and of numerous sessions in international conferences. Associate Editor of ALEA

Courses

OMI360

Introduction to Applied Statistical Learning - CI/MS

Course Hours: 12

ECTS: 1

OMI1C1

Measure theory and the Lebesgue integral

Course Hours: 21

ECTS: 4

SE329

Nonparametic estimation and testing

Course Hours: 15

ECTS: 4

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