Publication

Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies

Chat with Graph Search

Ensemble learning for portfolio valuation and risk management

Extending Sensory Capabilities of a Biohybrid System: Prediction of Honeycomb Fill

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Two-particle Bose-Einstein correlations and their Lévy parameters in PbPb collisions at √sNN=5.02 TeV

On distributional autoregression and iterated transportation

Search for the lepton flavour violating decays B0→e±μ∓ and B0s→e±μ∓ with LHCb Run 2 data

Exploiting the Signal-Leak Bias in Diffusion Models

Euclid: Improving the efficiency of weak lensing shear bias calibration

Random matrix methods for high-dimensional machine learning models

Gibbs sampling the posterior of neural networks

It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons

Biases in Information Selection and Processing: Survey Evidence from the Pandemic

Identification of typical district configurations: A two-step global sensitivity analysis framework

Information Spectrum Converse for Minimum Entropy Couplings and Functional Representations

Graph generative deep learning models with an application to circuit topologies

Spectral Estimators for High-Dimensional Matrix Inference

Sensitivity to user mischaracterizations in electric vehicle charging

Robust optimization of control parameters for WEC arrays using stochastic methods