Publications related to Parametric family

Higher Order Asymptotics: Applications to Satellite Conjunction and Boundary Problems

Higher-order asymptotics provide accurate approximations for use in parametric statistical modelling. In this thesis, we investigate using higher-order approximations in two-specific settings, with a particular emphasis on the tangent exponential model. ...

EPFL2023

Reconstruction Methods for Cryo-Electron Microscopy: From Model-based to Data-driven

Laurène Donati

The topic of this thesis is the development of new reconstruction methods for cryo-electron microscopy (cryo-EM). Cryo-EM has revolutionized the field of structural biology over the last decade and now permits the regular discovery of biostructures. Yet, t ...

EPFL2020

Robust Bounds In Multivariate Extremes

Sebastian Engelke

Extreme value theory provides an asymptotically justified framework for estimation of exceedance probabilities in regions where few or no observations are available. For multivariate tail estimation, the strength of extremal dependence is crucial and it is ...

Institute of Mathematical Statistics2017

Optimality of Operator-Like Wavelets for Representing Sparse AR(1) Processes

Michaël Unser, Pedram Pad

The discrete cosine transform (DCT) is known to be asymptotically equivalent to the Karhunen-Loève transform (KLT) of Gaussian first-order auto-regressive (AR(1)) processes. Since being uncorrelated under the Gaussian hypothesis is synonymous with independ ...

IEEE2015

From pointwise testing to a regional vision: An integrated statistical approach to detect nonstationarity in extreme daily rainfall. Application to the Sahelian region

Juliette Ferial Blanchet

Global warming is expected to intensify the hydrologic cycle. Documenting whether significant changes in the extreme precipitation regimes have already happened is consequently one of the challenging topics in climatic research. The high natural variabilit ...

Wiley-Blackwell2013

Output Probability Density Functions of Logic Circuits: Modeling and Fault-Tolerance Evaluation

Alexandre Schmid, Yusuf Leblebici, Milos Stanisavljevic

The precise evaluation of the reliability of logic circuits has a significant importance in highly-defective and future nanotechnologies. It allows efficient comparison of fault-tolerance techniques, and enables designs improvement with respect to their re ...

IEEE Service Center2010

Optimization of the Averaging Reliability Technique using Low Redundancy Factors for Nanoscale Technologies

Alexandre Schmid, Yusuf Leblebici, Milos Stanisavljevic

This paper presents a method enabling the evaluation of the averaging fault-tolerant technique, using the output probability density functions (PDFs) of unreliable units which are acquired from Monte Carlo simulations. The method has been verified by compa ...

2009

Acoustic models for posterior features in speech recognition

Guillermo Aradilla

In this thesis, we investigate the use of posterior probabilities of sub-word units directly as input features for automatic speech recognition (ASR). These posteriors, estimated from data-driven methods, display some favourable properties such as increase ...

EPFL2008