Rajita Ramesh Chandak

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rajita.chandak@epfl.ch +41 21 693 74 07 https://rajitachandak.github.io

EPFL > SB > SB-SMA > SMA-ENS

Web site:  Web site:  https://sma.epfl.ch/

EPFL SB MATH
CM 1 618 (Centre Midi)
Station 10
1015 Lausanne

+41 21 693 74 07
Office:  CM 1 618
EPFL > SB > MATH > MATH-GE

Web site:  Web site:  https://math.epfl.ch/

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Administrative data

Fields of expertise

Nonparametric estimation, statistical inference, theory of machine learning

Education

PhD

Princeton University

2024

Teaching & PhD

Teaching

Mathematics

Courses

Statistics for data science

Statistics lies at the foundation of data science, providing a unifying theoretical and methodological backbone for the diverse tasks enountered in this emerging field. This course rigorously develops the key notions and methods of statistics, with an emphasis on concepts rather than techniques.

Nonparametric estimation and inference

Nonparametric models are used to identify nonlinear relationships within data. This course gives a graduate-level overview of nonparametric statistical estimation and inference theory.